Index (Azure SDK for Java Reference Documentation)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
All Classes and Interfaces|All Packages

A

AAD - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value AAD for ConnectionAuthType.
AadAuthTypeWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: This connection type covers the AAD auth for any applicable Azure service.
AadAuthTypeWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Creates an instance of AadAuthTypeWorkspaceConnectionProperties class.
AADTOKEN - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode: Static value AADToken for EndpointAuthMode.
ACCESS_KEY - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value AccessKey for ConnectionAuthType.
AccessKeyAuthTypeWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: The AccessKeyAuthTypeWorkspaceConnectionProperties model.
AccessKeyAuthTypeWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Creates an instance of AccessKeyAuthTypeWorkspaceConnectionProperties class.
accessKeyId() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccessKey: Get the accessKeyId property: The accessKeyId property.
accessToken() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Get the accessToken property: Access token for endpoint authentication.
accessToken() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the accessToken property: The accessToken property.
accessToken() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthToken: Gets the accessToken property: Access token for endpoint authentication.
accessToken() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the accessToken property: The accessToken property.
ACCOUNT_KEY - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value AccountKey for ConnectionAuthType.
ACCOUNT_KEY - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value AccountKey for CredentialsType.
ACCOUNT_KEY - Static variable in class com.azure.resourcemanager.machinelearning.models.SecretsType: Static value AccountKey for SecretsType.
AccountKeyAuthTypeWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: This connection type covers the account key connection for Azure storage.
AccountKeyAuthTypeWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Creates an instance of AccountKeyAuthTypeWorkspaceConnectionProperties class.
AccountKeyDatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: Account key datastore credentials configuration.
AccountKeyDatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreCredentials: Creates an instance of AccountKeyDatastoreCredentials class.
AccountKeyDatastoreSecrets - Class in com.azure.resourcemanager.machinelearning.models: Datastore account key secrets.
AccountKeyDatastoreSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreSecrets: Creates an instance of AccountKeyDatastoreSecrets class.
accountName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the accountName property: Storage account name.
accountName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the accountName property: [Required] Storage account name.
accountName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the accountName property: [Required] Storage account name.
ACCURACY - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value Accuracy for ClassificationMultilabelPrimaryMetrics.
ACCURACY - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Static value Accuracy for ClassificationPrimaryMetrics.
acrAccountName() - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedAcrAccount: Get the acrAccountName property: Name of the ACR account.
acrAccountSku() - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedAcrAccount: Get the acrAccountSku property: SKU of the ACR account.
acrDetails() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryRegionArmDetails: Get the acrDetails property: List of ACR accounts.
AcrDetails - Class in com.azure.resourcemanager.machinelearning.models: Details of ACR account to be used for the Registry.
AcrDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.AcrDetails: Creates an instance of AcrDetails class.
action() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the action property: [Required] The compute power action.
action() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Get the action property: [Required] Specifies the action of the schedule.
action() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Get the action property: The action enum for networking rule.
actionsRequired() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Get the actionsRequired property: A message indicating if changes on the service provider require any updates on the consumer.
actionsRequired() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateLinkServiceConnectionState: Get the actionsRequired property: Some RP chose "None".
actionType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OperationInner: Get the actionType property: Enum.
actionType() - Method in class com.azure.resourcemanager.machinelearning.models.CreateMonitorAction: Get the actionType property: [Required] Specifies the action type of the schedule.
actionType() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointScheduleAction: Get the actionType property: [Required] Specifies the action type of the schedule.
actionType() - Method in class com.azure.resourcemanager.machinelearning.models.JobScheduleAction: Get the actionType property: [Required] Specifies the action type of the schedule.
actionType() - Method in interface com.azure.resourcemanager.machinelearning.models.Operation: Gets the actionType property: Enum.
actionType() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleActionBase: Get the actionType property: [Required] Specifies the action type of the schedule.
ActionType - Class in com.azure.resourcemanager.machinelearning.models: Enum.
ActionType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ActionType: Deprecated.
Use the ActionType.fromString(String) factory method.
ACTIVE - Static variable in class com.azure.resourcemanager.machinelearning.models.ManagedNetworkStatus: Static value Active for ManagedNetworkStatus.
ACTIVE - Static variable in class com.azure.resourcemanager.machinelearning.models.RuleStatus: Static value Active for RuleStatus.
ACTIVE_ONLY - Static variable in class com.azure.resourcemanager.machinelearning.models.ListViewType: Static value ActiveOnly for ListViewType.
ADAM - Static variable in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Static value Adam for StochasticOptimizer.
ADAMW - Static variable in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Static value Adamw for StochasticOptimizer.
additionalProperties() - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Get the additionalProperties property: Specifies the custom service configuration.
additionalProperties() - Method in class com.azure.resourcemanager.machinelearning.models.Docker: Get the additionalProperties property: Docker container configuration.
additionalProperties() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariable: Get the additionalProperties property: Environment Variables for the container.
additionalProperties() - Method in class com.azure.resourcemanager.machinelearning.models.Image: Get the additionalProperties property: Describes the Image Specifications.
additionalWorkspaceStorageAccounts() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceHubConfig: Get the additionalWorkspaceStorageAccounts property: The additionalWorkspaceStorageAccounts property.
address() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Get the address property: Public IP address of the master node of the cluster.
address() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the address property: Public IP address of the virtual machine.
addressPrefixes() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Get the addressPrefixes property: Optional, if provided, the ServiceTag property will be ignored.
ADLSGEN2 - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value ADLSGen2 for ConnectionCategory.
administratorAccount() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Get the administratorAccount property: Admin credentials for master node of the cluster.
administratorAccount() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the administratorAccount property: Admin credentials for virtual machine.
administratorAccount() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecrets: Get the administratorAccount property: Admin credentials for virtual machine.
administratorAccount() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecretsSchema: Get the administratorAccount property: Admin credentials for virtual machine.
adminKubeConfig() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Get the adminKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
adminKubeConfig() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Get the adminKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
adminPublicKey() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Get the adminPublicKey property: Specifies the SSH rsa public key file as a string.
adminUsername() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Get the adminUsername property: Describes the admin user name.
adminUsername() - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Get the adminUsername property: Name of the administrator user account which can be used to SSH to nodes.
adminUserPassword() - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Get the adminUserPassword property: Password of the administrator user account.
adminUserSshPublicKey() - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Get the adminUserSshPublicKey property: SSH public key of the administrator user account.
advancedSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the advancedSettings property: Settings for advanced scenarios.
agentCount() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the agentCount property: Number of agents.
agentVmSize() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the agentVmSize property: Agent virtual machine size.
AISERVICES - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AIServices for ConnectionCategory.
Aks - Class in com.azure.resourcemanager.machinelearning.models: A Machine Learning compute based on AKS.
Aks() - Constructor for class com.azure.resourcemanager.machinelearning.models.Aks: Creates an instance of Aks class.
AKS - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value AKS for ComputeType.
AksComputeSecrets - Class in com.azure.resourcemanager.machinelearning.models: Secrets related to a Machine Learning compute based on AKS.
AksComputeSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Creates an instance of AksComputeSecrets class.
AksComputeSecretsProperties - Class in com.azure.resourcemanager.machinelearning.models: Properties of AksComputeSecrets.
AksComputeSecretsProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Creates an instance of AksComputeSecretsProperties class.
aksNetworkingConfiguration() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the aksNetworkingConfiguration property: AKS networking configuration for vnet.
AksNetworkingConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Advance configuration for AKS networking.
AksNetworkingConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Creates an instance of AksNetworkingConfiguration class.
AksSchema - Class in com.azure.resourcemanager.machinelearning.models: The AksSchema model.
AksSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.AksSchema: Creates an instance of AksSchema class.
AksSchemaProperties - Class in com.azure.resourcemanager.machinelearning.models: AKS properties.
AksSchemaProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Creates an instance of AksSchemaProperties class.
alertNotificationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorDefinition: Get the alertNotificationSettings property: The monitor's notification settings.
ALL - Static variable in class com.azure.resourcemanager.machinelearning.models.ListViewType: Static value All for ListViewType.
ALL - Static variable in class com.azure.resourcemanager.machinelearning.models.NodesValueType: Static value All for NodesValueType.
ALL - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleListViewType: Static value All for ScheduleListViewType.
ALL_FEATURES - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureFilterType: Static value AllFeatures for MonitoringFeatureFilterType.
AllFeatures - Class in com.azure.resourcemanager.machinelearning.models: The AllFeatures model.
AllFeatures() - Constructor for class com.azure.resourcemanager.machinelearning.models.AllFeatures: Creates an instance of AllFeatures class.
AllNodes - Class in com.azure.resourcemanager.machinelearning.models: All nodes means the service will be running on all of the nodes of the job.
AllNodes() - Constructor for class com.azure.resourcemanager.machinelearning.models.AllNodes: Creates an instance of AllNodes class.
allocationState() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the allocationState property: Allocation state of the compute.
AllocationState - Class in com.azure.resourcemanager.machinelearning.models: Allocation state.
AllocationState() - Constructor for class com.azure.resourcemanager.machinelearning.models.AllocationState: Deprecated.
Use the AllocationState.fromString(String) factory method.
allocationStateTransitionTime() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the allocationStateTransitionTime property: The time at which the compute entered its current allocation state.
ALLOW - Static variable in class com.azure.resourcemanager.machinelearning.models.RuleAction: Static value Allow for RuleAction.
ALLOW_INTERNET_OUTBOUND - Static variable in class com.azure.resourcemanager.machinelearning.models.IsolationMode: Static value AllowInternetOutbound for IsolationMode.
ALLOW_ONLY_APPROVED_OUTBOUND - Static variable in class com.azure.resourcemanager.machinelearning.models.IsolationMode: Static value AllowOnlyApprovedOutbound for IsolationMode.
allowBlobPublicAccess() - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Get the allowBlobPublicAccess property: Public blob access allowed.
allowedTrainingAlgorithms() - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Get the allowedTrainingAlgorithms property: Allowed models for classification task.
allowedTrainingAlgorithms() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Get the allowedTrainingAlgorithms property: Allowed models for forecasting task.
allowedTrainingAlgorithms() - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Get the allowedTrainingAlgorithms property: Allowed models for regression task.
allowPublicAccessWhenBehindVnet() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
allowPublicAccessWhenBehindVnet() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
allowPublicAccessWhenBehindVnet() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
allowPublicAccessWhenBehindVnet() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
AMAZON_MWS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AmazonMws for ConnectionCategory.
AMAZON_RDS_FOR_ORACLE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AmazonRdsForOracle for ConnectionCategory.
AMAZON_RDS_FOR_SQL_SERVER - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AmazonRdsForSqlServer for ConnectionCategory.
AMAZON_REDSHIFT - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AmazonRedshift for ConnectionCategory.
AMAZON_S3COMPATIBLE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AmazonS3Compatible for ConnectionCategory.
AML_COMPUTE - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value AmlCompute for ComputeType.
AML_NOTIFICATION - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringNotificationType: Static value AmlNotification for MonitoringNotificationType.
AML_TOKEN - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitorComputeIdentityType: Static value AmlToken for MonitorComputeIdentityType.
AmlCompute - Class in com.azure.resourcemanager.machinelearning.models: An Azure Machine Learning compute.
AmlCompute() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlCompute: Creates an instance of AmlCompute class.
AmlComputeNodeInformation - Class in com.azure.resourcemanager.machinelearning.models: Compute node information related to a AmlCompute.
AmlComputeNodeInformation() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Creates an instance of AmlComputeNodeInformation class.
AmlComputeNodesInformation - Class in com.azure.resourcemanager.machinelearning.models: Result of AmlCompute Nodes.
AmlComputeNodesInformation() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlComputeNodesInformation: Creates an instance of AmlComputeNodesInformation class.
AmlComputeProperties - Class in com.azure.resourcemanager.machinelearning.models: AML Compute properties.
AmlComputeProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Creates an instance of AmlComputeProperties class.
AmlComputeSchema - Class in com.azure.resourcemanager.machinelearning.models: Properties(top level) of AmlCompute.
AmlComputeSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlComputeSchema: Creates an instance of AmlComputeSchema class.
AmlToken - Class in com.azure.resourcemanager.machinelearning.models: AML Token identity configuration.
AmlToken() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlToken: Creates an instance of AmlToken class.
AMLTOKEN - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode: Static value AMLToken for EndpointAuthMode.
AMLTOKEN - Static variable in class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType: Static value AMLToken for IdentityConfigurationType.
AmlTokenComputeIdentity - Class in com.azure.resourcemanager.machinelearning.models: AML token compute identity definition.
AmlTokenComputeIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.AmlTokenComputeIdentity: Creates an instance of AmlTokenComputeIdentity class.
AmlUserFeature - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of AmlUserFeature.
AmlUserFeatureInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Features enabled for a workspace.
AmlUserFeatureInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Creates an instance of AmlUserFeatureInner class.
amlWorkspaceLocation() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the amlWorkspaceLocation property: Region of the AML workspace in the id.
amlWorkspaceLocation() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the amlWorkspaceLocation property: Region of the AML workspace in the id.
amlWorkspaceLocation() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the amlWorkspaceLocation property: Region of the AML workspace in the id.
amlWorkspaceLocation() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the amlWorkspaceLocation property: Region of the AML workspace in the id.
amsGradient() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
amsGradient() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
AnonymousAccessCredential - Class in com.azure.resourcemanager.machinelearning.models: Access credential with no credentials.
AnonymousAccessCredential() - Constructor for class com.azure.resourcemanager.machinelearning.models.AnonymousAccessCredential: Creates an instance of AnonymousAccessCredential class.
API_KEY - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value ApiKey for ConnectionAuthType.
API_KEY - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value ApiKey for ConnectionCategory.
ApiKeyAuthWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: This connection type covers the generic ApiKey auth connection categories, for examples: AzureOpenAI: Category:= AzureOpenAI AuthType:= ApiKey (as type discriminator) Credentials:= {ApiKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= {ApiBase} CognitiveService: Category:= CognitiveService AuthType:= ApiKey (as type discriminator) Credentials:= {SubscriptionKey} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= ServiceRegion={serviceRegion} CognitiveSearch: Category:= CognitiveSearch AuthType:= ApiKey (as type discriminator) Credentials:= {Key} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.ApiKey Target:= {Endpoint} Use Metadata property bag for ApiType, ApiVersion, Kind and other metadata fields.
ApiKeyAuthWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Creates an instance of ApiKeyAuthWorkspaceConnectionProperties class.
APPEND_ROW - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchOutputAction: Static value AppendRow for BatchOutputAction.
appInsightsEnabled() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the appInsightsEnabled property: If true, enables Application Insights logging.
appInsightsInstrumentationKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Get the appInsightsInstrumentationKey property: The appInsightsInstrumentationKey property.
appInsightsInstrumentationKey() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the appInsightsInstrumentationKey property: The appInsightsInstrumentationKey property.
applicationInsights() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsights() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsights() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsights() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the applicationInsights property: Setting for diagnosing dependent application insights.
applicationInsights() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsights() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsights() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsights() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the applicationInsights property: ARM id of the application insights associated with this workspace.
applicationInsightsResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the applicationInsightsResults property: The applicationInsightsResults property.
applications() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the applications property: Describes available applications and their endpoints on this ComputeInstance.
applicationSharingPolicy() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the applicationSharingPolicy property: Policy for sharing applications on this compute instance among users of parent workspace.
ApplicationSharingPolicy - Class in com.azure.resourcemanager.machinelearning.models: Sharing policy for applications on this compute instance Policy for sharing applications on this compute instance among users of parent workspace.
ApplicationSharingPolicy() - Constructor for class com.azure.resourcemanager.machinelearning.models.ApplicationSharingPolicy: Deprecated.
Use the ApplicationSharingPolicy.fromString(String) factory method.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.Update: Executes the update request.
apply() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.Update: Executes the update request.
apply(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.Update: Executes the update request.
APPROVED - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointServiceConnectionStatus: Static value Approved for EndpointServiceConnectionStatus.
APPROVED - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Static value Approved for PrivateEndpointServiceConnectionStatus.
ARCHIVED_ONLY - Static variable in class com.azure.resourcemanager.machinelearning.models.ListViewType: Static value ArchivedOnly for ListViewType.
archives() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the archives property: Archive files used in the job.
args() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the args property: Arguments for the job.
ARIMAX - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value Arimax for ForecastingModels.
armResourceId() - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedAcrAccount: Get the armResourceId property: This is populated once the ACR account is created.
armResourceId() - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Get the armResourceId property: This is populated once the storage account is created.
armResourceId() - Method in class com.azure.resourcemanager.machinelearning.models.UserCreatedAcrAccount: Get the armResourceId property: ARM ResourceId of a resource.
armResourceId() - Method in class com.azure.resourcemanager.machinelearning.models.UserCreatedStorageAccount: Get the armResourceId property: ARM ResourceId of a resource.
ArmResourceId - Class in com.azure.resourcemanager.machinelearning.models: ARM ResourceId of a resource.
ArmResourceId() - Constructor for class com.azure.resourcemanager.machinelearning.models.ArmResourceId: Creates an instance of ArmResourceId class.
artifact() - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Get the artifact property: [Required] OneLake artifact backing the datastore.
artifactName() - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeArtifact: Get the artifactName property: [Required] OneLake artifact name.
artifactType() - Method in class com.azure.resourcemanager.machinelearning.models.LakeHouseArtifact: Get the artifactType property: [Required] OneLake artifact type.
artifactType() - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeArtifact: Get the artifactType property: [Required] OneLake artifact type.
AssetBase - Class in com.azure.resourcemanager.machinelearning.models: The AssetBase model.
AssetBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssetBase: Creates an instance of AssetBase class.
AssetContainer - Class in com.azure.resourcemanager.machinelearning.models: The AssetContainer model.
AssetContainer() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssetContainer: Creates an instance of AssetContainer class.
assetId() - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceSasRequestDto: Get the assetId property: Id of the asset to be accessed.
assetId() - Method in class com.azure.resourcemanager.machinelearning.models.IdAssetReference: Get the assetId property: [Required] ARM resource ID of the asset.
AssetJobInput - Class in com.azure.resourcemanager.machinelearning.models: Asset input type.
AssetJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Creates an instance of AssetJobInput class.
AssetJobOutput - Class in com.azure.resourcemanager.machinelearning.models: Asset output type.
AssetJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Creates an instance of AssetJobOutput class.
AssetProvisioningState - Class in com.azure.resourcemanager.machinelearning.models: Provisioning state of registry asset.
AssetProvisioningState() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssetProvisioningState: Deprecated.
Use the AssetProvisioningState.fromString(String) factory method.
AssetReferenceBase - Class in com.azure.resourcemanager.machinelearning.models: Base definition for asset references.
AssetReferenceBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssetReferenceBase: Creates an instance of AssetReferenceBase class.
assignedUser() - Method in class com.azure.resourcemanager.machinelearning.models.PersonalComputeInstanceSettings: Get the assignedUser property: A user explicitly assigned to a personal compute instance.
AssignedUser - Class in com.azure.resourcemanager.machinelearning.models: A user that can be assigned to a compute instance.
AssignedUser() - Constructor for class com.azure.resourcemanager.machinelearning.models.AssignedUser: Creates an instance of AssignedUser class.
associatedWorkspaces() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the associatedWorkspaces property: The associatedWorkspaces property.
associatedWorkspaces() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the associatedWorkspaces property: The associatedWorkspaces property.
associatedWorkspaces() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the associatedWorkspaces property: The associatedWorkspaces property.
associatedWorkspaces() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the associatedWorkspaces property: The associatedWorkspaces property.
AUCWEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value AUCWeighted for ClassificationMultilabelPrimaryMetrics.
AUCWEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Static value AUCWeighted for ClassificationPrimaryMetrics.
augmentations() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the augmentations property: Settings for using Augmentations.
augmentations() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the augmentations property: Settings for using Augmentations.
authenticate(TokenCredential, AzureProfile) - Static method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Creates an instance of Machine Learning service API entry point.
authenticate(TokenCredential, AzureProfile) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Creates an instance of Machine Learning service API entry point.
authenticate(HttpPipeline, AzureProfile) - Static method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Creates an instance of Machine Learning service API entry point.
authMode() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the authMode property: [Required] Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication.
authMode() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the authMode property: [Required] Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication.
authMode() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Get the authMode property: [Required] Specifies the authentication mode for the Serverless endpoint.
authorityUrl() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the authorityUrl property: Authority URL used for authentication.
authorityUrl() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Get the authorityUrl property: Authority URL used for authentication.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Get the authType property: Authentication type of the connection target.
authType() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Get the authType property: Authentication type of the connection target.
authUrl() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Get the authUrl property: Required by Concur connection category.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureLags: Static value Auto for FeatureLags.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.FeaturizationMode: Static value Auto for FeaturizationMode.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastHorizonMode: Static value Auto for ForecastHorizonMode.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.NCrossValidationsMode: Static value Auto for NCrossValidationsMode.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.SeasonalityMode: Static value Auto for SeasonalityMode.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Static value Auto for ShortSeriesHandlingConfiguration.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.SslConfigStatus: Static value Auto for SslConfigStatus.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetLagsMode: Static value Auto for TargetLagsMode.
AUTO - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSizeMode: Static value Auto for TargetRollingWindowSizeMode.
AUTO_ARIMA - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value AutoArima for ForecastingModels.
AUTO_ML - Static variable in class com.azure.resourcemanager.machinelearning.models.JobType: Static value AutoML for JobType.
AutoForecastHorizon - Class in com.azure.resourcemanager.machinelearning.models: Forecast horizon determined automatically by system.
AutoForecastHorizon() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoForecastHorizon: Creates an instance of AutoForecastHorizon class.
AUTOMATIC - Static variable in class com.azure.resourcemanager.machinelearning.models.SkuScaleType: Static value Automatic for SkuScaleType.
AutoMLJob - Class in com.azure.resourcemanager.machinelearning.models: AutoMLJob class.
AutoMLJob() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Creates an instance of AutoMLJob class.
AutoMLVertical - Class in com.azure.resourcemanager.machinelearning.models: AutoML vertical class.
AutoMLVertical() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Creates an instance of AutoMLVertical class.
AutoNCrossValidations - Class in com.azure.resourcemanager.machinelearning.models: N-Cross validations determined automatically.
AutoNCrossValidations() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoNCrossValidations: Creates an instance of AutoNCrossValidations class.
autoPauseProperties() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the autoPauseProperties property: Auto pause properties.
AutoPauseProperties - Class in com.azure.resourcemanager.machinelearning.models: Auto pause properties.
AutoPauseProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Creates an instance of AutoPauseProperties class.
autoRebuild() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Get the autoRebuild property: Defines if image needs to be rebuilt based on base image changes.
AutoRebuildSetting - Class in com.azure.resourcemanager.machinelearning.models: AutoRebuild setting for the derived image.
AutoRebuildSetting() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoRebuildSetting: Deprecated.
Use the AutoRebuildSetting.fromString(String) factory method.
autosave() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the autosave property: Auto save settings.
Autosave - Class in com.azure.resourcemanager.machinelearning.models: Auto save settings.
Autosave() - Constructor for class com.azure.resourcemanager.machinelearning.models.Autosave: Deprecated.
Use the Autosave.fromString(String) factory method.
autoScaleProperties() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the autoScaleProperties property: Auto scale properties.
AutoScaleProperties - Class in com.azure.resourcemanager.machinelearning.models: Auto scale properties.
AutoScaleProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Creates an instance of AutoScaleProperties class.
AutoSeasonality - Class in com.azure.resourcemanager.machinelearning.models: The AutoSeasonality model.
AutoSeasonality() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoSeasonality: Creates an instance of AutoSeasonality class.
AutoTargetLags - Class in com.azure.resourcemanager.machinelearning.models: The AutoTargetLags model.
AutoTargetLags() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoTargetLags: Creates an instance of AutoTargetLags class.
AutoTargetRollingWindowSize - Class in com.azure.resourcemanager.machinelearning.models: Target lags rolling window determined automatically.
AutoTargetRollingWindowSize() - Constructor for class com.azure.resourcemanager.machinelearning.models.AutoTargetRollingWindowSize: Creates an instance of AutoTargetRollingWindowSize class.
AVERAGE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value Average for ForecastingModels.
AVERAGE_PRECISION_SCORE_WEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value AveragePrecisionScoreWeighted for ClassificationMultilabelPrimaryMetrics.
AVERAGE_PRECISION_SCORE_WEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Static value AveragePrecisionScoreWeighted for ClassificationPrimaryMetrics.
AZURE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionGroup: Static value Azure for ConnectionGroup.
AZURE_AI - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionGroup: Static value AzureAI for ConnectionGroup.
AZURE_BLOB - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzureBlob for ConnectionCategory.
AZURE_BLOB - Static variable in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Static value AzureBlob for DatastoreType.
AZURE_DATA_EXPLORER - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzureDataExplorer for ConnectionCategory.
AZURE_DATA_LAKE_GEN1 - Static variable in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Static value AzureDataLakeGen1 for DatastoreType.
AZURE_DATA_LAKE_GEN2 - Static variable in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Static value AzureDataLakeGen2 for DatastoreType.
AZURE_DATABRICKS_DELTA_LAKE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzureDatabricksDeltaLake for ConnectionCategory.
AZURE_DEV_OPS - Static variable in class com.azure.resourcemanager.machinelearning.models.WebhookType: Static value AzureDevOps for WebhookType.
AZURE_FILE - Static variable in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Static value AzureFile for DatastoreType.
AZURE_MARIA_DB - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzureMariaDb for ConnectionCategory.
AZURE_MLCOMPUTE - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointComputeType: Static value AzureMLCompute for EndpointComputeType.
AZURE_MY_SQL_DB - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzureMySqlDb for ConnectionCategory.
AZURE_ONE_LAKE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzureOneLake for ConnectionCategory.
AZURE_OPEN_AI - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzureOpenAI for ConnectionCategory.
AZURE_POSTGRES_DB - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzurePostgresDb for ConnectionCategory.
AZURE_SQL_DB - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzureSqlDb for ConnectionCategory.
AZURE_SQL_MI - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzureSqlMi for ConnectionCategory.
AZURE_SYNAPSE_ANALYTICS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzureSynapseAnalytics for ConnectionCategory.
AZURE_TABLE_STORAGE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value AzureTableStorage for ConnectionCategory.
AzureBlobDatastore - Class in com.azure.resourcemanager.machinelearning.models: Azure Blob datastore configuration.
AzureBlobDatastore() - Constructor for class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Creates an instance of AzureBlobDatastore class.
AzureDataLakeGen1Datastore - Class in com.azure.resourcemanager.machinelearning.models: Azure Data Lake Gen1 datastore configuration.
AzureDataLakeGen1Datastore() - Constructor for class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Creates an instance of AzureDataLakeGen1Datastore class.
AzureDataLakeGen2Datastore - Class in com.azure.resourcemanager.machinelearning.models: Azure Data Lake Gen2 datastore configuration.
AzureDataLakeGen2Datastore() - Constructor for class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Creates an instance of AzureDataLakeGen2Datastore class.
AzureDatastore - Class in com.azure.resourcemanager.machinelearning.models: Base definition for Azure datastore contents configuration.
AzureDatastore() - Constructor for class com.azure.resourcemanager.machinelearning.models.AzureDatastore: Creates an instance of AzureDatastore class.
AzureDevOpsWebhook - Class in com.azure.resourcemanager.machinelearning.models: Webhook details specific for Azure DevOps.
AzureDevOpsWebhook() - Constructor for class com.azure.resourcemanager.machinelearning.models.AzureDevOpsWebhook: Creates an instance of AzureDevOpsWebhook class.
AzureFileDatastore - Class in com.azure.resourcemanager.machinelearning.models: Azure File datastore configuration.
AzureFileDatastore() - Constructor for class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Creates an instance of AzureFileDatastore class.
AzureMachineLearningWorkspaces - Interface in com.azure.resourcemanager.machinelearning.fluent: The interface for AzureMachineLearningWorkspaces class.
AZUREML - Static variable in class com.azure.resourcemanager.machinelearning.models.ImageType: Static value azureml for ImageType.

B

backfill(FeaturesetVersionBackfillRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Backfill.
backfill(FeaturesetVersionBackfillRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Backfill.
backfill(String, String, String, String, FeaturesetVersionBackfillRequest) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Backfill.
backfill(String, String, String, String, FeaturesetVersionBackfillRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: Backfill.
backfill(String, String, String, String, FeaturesetVersionBackfillRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Backfill.
backfill(String, String, String, String, FeaturesetVersionBackfillRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: Backfill.
BANDIT - Static variable in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType: Static value Bandit for EarlyTerminationPolicyType.
BanditPolicy - Class in com.azure.resourcemanager.machinelearning.models: Defines an early termination policy based on slack criteria, and a frequency and delay interval for evaluation.
BanditPolicy() - Constructor for class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Creates an instance of BanditPolicy class.
BASIC - Enum constant in enum com.azure.resourcemanager.machinelearning.models.SkuTier: Enum value Basic.
BASIC - Static variable in class com.azure.resourcemanager.machinelearning.models.JobTier: Static value Basic for JobTier.
BatchDeployment - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of BatchDeployment.
BatchDeployment.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the BatchDeployment definition.
BatchDeployment.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The BatchDeployment definition stages.
BatchDeployment.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the BatchDeployment definition.
BatchDeployment.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeployment definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
BatchDeployment.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeployment definition allowing to specify identity.
BatchDeployment.DefinitionStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeployment definition allowing to specify kind.
BatchDeployment.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeployment definition allowing to specify location.
BatchDeployment.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeployment definition allowing to specify parent resource.
BatchDeployment.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeployment definition allowing to specify properties.
BatchDeployment.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeployment definition allowing to specify sku.
BatchDeployment.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeployment definition allowing to specify tags.
BatchDeployment.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for BatchDeployment update.
BatchDeployment.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The BatchDeployment update stages.
BatchDeployment.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeployment update allowing to specify properties.
BatchDeployment.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchDeployment update allowing to specify tags.
BatchDeploymentConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Properties relevant to different deployment types.
BatchDeploymentConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchDeploymentConfiguration: Creates an instance of BatchDeploymentConfiguration class.
BatchDeploymentConfigurationType - Class in com.azure.resourcemanager.machinelearning.models: The enumerated property types for batch deployments.
BatchDeploymentConfigurationType() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchDeploymentConfigurationType: Deprecated.
Use the BatchDeploymentConfigurationType.fromString(String) factory method.
BatchDeploymentInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The BatchDeployment model.
BatchDeploymentInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Creates an instance of BatchDeploymentInner class.
BatchDeploymentProperties - Class in com.azure.resourcemanager.machinelearning.models: Batch inference settings per deployment.
BatchDeploymentProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Creates an instance of BatchDeploymentProperties class.
batchDeployments() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of BatchDeployments.
BatchDeployments - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of BatchDeployments.
BatchDeploymentsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in BatchDeploymentsClient.
BatchDeploymentTrackedResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of BatchDeployment entities.
BatchDeploymentTrackedResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Creates an instance of BatchDeploymentTrackedResourceArmPaginatedResult class.
BatchEndpoint - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of BatchEndpoint.
BatchEndpoint.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the BatchEndpoint definition.
BatchEndpoint.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The BatchEndpoint definition stages.
BatchEndpoint.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the BatchEndpoint definition.
BatchEndpoint.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpoint definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
BatchEndpoint.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpoint definition allowing to specify identity.
BatchEndpoint.DefinitionStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpoint definition allowing to specify kind.
BatchEndpoint.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpoint definition allowing to specify location.
BatchEndpoint.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpoint definition allowing to specify parent resource.
BatchEndpoint.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpoint definition allowing to specify properties.
BatchEndpoint.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpoint definition allowing to specify sku.
BatchEndpoint.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpoint definition allowing to specify tags.
BatchEndpoint.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for BatchEndpoint update.
BatchEndpoint.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The BatchEndpoint update stages.
BatchEndpoint.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpoint update allowing to specify identity.
BatchEndpoint.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the BatchEndpoint update allowing to specify tags.
BatchEndpointDefaults - Class in com.azure.resourcemanager.machinelearning.models: Batch endpoint default values.
BatchEndpointDefaults() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchEndpointDefaults: Creates an instance of BatchEndpointDefaults class.
BatchEndpointInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The BatchEndpoint model.
BatchEndpointInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Creates an instance of BatchEndpointInner class.
BatchEndpointProperties - Class in com.azure.resourcemanager.machinelearning.models: Batch endpoint configuration.
BatchEndpointProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Creates an instance of BatchEndpointProperties class.
batchEndpoints() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of BatchEndpoints.
BatchEndpoints - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of BatchEndpoints.
BatchEndpointsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in BatchEndpointsClient.
BatchEndpointTrackedResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of BatchEndpoint entities.
BatchEndpointTrackedResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Creates an instance of BatchEndpointTrackedResourceArmPaginatedResult class.
BatchLoggingLevel - Class in com.azure.resourcemanager.machinelearning.models: Log verbosity for batch inferencing.
BatchLoggingLevel() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel: Deprecated.
Use the BatchLoggingLevel.fromString(String) factory method.
BatchOutputAction - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine how batch inferencing will handle output.
BatchOutputAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchOutputAction: Deprecated.
Use the BatchOutputAction.fromString(String) factory method.
BatchPipelineComponentDeploymentConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Properties for a Batch Pipeline Component Deployment.
BatchPipelineComponentDeploymentConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Creates an instance of BatchPipelineComponentDeploymentConfiguration class.
BatchRetrySettings - Class in com.azure.resourcemanager.machinelearning.models: Retry settings for a batch inference operation.
BatchRetrySettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Creates an instance of BatchRetrySettings class.
BAYESIAN - Static variable in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType: Static value Bayesian for SamplingAlgorithmType.
BayesianSamplingAlgorithm - Class in com.azure.resourcemanager.machinelearning.models: Defines a Sampling Algorithm that generates values based on previous values.
BayesianSamplingAlgorithm() - Constructor for class com.azure.resourcemanager.machinelearning.models.BayesianSamplingAlgorithm: Creates an instance of BayesianSamplingAlgorithm class.
beginBackfill(String, String, String, String, FeaturesetVersionBackfillRequest) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Backfill.
beginBackfill(String, String, String, String, FeaturesetVersionBackfillRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Backfill.
beginCancel(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Cancels a Job (asynchronous).
beginCancel(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Cancels a Job (asynchronous).
beginCreateOrUpdate(String, String, RegistryInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Create or update registry.
beginCreateOrUpdate(String, String, RegistryInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Create or update registry.
beginCreateOrUpdate(String, String, WorkspaceInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Creates or updates a workspace with the specified parameters.
beginCreateOrUpdate(String, String, WorkspaceInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Creates or updates a workspace with the specified parameters.
beginCreateOrUpdate(String, String, String, BatchEndpointInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Creates a batch inference endpoint (asynchronous).
beginCreateOrUpdate(String, String, String, BatchEndpointInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Creates a batch inference endpoint (asynchronous).
beginCreateOrUpdate(String, String, String, CodeContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: Create or update Code container.
beginCreateOrUpdate(String, String, String, CodeContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: Create or update Code container.
beginCreateOrUpdate(String, String, String, ComponentContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: Create or update container.
beginCreateOrUpdate(String, String, String, ComponentContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: Create or update container.
beginCreateOrUpdate(String, String, String, ComputeResourceInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Creates or updates compute.
beginCreateOrUpdate(String, String, String, ComputeResourceInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Creates or updates compute.
beginCreateOrUpdate(String, String, String, DataContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: Create or update container.
beginCreateOrUpdate(String, String, String, DataContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: Create or update container.
beginCreateOrUpdate(String, String, String, EnvironmentContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: Create or update container.
beginCreateOrUpdate(String, String, String, EnvironmentContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: Create or update container.
beginCreateOrUpdate(String, String, String, FeaturesetContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: Create or update container.
beginCreateOrUpdate(String, String, String, FeaturesetContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: Create or update container.
beginCreateOrUpdate(String, String, String, FeaturestoreEntityContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: Create or update container.
beginCreateOrUpdate(String, String, String, FeaturestoreEntityContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: Create or update container.
beginCreateOrUpdate(String, String, String, MarketplaceSubscriptionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: Create or update Marketplace Subscription (asynchronous).
beginCreateOrUpdate(String, String, String, MarketplaceSubscriptionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: Create or update Marketplace Subscription (asynchronous).
beginCreateOrUpdate(String, String, String, ModelContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: Create or update model container.
beginCreateOrUpdate(String, String, String, ModelContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: Create or update model container.
beginCreateOrUpdate(String, String, String, OnlineEndpointInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Create or update Online Endpoint (asynchronous).
beginCreateOrUpdate(String, String, String, OnlineEndpointInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Create or update Online Endpoint (asynchronous).
beginCreateOrUpdate(String, String, String, OutboundRuleBasicResourceInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Creates or updates an outbound rule in the managed network of a machine learning workspace.
beginCreateOrUpdate(String, String, String, OutboundRuleBasicResourceInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Creates or updates an outbound rule in the managed network of a machine learning workspace.
beginCreateOrUpdate(String, String, String, ScheduleInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: Create or update schedule.
beginCreateOrUpdate(String, String, String, ScheduleInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: Create or update schedule.
beginCreateOrUpdate(String, String, String, ServerlessEndpointInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Create or update Serverless Endpoint (asynchronous).
beginCreateOrUpdate(String, String, String, ServerlessEndpointInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Create or update Serverless Endpoint (asynchronous).
beginCreateOrUpdate(String, String, String, String, BatchDeploymentInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Creates/updates a batch inference deployment (asynchronous).
beginCreateOrUpdate(String, String, String, String, BatchDeploymentInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Creates/updates a batch inference deployment (asynchronous).
beginCreateOrUpdate(String, String, String, String, CodeVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, CodeVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, ComponentVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, ComponentVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, DataVersionBaseInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, DataVersionBaseInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, EnvironmentVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, EnvironmentVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, FeaturesetVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, FeaturesetVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, FeaturestoreEntityVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, FeaturestoreEntityVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, ModelVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, ModelVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Create or update version.
beginCreateOrUpdate(String, String, String, String, OnlineDeploymentInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Create or update Inference Endpoint Deployment (asynchronous).
beginCreateOrUpdate(String, String, String, String, OnlineDeploymentInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Create or update Inference Endpoint Deployment (asynchronous).
beginDelete(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Delete registry.
beginDelete(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Deletes a machine learning workspace.
beginDelete(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Delete registry.
beginDelete(String, String, Boolean, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Deletes a machine learning workspace.
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Delete Batch Inference Endpoint (asynchronous).
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: Delete container.
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: Delete container.
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Deletes a Job (asynchronous).
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Deletes an outbound rule from the managed network of a machine learning workspace.
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: Delete Marketplace Subscription (asynchronous).
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Delete Online Endpoint (asynchronous).
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: Delete Code container.
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: Delete container.
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: Delete container.
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: Delete container.
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: Delete container.
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: Delete schedule.
beginDelete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Delete Serverless Endpoint (asynchronous).
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Delete Batch Inference Endpoint (asynchronous).
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: Delete container.
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: Delete container.
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Deletes a Job (asynchronous).
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Deletes an outbound rule from the managed network of a machine learning workspace.
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: Delete Marketplace Subscription (asynchronous).
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Delete Online Endpoint (asynchronous).
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: Delete Code container.
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: Delete container.
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: Delete container.
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: Delete container.
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: Delete container.
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: Delete schedule.
beginDelete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Delete Serverless Endpoint (asynchronous).
beginDelete(String, String, String, UnderlyingResourceAction) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Deletes specified Machine Learning compute.
beginDelete(String, String, String, UnderlyingResourceAction, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Deletes specified Machine Learning compute.
beginDelete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Delete Batch Inference deployment (asynchronous).
beginDelete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Delete version.
beginDelete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: Delete version.
beginDelete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Delete Inference Endpoint Deployment (asynchronous).
beginDelete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Delete version.
beginDelete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: Delete version.
beginDelete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Delete version.
beginDelete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: Delete version.
beginDelete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Delete version.
beginDelete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Delete Batch Inference deployment (asynchronous).
beginDelete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Delete version.
beginDelete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: Delete version.
beginDelete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Delete Inference Endpoint Deployment (asynchronous).
beginDelete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Delete version.
beginDelete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: Delete version.
beginDelete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Delete version.
beginDelete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: Delete version.
beginDelete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Delete version.
beginDiagnose(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Diagnose workspace setup issue.
beginDiagnose(String, String, DiagnoseWorkspaceParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Diagnose workspace setup issue.
beginPrepareNotebook(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Prepare a notebook.
beginPrepareNotebook(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Prepare a notebook.
beginProvisionManagedNetwork(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkProvisionsClient: Provisions the managed network of a machine learning workspace.
beginProvisionManagedNetwork(String, String, ManagedNetworkProvisionOptions, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkProvisionsClient: Provisions the managed network of a machine learning workspace.
beginPublish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Publish version asset into registry.
beginPublish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Publish version asset into registry.
beginPublish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Publish version asset into registry.
beginPublish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Publish version asset into registry.
beginPublish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Publish version asset into registry.
beginPublish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Publish version asset into registry.
beginPublish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Publish version asset into registry.
beginPublish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Publish version asset into registry.
beginPublish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Publish version asset into registry.
beginPublish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Publish version asset into registry.
beginRegenerateKeys(String, String, String, RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
beginRegenerateKeys(String, String, String, RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
beginRegenerateKeys(String, String, String, RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
beginRegenerateKeys(String, String, String, RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
beginRemoveRegions(String, String, RegistryInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Remove regions from registry.
beginRemoveRegions(String, String, RegistryInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Remove regions from registry.
beginRestart(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a restart action to a compute instance.
beginRestart(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a restart action to a compute instance.
beginResyncKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Resync all the keys associated with this workspace.
beginResyncKeys(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Resync all the keys associated with this workspace.
beginStart(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a start action to a compute instance.
beginStart(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a start action to a compute instance.
beginStop(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a stop action to a compute instance.
beginStop(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a stop action to a compute instance.
beginUpdate(String, String, WorkspaceUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Updates a machine learning workspace with the specified parameters.
beginUpdate(String, String, WorkspaceUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Updates a machine learning workspace with the specified parameters.
beginUpdate(String, String, String, ClusterUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Updates properties of a compute.
beginUpdate(String, String, String, ClusterUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Updates properties of a compute.
beginUpdate(String, String, String, PartialMinimalTrackedResourceWithIdentity) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Update a batch inference endpoint (asynchronous).
beginUpdate(String, String, String, PartialMinimalTrackedResourceWithIdentity) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Update Online Endpoint (asynchronous).
beginUpdate(String, String, String, PartialMinimalTrackedResourceWithIdentity, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Update a batch inference endpoint (asynchronous).
beginUpdate(String, String, String, PartialMinimalTrackedResourceWithIdentity, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Update Online Endpoint (asynchronous).
beginUpdate(String, String, String, PartialMinimalTrackedResourceWithSkuAndIdentity) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Update Serverless Endpoint (asynchronous).
beginUpdate(String, String, String, PartialMinimalTrackedResourceWithSkuAndIdentity, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Update Serverless Endpoint (asynchronous).
beginUpdate(String, String, String, String, PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Update a batch inference deployment (asynchronous).
beginUpdate(String, String, String, String, PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Update a batch inference deployment (asynchronous).
beginUpdate(String, String, String, String, PartialMinimalTrackedResourceWithSku) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Update Online Deployment (asynchronous).
beginUpdate(String, String, String, String, PartialMinimalTrackedResourceWithSku, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Update Online Deployment (asynchronous).
BERNOULLI_NAIVE_BAYES - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value BernoulliNaiveBayes for ClassificationModels.
beta1() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
beta1() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
beta2() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
beta2() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
billingCurrency() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Get the billingCurrency property: Three lettered code specifying the currency of the VM price.
BillingCurrency - Class in com.azure.resourcemanager.machinelearning.models: Billing currency Three lettered code specifying the currency of the VM price.
BillingCurrency() - Constructor for class com.azure.resourcemanager.machinelearning.models.BillingCurrency: Deprecated.
Use the BillingCurrency.fromString(String) factory method.
BINARY - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureDataType: Static value Binary for FeatureDataType.
bind() - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Get the bind property: Bind Options of the mount.
BIND - Static variable in class com.azure.resourcemanager.machinelearning.models.VolumeDefinitionType: Static value bind for VolumeDefinitionType.
BindOptions - Class in com.azure.resourcemanager.machinelearning.models: Describes the bind options for the container.
BindOptions() - Constructor for class com.azure.resourcemanager.machinelearning.models.BindOptions: Creates an instance of BindOptions class.
BING_LLMSEARCH - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value BingLLMSearch for ConnectionCategory.
blobReferenceForConsumption() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.GetBlobReferenceSasResponseDtoInner: Get the blobReferenceForConsumption property: Blob reference for consumption details.
blobReferenceForConsumption() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PendingUploadResponseDtoInner: Get the blobReferenceForConsumption property: Container level read, write, list SAS.
blobReferenceForConsumption() - Method in interface com.azure.resourcemanager.machinelearning.models.GetBlobReferenceSasResponseDto: Gets the blobReferenceForConsumption property: Blob reference for consumption details.
blobReferenceForConsumption() - Method in interface com.azure.resourcemanager.machinelearning.models.PendingUploadResponseDto: Gets the blobReferenceForConsumption property: Container level read, write, list SAS.
BlobReferenceForConsumptionDto - Class in com.azure.resourcemanager.machinelearning.models: The BlobReferenceForConsumptionDto model.
BlobReferenceForConsumptionDto() - Constructor for class com.azure.resourcemanager.machinelearning.models.BlobReferenceForConsumptionDto: Creates an instance of BlobReferenceForConsumptionDto class.
blobUri() - Method in class com.azure.resourcemanager.machinelearning.models.BlobReferenceForConsumptionDto: Get the blobUri property: Blob URI path for client to upload data.
blobUri() - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceForConsumptionDto: Get the blobUri property: Blob uri, example: https://blob.windows.core.net/Container/Path.
blobUri() - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceSasRequestDto: Get the blobUri property: Blob uri of the asset to be accessed.
blockedTrainingAlgorithms() - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Get the blockedTrainingAlgorithms property: Blocked models for classification task.
blockedTrainingAlgorithms() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Get the blockedTrainingAlgorithms property: Blocked models for forecasting task.
blockedTrainingAlgorithms() - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Get the blockedTrainingAlgorithms property: Blocked models for regression task.
blockedTransformers() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Get the blockedTransformers property: These transformers shall not be used in featurization.
BlockedTransformers - Class in com.azure.resourcemanager.machinelearning.models: Enum for all classification models supported by AutoML.
BlockedTransformers() - Constructor for class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Deprecated.
Use the BlockedTransformers.fromString(String) factory method.
BOOLEAN - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureDataType: Static value Boolean for FeatureDataType.
boxDetectionsPerImage() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the boxDetectionsPerImage property: Maximum number of detections per image, for all classes.
boxDetectionsPerImage() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the boxDetectionsPerImage property: Maximum number of detections per image, for all classes.
boxScoreThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the boxScoreThreshold property: During inference, only return proposals with a classification score greater than BoxScoreThreshold.
boxScoreThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the boxScoreThreshold property: During inference, only return proposals with a classification score greater than BoxScoreThreshold.
BRIDGE - Static variable in class com.azure.resourcemanager.machinelearning.models.Network: Static value Bridge for Network.
build() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Get the build property: Configuration settings for Docker build context.
BuildContext - Class in com.azure.resourcemanager.machinelearning.models: Configuration settings for Docker build context.
BuildContext() - Constructor for class com.azure.resourcemanager.machinelearning.models.BuildContext: Creates an instance of BuildContext class.

C

caching() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Get the caching property: Caching type of Data Disk.
Caching - Class in com.azure.resourcemanager.machinelearning.models: Caching type of Data Disk.
Caching() - Constructor for class com.azure.resourcemanager.machinelearning.models.Caching: Deprecated.
Use the Caching.fromString(String) factory method.
cancel() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Cancels a Job (asynchronous).
cancel(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Cancels a Job (asynchronous).
cancel(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Cancels a Job (asynchronous).
cancel(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Cancels a Job (asynchronous).
cancel(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Cancels a Job (asynchronous).
cancel(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Cancels a Job (asynchronous).
CANCEL_REQUESTED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value CancelRequested for JobStatus.
CANCELED - Static variable in class com.azure.resourcemanager.machinelearning.models.AssetProvisioningState: Static value Canceled for AssetProvisioningState.
CANCELED - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Canceled for DeploymentProvisioningState.
CANCELED - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Canceled for EndpointProvisioningState.
CANCELED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Canceled for JobStatus.
CANCELED - Static variable in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProvisioningState: Static value Canceled for MarketplaceSubscriptionProvisioningState.
CANCELED - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Canceled for ProvisioningState.
CANCELED - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningStatus: Static value Canceled for ScheduleProvisioningStatus.
capacity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Get the capacity property: Gets or sets the Sku Capacity.
capacity() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Get the capacity property: If the SKU supports scale out/in then the capacity integer should be included.
capacity() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Get the capacity property: If the SKU supports scale out/in then the capacity integer should be included.
capacity() - Method in interface com.azure.resourcemanager.machinelearning.models.SkuResource: Gets the capacity property: Gets or sets the Sku Capacity.
captureHeaders() - Method in class com.azure.resourcemanager.machinelearning.models.RequestLogging: Get the captureHeaders property: For payload logging, we only collect payload by default.
CASSANDRA - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Cassandra for ConnectionCategory.
CAT_TARGET_ENCODER - Static variable in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Static value CatTargetEncoder for BlockedTransformers.
CATEGORICAL - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureDataType: Static value Categorical for MonitoringFeatureDataType.
CategoricalDataDriftMetric - Class in com.azure.resourcemanager.machinelearning.models: Defines values for CategoricalDataDriftMetric.
CategoricalDataDriftMetric() - Constructor for class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetric: Deprecated.
Use the CategoricalDataDriftMetric.fromString(String) factory method.
CategoricalDataDriftMetricThreshold - Class in com.azure.resourcemanager.machinelearning.models: The CategoricalDataDriftMetricThreshold model.
CategoricalDataDriftMetricThreshold() - Constructor for class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetricThreshold: Creates an instance of CategoricalDataDriftMetricThreshold class.
CategoricalDataQualityMetric - Class in com.azure.resourcemanager.machinelearning.models: Defines values for CategoricalDataQualityMetric.
CategoricalDataQualityMetric() - Constructor for class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetric: Deprecated.
Use the CategoricalDataQualityMetric.fromString(String) factory method.
CategoricalDataQualityMetricThreshold - Class in com.azure.resourcemanager.machinelearning.models: The CategoricalDataQualityMetricThreshold model.
CategoricalDataQualityMetricThreshold() - Constructor for class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetricThreshold: Creates an instance of CategoricalDataQualityMetricThreshold class.
CategoricalPredictionDriftMetric - Class in com.azure.resourcemanager.machinelearning.models: Defines values for CategoricalPredictionDriftMetric.
CategoricalPredictionDriftMetric() - Constructor for class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetric: Deprecated.
Use the CategoricalPredictionDriftMetric.fromString(String) factory method.
CategoricalPredictionDriftMetricThreshold - Class in com.azure.resourcemanager.machinelearning.models: The CategoricalPredictionDriftMetricThreshold model.
CategoricalPredictionDriftMetricThreshold() - Constructor for class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetricThreshold: Creates an instance of CategoricalPredictionDriftMetricThreshold class.
category() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Get the category property: The category property.
category() - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRule: Get the category property: Category of a managed network Outbound Rule of a machine learning workspace.
category() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Get the category property: Category of the connection.
cert() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the cert property: Cert data.
certificate() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreSecrets: Get the certificate property: Service principal certificate.
CERTIFICATE - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value Certificate for CredentialsType.
CERTIFICATE - Static variable in class com.azure.resourcemanager.machinelearning.models.SecretsType: Static value Certificate for SecretsType.
CertificateDatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: Certificate datastore credentials configuration.
CertificateDatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Creates an instance of CertificateDatastoreCredentials class.
CertificateDatastoreSecrets - Class in com.azure.resourcemanager.machinelearning.models: Datastore certificate secrets.
CertificateDatastoreSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreSecrets: Creates an instance of CertificateDatastoreSecrets class.
checkpointFrequency() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the checkpointFrequency property: Frequency to store model checkpoints.
checkpointModel() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the checkpointModel property: The pretrained checkpoint model for incremental training.
checkpointRunId() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the checkpointRunId property: The id of a previous run that has a pretrained checkpoint for incremental training.
Classification - Class in com.azure.resourcemanager.machinelearning.models: Classification task in AutoML Table vertical.
Classification() - Constructor for class com.azure.resourcemanager.machinelearning.models.Classification: Creates an instance of Classification class.
CLASSIFICATION - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelTaskType: Static value Classification for ModelTaskType.
CLASSIFICATION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value Classification for TaskType.
ClassificationModels - Class in com.azure.resourcemanager.machinelearning.models: Enum for all classification models supported by AutoML.
ClassificationModels() - Constructor for class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Deprecated.
Use the ClassificationModels.fromString(String) factory method.
ClassificationMultilabelPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Primary metrics for classification multilabel tasks.
ClassificationMultilabelPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Deprecated.
Use the ClassificationMultilabelPrimaryMetrics.fromString(String) factory method.
ClassificationPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Primary metrics for classification tasks.
ClassificationPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Deprecated.
Use the ClassificationPrimaryMetrics.fromString(String) factory method.
ClassificationTrainingSettings - Class in com.azure.resourcemanager.machinelearning.models: Classification Training related configuration.
ClassificationTrainingSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Creates an instance of ClassificationTrainingSettings class.
className() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobScalaEntry: Get the className property: [Required] Scala class name used as entry point.
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the clientId property: [Required] Service principal client ID.
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.Collection: Get the clientId property: The msi client id used to collect logging to blob storage.
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Get the clientId property: Specifies a user-assigned identity by client ID.
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Get the clientId property: [Required] Service principal client ID.
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.UserAssignedIdentity: Get the clientId property: The client ID of the assigned identity.
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionManagedIdentity: Get the clientId property: The clientId property.
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Get the clientId property: Client id in the format of UUID.
clientId() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionServicePrincipal: Get the clientId property: The clientId property.
clientSecret() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreSecrets: Get the clientSecret property: Service principal secret.
clientSecret() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Get the clientSecret property: The clientSecret property.
clientSecret() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionServicePrincipal: Get the clientSecret property: The clientSecret property.
clusterFqdn() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the clusterFqdn property: Cluster full qualified domain name.
clusterPurpose() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the clusterPurpose property: Intended usage of the cluster.
ClusterPurpose - Class in com.azure.resourcemanager.machinelearning.models: Intended usage of the cluster.
ClusterPurpose() - Constructor for class com.azure.resourcemanager.machinelearning.models.ClusterPurpose: Deprecated.
Use the ClusterPurpose.fromString(String) factory method.
ClusterUpdateParameters - Class in com.azure.resourcemanager.machinelearning.models: AmlCompute update parameters.
ClusterUpdateParameters() - Constructor for class com.azure.resourcemanager.machinelearning.models.ClusterUpdateParameters: Creates an instance of ClusterUpdateParameters class.
ClusterUpdateProperties - Class in com.azure.resourcemanager.machinelearning.fluent.models: The properties of a amlCompute that need to be updated.
ClusterUpdateProperties() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ClusterUpdateProperties: Creates an instance of ClusterUpdateProperties class.
cname() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the cname property: CNAME of the cert.
COCO - Static variable in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Static value Coco for ValidationMetricType.
COCO_VOC - Static variable in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Static value CocoVoc for ValidationMetricType.
code() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResult: Get the code property: Code for workspace setup error.
codeConfiguration() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Get the codeConfiguration property: Code configuration for the endpoint deployment.
CodeConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Configuration for a scoring code asset.
CodeConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Creates an instance of CodeConfiguration class.
CodeContainer - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of CodeContainer.
CodeContainer.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the CodeContainer definition.
CodeContainer.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The CodeContainer definition stages.
CodeContainer.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the CodeContainer definition.
CodeContainer.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeContainer definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
CodeContainer.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeContainer definition allowing to specify parent resource.
CodeContainer.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeContainer definition allowing to specify properties.
CodeContainer.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for CodeContainer update.
CodeContainer.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The CodeContainer update stages.
CodeContainer.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeContainer update allowing to specify properties.
CodeContainerInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
CodeContainerInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerInner: Creates an instance of CodeContainerInner class.
CodeContainerProperties - Class in com.azure.resourcemanager.machinelearning.models: Container for code asset versions.
CodeContainerProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.CodeContainerProperties: Creates an instance of CodeContainerProperties class.
CodeContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of CodeContainer entities.
CodeContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Creates an instance of CodeContainerResourceArmPaginatedResult class.
codeContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of CodeContainers.
CodeContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of CodeContainers.
CodeContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in CodeContainersClient.
codeId() - Method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Get the codeId property: ARM resource ID of the code asset.
codeId() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the codeId property: ARM resource ID of the code asset.
codeId() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the codeId property: [Required] arm-id of the code asset.
codeId() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the codeId property: ARM resource ID of the code asset.
codeUri() - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties: Get the codeUri property: Uri where code is located.
CodeVersion - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of CodeVersion.
CodeVersion.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the CodeVersion definition.
CodeVersion.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The CodeVersion definition stages.
CodeVersion.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the CodeVersion definition.
CodeVersion.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeVersion definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
CodeVersion.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeVersion definition allowing to specify parent resource.
CodeVersion.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeVersion definition allowing to specify properties.
CodeVersion.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for CodeVersion update.
CodeVersion.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The CodeVersion update stages.
CodeVersion.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the CodeVersion update allowing to specify properties.
CodeVersionInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
CodeVersionInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionInner: Creates an instance of CodeVersionInner class.
CodeVersionProperties - Class in com.azure.resourcemanager.machinelearning.models: Code asset version details.
CodeVersionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties: Creates an instance of CodeVersionProperties class.
CodeVersionResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of CodeVersion entities.
CodeVersionResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Creates an instance of CodeVersionResourceArmPaginatedResult class.
codeVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of CodeVersions.
CodeVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of CodeVersions.
CodeVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in CodeVersionsClient.
COGNITIVE_SEARCH - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value CognitiveSearch for ConnectionCategory.
COGNITIVE_SERVICE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value CognitiveService for ConnectionCategory.
Collection - Class in com.azure.resourcemanager.machinelearning.models: The Collection model.
Collection() - Constructor for class com.azure.resourcemanager.machinelearning.models.Collection: Creates an instance of Collection class.
collections() - Method in class com.azure.resourcemanager.machinelearning.models.DataCollector: Get the collections property: [Required] The collection configuration.
collectionsThroughput() - Method in class com.azure.resourcemanager.machinelearning.models.CosmosDbSettings: Get the collectionsThroughput property: The throughput of the collections in cosmosdb database.
columnName() - Method in class com.azure.resourcemanager.machinelearning.models.IndexColumn: Get the columnName property: Specifies the column name.
columnNameAndTypes() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Get the columnNameAndTypes property: Dictionary of column name and its type (int, float, string, datetime etc).
columns() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Get the columns property: Mapping of column names to special uses.
ColumnTransformer - Class in com.azure.resourcemanager.machinelearning.models: Column transformer parameters.
ColumnTransformer() - Constructor for class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Creates an instance of ColumnTransformer class.
com.azure.resourcemanager.machinelearning - package com.azure.resourcemanager.machinelearning: Package containing the classes for AzureMachineLearningWorkspaces.
com.azure.resourcemanager.machinelearning.fluent - package com.azure.resourcemanager.machinelearning.fluent: Package containing the service clients for AzureMachineLearningWorkspaces.
com.azure.resourcemanager.machinelearning.fluent.models - package com.azure.resourcemanager.machinelearning.fluent.models: Package containing the inner data models for AzureMachineLearningWorkspaces.
com.azure.resourcemanager.machinelearning.models - package com.azure.resourcemanager.machinelearning.models: Package containing the data models for AzureMachineLearningWorkspaces.
command() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the command property: [Required] The command to execute on startup of the job.
command() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the command property: [Required] The command to execute on startup of the job.
COMMAND - Static variable in class com.azure.resourcemanager.machinelearning.models.JobLimitsType: Static value Command for JobLimitsType.
COMMAND - Static variable in class com.azure.resourcemanager.machinelearning.models.JobType: Static value Command for JobType.
CommandJob - Class in com.azure.resourcemanager.machinelearning.models: Command job definition.
CommandJob() - Constructor for class com.azure.resourcemanager.machinelearning.models.CommandJob: Creates an instance of CommandJob class.
CommandJobLimits - Class in com.azure.resourcemanager.machinelearning.models: Command Job limit class.
CommandJobLimits() - Constructor for class com.azure.resourcemanager.machinelearning.models.CommandJobLimits: Creates an instance of CommandJobLimits class.
COMPLETE - Static variable in class com.azure.resourcemanager.machinelearning.models.DataAvailabilityStatus: Static value Complete for DataAvailabilityStatus.
COMPLETED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Completed for JobStatus.
COMPLETED - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus: Static value Completed for ProvisioningStatus.
COMPLETED - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningState: Static value Completed for ScheduleProvisioningState.
ComponentContainer - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ComponentContainer.
ComponentContainer.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the ComponentContainer definition.
ComponentContainer.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComponentContainer definition stages.
ComponentContainer.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the ComponentContainer definition.
ComponentContainer.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentContainer definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
ComponentContainer.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentContainer definition allowing to specify parent resource.
ComponentContainer.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentContainer definition allowing to specify properties.
ComponentContainer.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for ComponentContainer update.
ComponentContainer.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComponentContainer update stages.
ComponentContainer.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentContainer update allowing to specify properties.
ComponentContainerInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
ComponentContainerInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerInner: Creates an instance of ComponentContainerInner class.
ComponentContainerProperties - Class in com.azure.resourcemanager.machinelearning.models: Component container definition.
ComponentContainerProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComponentContainerProperties: Creates an instance of ComponentContainerProperties class.
ComponentContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of ComponentContainer entities.
ComponentContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Creates an instance of ComponentContainerResourceArmPaginatedResult class.
componentContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of ComponentContainers.
ComponentContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of ComponentContainers.
ComponentContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ComponentContainersClient.
componentId() - Method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Get the componentId property: The ARM id of the component to be run.
componentId() - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Get the componentId property: [Required] Reference to the component asset used to calculate the custom metrics.
componentId() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Get the componentId property: ARM resource ID of the component resource.
componentSpec() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties: Get the componentSpec property: Defines Component definition details.
ComponentVersion - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ComponentVersion.
ComponentVersion.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the ComponentVersion definition.
ComponentVersion.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComponentVersion definition stages.
ComponentVersion.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the ComponentVersion definition.
ComponentVersion.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentVersion definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
ComponentVersion.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentVersion definition allowing to specify parent resource.
ComponentVersion.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentVersion definition allowing to specify properties.
ComponentVersion.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for ComponentVersion update.
ComponentVersion.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComponentVersion update stages.
ComponentVersion.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComponentVersion update allowing to specify properties.
ComponentVersionInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
ComponentVersionInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionInner: Creates an instance of ComponentVersionInner class.
ComponentVersionProperties - Class in com.azure.resourcemanager.machinelearning.models: Definition of a component version: defines resources that span component types.
ComponentVersionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties: Creates an instance of ComponentVersionProperties class.
ComponentVersionResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of ComponentVersion entities.
ComponentVersionResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Creates an instance of ComponentVersionResourceArmPaginatedResult class.
componentVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of ComponentVersions.
ComponentVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of ComponentVersions.
ComponentVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ComponentVersionsClient.
compute() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the compute property: Compute target for batch inference operation.
compute() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Get the compute property: ARM resource ID of the compute if it exists.
Compute - Class in com.azure.resourcemanager.machinelearning.models: Machine Learning compute object.
Compute() - Constructor for class com.azure.resourcemanager.machinelearning.models.Compute: Creates an instance of Compute class.
COMPUTE_INSTANCE - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value ComputeInstance for ComputeType.
computeConfiguration() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorDefinition: Get the computeConfiguration property: [Required] The ARM resource ID of the compute resource to run the monitoring job on.
computeId() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Get the computeId property: ARM resource ID of the compute resource.
computeIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorServerlessSparkCompute: Get the computeIdentity property: [Required] The identity scheme leveraged to by the spark jobs running on serverless Spark.
computeIdentityType() - Method in class com.azure.resourcemanager.machinelearning.models.AmlTokenComputeIdentity: Get the computeIdentityType property: [Required] Specifies the type of identity to use within the monitoring jobs.
computeIdentityType() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedComputeIdentity: Get the computeIdentityType property: [Required] Specifies the type of identity to use within the monitoring jobs.
computeIdentityType() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeIdentityBase: Get the computeIdentityType property: [Required] Specifies the type of identity to use within the monitoring jobs.
ComputeInstance - Class in com.azure.resourcemanager.machinelearning.models: An Azure Machine Learning compute instance.
ComputeInstance() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Creates an instance of ComputeInstance class.
ComputeInstanceApplication - Class in com.azure.resourcemanager.machinelearning.models: Defines an Aml Instance application and its connectivity endpoint URI.
ComputeInstanceApplication() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Creates an instance of ComputeInstanceApplication class.
computeInstanceAuthorizationType() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the computeInstanceAuthorizationType property: The Compute Instance Authorization type.
ComputeInstanceAuthorizationType - Class in com.azure.resourcemanager.machinelearning.models: Compute Instance Authorization type.
ComputeInstanceAuthorizationType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceAuthorizationType: Deprecated.
Use the ComputeInstanceAuthorizationType.fromString(String) factory method.
ComputeInstanceConnectivityEndpoints - Class in com.azure.resourcemanager.machinelearning.models: Defines all connectivity endpoints and properties for an ComputeInstance.
ComputeInstanceConnectivityEndpoints() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceConnectivityEndpoints: Creates an instance of ComputeInstanceConnectivityEndpoints class.
ComputeInstanceContainer - Class in com.azure.resourcemanager.machinelearning.models: Defines an Aml Instance container.
ComputeInstanceContainer() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Creates an instance of ComputeInstanceContainer class.
ComputeInstanceCreatedBy - Class in com.azure.resourcemanager.machinelearning.models: Describes information on user who created this ComputeInstance.
ComputeInstanceCreatedBy() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy: Creates an instance of ComputeInstanceCreatedBy class.
ComputeInstanceDataDisk - Class in com.azure.resourcemanager.machinelearning.models: Defines an Aml Instance DataDisk.
ComputeInstanceDataDisk() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Creates an instance of ComputeInstanceDataDisk class.
ComputeInstanceDataMount - Class in com.azure.resourcemanager.machinelearning.models: Defines an Aml Instance DataMount.
ComputeInstanceDataMount() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Creates an instance of ComputeInstanceDataMount class.
ComputeInstanceEnvironmentInfo - Class in com.azure.resourcemanager.machinelearning.models: Environment information.
ComputeInstanceEnvironmentInfo() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Creates an instance of ComputeInstanceEnvironmentInfo class.
ComputeInstanceLastOperation - Class in com.azure.resourcemanager.machinelearning.models: The last operation on ComputeInstance.
ComputeInstanceLastOperation() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Creates an instance of ComputeInstanceLastOperation class.
ComputeInstanceProperties - Class in com.azure.resourcemanager.machinelearning.models: Compute Instance properties.
ComputeInstanceProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Creates an instance of ComputeInstanceProperties class.
ComputeInstanceSchema - Class in com.azure.resourcemanager.machinelearning.models: Properties(top level) of ComputeInstance.
ComputeInstanceSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSchema: Creates an instance of ComputeInstanceSchema class.
ComputeInstanceSshSettings - Class in com.azure.resourcemanager.machinelearning.models: Specifies policy and settings for SSH access.
ComputeInstanceSshSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Creates an instance of ComputeInstanceSshSettings class.
ComputeInstanceState - Class in com.azure.resourcemanager.machinelearning.models: Current state of an ComputeInstance.
ComputeInstanceState() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Deprecated.
Use the ComputeInstanceState.fromString(String) factory method.
ComputeInstanceVersion - Class in com.azure.resourcemanager.machinelearning.models: Version of computeInstance.
ComputeInstanceVersion() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeInstanceVersion: Creates an instance of ComputeInstanceVersion class.
computeLocation() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the computeLocation property: Location for the underlying compute.
ComputePowerAction - Class in com.azure.resourcemanager.machinelearning.models: The compute power action.
ComputePowerAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputePowerAction: Deprecated.
Use the ComputePowerAction.fromString(String) factory method.
ComputeRecurrenceFrequency - Class in com.azure.resourcemanager.machinelearning.models: Enum to describe the frequency of a compute recurrence schedule.
ComputeRecurrenceFrequency() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceFrequency: Deprecated.
Use the ComputeRecurrenceFrequency.fromString(String) factory method.
ComputeRecurrenceSchedule - Class in com.azure.resourcemanager.machinelearning.models: The ComputeRecurrenceSchedule model.
ComputeRecurrenceSchedule() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule: Creates an instance of ComputeRecurrenceSchedule class.
ComputeResource - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ComputeResource.
ComputeResource.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the ComputeResource definition.
ComputeResource.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComputeResource definition stages.
ComputeResource.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the ComputeResource definition.
ComputeResource.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
ComputeResource.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify identity.
ComputeResource.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify location.
ComputeResource.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify parent resource.
ComputeResource.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify properties.
ComputeResource.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify sku.
ComputeResource.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource definition allowing to specify tags.
ComputeResource.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for ComputeResource update.
ComputeResource.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The ComputeResource update stages.
ComputeResource.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ComputeResource update allowing to specify properties.
ComputeResourceInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Machine Learning compute object wrapped into ARM resource envelope.
ComputeResourceInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Creates an instance of ComputeResourceInner class.
ComputeResourceSchema - Class in com.azure.resourcemanager.machinelearning.models: The ComputeResourceSchema model.
ComputeResourceSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeResourceSchema: Creates an instance of ComputeResourceSchema class.
computeRuntime() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureStoreSettings: Get the computeRuntime property: Compute runtime config for feature store type workspace.
ComputeRuntimeDto - Class in com.azure.resourcemanager.machinelearning.models: Compute runtime config for feature store type workspace.
ComputeRuntimeDto() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeRuntimeDto: Creates an instance of ComputeRuntimeDto class.
computes() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Computes.
Computes - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Computes.
ComputeSchedules - Class in com.azure.resourcemanager.machinelearning.models: The list of schedules to be applied on the computes.
ComputeSchedules() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeSchedules: Creates an instance of ComputeSchedules class.
ComputesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ComputesClient.
ComputeSecrets - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ComputeSecrets.
ComputeSecretsInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Secrets related to a Machine Learning compute.
ComputeSecretsInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ComputeSecretsInner: Creates an instance of ComputeSecretsInner class.
computeStartStop() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeSchedules: Get the computeStartStop property: The list of compute start stop schedules to be applied.
ComputeStartStopSchedule - Class in com.azure.resourcemanager.machinelearning.models: Compute start stop schedule properties.
ComputeStartStopSchedule() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Creates an instance of ComputeStartStopSchedule class.
ComputeTriggerType - Class in com.azure.resourcemanager.machinelearning.models: Is the trigger type recurrence or cron.
ComputeTriggerType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeTriggerType: Deprecated.
Use the ComputeTriggerType.fromString(String) factory method.
computeType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeSecretsInner: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Get the computeType property: The type of compute.
computeType() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeSecrets: Gets the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecrets: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeConfigurationBase: Get the computeType property: [Required] Specifies the type of signal to monitor.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorServerlessSparkCompute: Get the computeType property: [Required] Specifies the type of signal to monitor.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Get the computeType property: The type of compute.
computeType() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecrets: Get the computeType property: The type of compute.
ComputeType - Class in com.azure.resourcemanager.machinelearning.models: The type of compute.
ComputeType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeType: Deprecated.
Use the ComputeType.fromString(String) factory method.
ComputeWeekDay - Class in com.azure.resourcemanager.machinelearning.models: Enum of weekday.
ComputeWeekDay() - Constructor for class com.azure.resourcemanager.machinelearning.models.ComputeWeekDay: Deprecated.
Use the ComputeWeekDay.fromString(String) factory method.
CONCUR - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Concur for ConnectionCategory.
condaFile() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Get the condaFile property: Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
conf() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the conf property: Spark configured properties.
configure() - Static method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets a Configurable instance that can be used to create MachineLearningManager with optional configuration.
ConnectionAuthType - Class in com.azure.resourcemanager.machinelearning.models: Authentication type of the connection target.
ConnectionAuthType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Deprecated.
Use the ConnectionAuthType.fromString(String) factory method.
ConnectionCategory - Class in com.azure.resourcemanager.machinelearning.models: Category of the connection.
ConnectionCategory() - Constructor for class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Deprecated.
Use the ConnectionCategory.fromString(String) factory method.
ConnectionGroup - Class in com.azure.resourcemanager.machinelearning.models: Group based on connection category.
ConnectionGroup() - Constructor for class com.azure.resourcemanager.machinelearning.models.ConnectionGroup: Deprecated.
Use the ConnectionGroup.fromString(String) factory method.
connectivityEndpoints() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the connectivityEndpoints property: Describes all connectivity endpoints available for this ComputeInstance.
consistency() - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Get the consistency property: Consistency of the volume.
CONTAINER_REGISTRY - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value ContainerRegistry for ConnectionCategory.
containerName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the containerName property: Storage account container name.
containerRegistry() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistry() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistry() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistry() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the containerRegistry property: Setting for diagnosing dependent container registry.
containerRegistry() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistry() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistry() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistry() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the containerRegistry property: ARM id of the container registry associated with this workspace.
containerRegistryCredentials() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Get the containerRegistryCredentials property: The containerRegistryCredentials property.
containerRegistryCredentials() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the containerRegistryCredentials property: The containerRegistryCredentials property.
containerRegistryResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the containerRegistryResults property: The containerRegistryResults property.
containerResourceLimits() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Get the containerResourceLimits property: Container resource limit info:.
containerResourceRequests() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Get the containerResourceRequests property: Container resource request info:.
containerResourceRequirements() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Get the containerResourceRequirements property: The resource requirements for the container (cpu and memory).
ContainerResourceRequirements - Class in com.azure.resourcemanager.machinelearning.models: Resource requirements for each container instance within an online deployment.
ContainerResourceRequirements() - Constructor for class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Creates an instance of ContainerResourceRequirements class.
ContainerResourceSettings - Class in com.azure.resourcemanager.machinelearning.models: The ContainerResourceSettings model.
ContainerResourceSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Creates an instance of ContainerResourceSettings class.
containers() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the containers property: Describes informations of containers on this ComputeInstance.
containerType() - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Get the containerType property: The type of container to retrieve logs from.
ContainerType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ContainerType.
ContainerType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ContainerType: Deprecated.
Use the ContainerType.fromString(String) factory method.
content() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner: Get the content property: The retrieved online deployment logs.
content() - Method in interface com.azure.resourcemanager.machinelearning.models.DeploymentLogs: Gets the content property: The retrieved online deployment logs.
contentSafety() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Get the contentSafety property: Specifies the content safety options.
ContentSafety - Class in com.azure.resourcemanager.machinelearning.models: The ContentSafety model.
ContentSafety() - Constructor for class com.azure.resourcemanager.machinelearning.models.ContentSafety: Creates an instance of ContentSafety class.
contentSafetyStatus() - Method in class com.azure.resourcemanager.machinelearning.models.ContentSafety: Get the contentSafetyStatus property: [Required] Specifies the status of content safety.
ContentSafetyStatus - Class in com.azure.resourcemanager.machinelearning.models: Specifies the status of content safety.
ContentSafetyStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.ContentSafetyStatus: Deprecated.
Use the ContentSafetyStatus.fromString(String) factory method.
contextUri() - Method in class com.azure.resourcemanager.machinelearning.models.BuildContext: Get the contextUri property: [Required] URI of the Docker build context used to build the image.
COSMOS_DB - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value CosmosDb for ConnectionCategory.
COSMOS_DB_MONGO_DB_API - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value CosmosDbMongoDbApi for ConnectionCategory.
cosmosDb() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceManagedResourcesSettings: Get the cosmosDb property: The settings for the service managed cosmosdb account.
CosmosDbSettings - Class in com.azure.resourcemanager.machinelearning.models: The CosmosDbSettings model.
CosmosDbSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.CosmosDbSettings: Creates an instance of CosmosDbSettings class.
COUCHBASE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Couchbase for ConnectionCategory.
COUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.QuotaUnit: Static value Count for QuotaUnit.
COUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.UsageUnit: Static value Count for UsageUnit.
COUNT_VECTORIZER - Static variable in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Static value CountVectorizer for BlockedTransformers.
countryOrRegionForHolidays() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the countryOrRegionForHolidays property: Country or region for holidays for forecasting tasks.
cpu() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Get the cpu property: Number of vCPUs request/limit for container.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithCreate: Executes the create request.
create() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithCreate: Executes the create request.
create(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource.DefinitionStages.WithCreate: Executes the create request.
create(String, String, String, WorkspaceConnectionPropertiesV2BasicResourceInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: The create operation.
CREATE - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Create for OperationName.
CREATE_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value CreateFailed for ComputeInstanceState.
CREATE_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value CreateFailed for OperationStatus.
CREATE_JOB - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleActionType: Static value CreateJob for ScheduleActionType.
CREATE_MONITOR - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleActionType: Static value CreateMonitor for ScheduleActionType.
CREATED_AT_ASC - Static variable in class com.azure.resourcemanager.machinelearning.models.OrderString: Static value CreatedAtAsc for OrderString.
CREATED_AT_DESC - Static variable in class com.azure.resourcemanager.machinelearning.models.OrderString: Static value CreatedAtDesc for OrderString.
createdBy() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the createdBy property: who this data mount created by.
createdBy() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the createdBy property: Describes information on user who created this ComputeInstance.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdByWorkspaceArmId() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Get the createdByWorkspaceArmId property: The createdByWorkspaceArmId property.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Get the createdOn property: The time at which the compute was created.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Get the createdOn property: The time at which the compute was created.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the createdOn property: The time at which the compute was created.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Get the createdOn property: The time at which the compute was created.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Get the createdOn property: The time at which the compute was created.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Get the createdOn property: The time at which the compute was created.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Get the createdOn property: The time at which the compute was created.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Get the createdOn property: The time at which the compute was created.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Get the createdOn property: The time at which the compute was created.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Get the createdOn property: The time at which the compute was created.
createdOn() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Get the createdOn property: The time at which the compute was created.
createHostPath() - Method in class com.azure.resourcemanager.machinelearning.models.BindOptions: Get the createHostPath property: Indicate whether to create host path.
CreateMonitorAction - Class in com.azure.resourcemanager.machinelearning.models: The CreateMonitorAction model.
CreateMonitorAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.CreateMonitorAction: Creates an instance of CreateMonitorAction class.
createOrGetStartPendingUpload(PendingUploadRequestDto) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Generate a storage location and credential for the client to upload a code asset to.
createOrGetStartPendingUpload(String, String, String, String, PendingUploadRequestDto) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Generate a storage location and credential for the client to upload a code asset to.
createOrGetStartPendingUpload(String, String, String, String, PendingUploadRequestDto) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Generate a storage location and credential for the client to upload a code asset to.
createOrGetStartPendingUpload(String, String, String, String, PendingUploadRequestDto) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Generate a storage location and credential for the client to upload a data asset to.
createOrGetStartPendingUpload(String, String, String, String, PendingUploadRequestDto) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Generate a storage location and credential for the client to upload a model asset to.
createOrGetStartPendingUpload(String, String, String, String, PendingUploadRequestDto) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Generate a storage location and credential for the client to upload a code asset to.
createOrGetStartPendingUpload(String, String, String, String, PendingUploadRequestDto) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeVersions: Generate a storage location and credential for the client to upload a code asset to.
createOrGetStartPendingUpload(String, String, String, String, PendingUploadRequestDto) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataVersions: Generate a storage location and credential for the client to upload a data asset to.
createOrGetStartPendingUpload(String, String, String, String, PendingUploadRequestDto) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelVersions: Generate a storage location and credential for the client to upload a model asset to.
createOrGetStartPendingUploadWithResponse(PendingUploadRequestDto, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Generate a storage location and credential for the client to upload a code asset to.
createOrGetStartPendingUploadWithResponse(String, String, String, String, PendingUploadRequestDto, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Generate a storage location and credential for the client to upload a code asset to.
createOrGetStartPendingUploadWithResponse(String, String, String, String, PendingUploadRequestDto, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Generate a storage location and credential for the client to upload a code asset to.
createOrGetStartPendingUploadWithResponse(String, String, String, String, PendingUploadRequestDto, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Generate a storage location and credential for the client to upload a data asset to.
createOrGetStartPendingUploadWithResponse(String, String, String, String, PendingUploadRequestDto, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Generate a storage location and credential for the client to upload a model asset to.
createOrGetStartPendingUploadWithResponse(String, String, String, String, PendingUploadRequestDto, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Generate a storage location and credential for the client to upload a code asset to.
createOrGetStartPendingUploadWithResponse(String, String, String, String, PendingUploadRequestDto, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeVersions: Generate a storage location and credential for the client to upload a code asset to.
createOrGetStartPendingUploadWithResponse(String, String, String, String, PendingUploadRequestDto, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataVersions: Generate a storage location and credential for the client to upload a data asset to.
createOrGetStartPendingUploadWithResponse(String, String, String, String, PendingUploadRequestDto, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelVersions: Generate a storage location and credential for the client to upload a model asset to.
createOrUpdate(String, String, RegistryInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Create or update registry.
createOrUpdate(String, String, RegistryInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Create or update registry.
createOrUpdate(String, String, WorkspaceInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Creates or updates a workspace with the specified parameters.
createOrUpdate(String, String, WorkspaceInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Creates or updates a workspace with the specified parameters.
createOrUpdate(String, String, String, BatchEndpointInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Creates a batch inference endpoint (asynchronous).
createOrUpdate(String, String, String, BatchEndpointInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Creates a batch inference endpoint (asynchronous).
createOrUpdate(String, String, String, CodeContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Create or update container.
createOrUpdate(String, String, String, CodeContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: Create or update Code container.
createOrUpdate(String, String, String, CodeContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeContainers: Create or update Code container.
createOrUpdate(String, String, String, CodeContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: Create or update Code container.
createOrUpdate(String, String, String, CodeContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeContainers: Create or update Code container.
createOrUpdate(String, String, String, ComponentContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Create or update container.
createOrUpdate(String, String, String, ComponentContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: Create or update container.
createOrUpdate(String, String, String, ComponentContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentContainers: Create or update container.
createOrUpdate(String, String, String, ComponentContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: Create or update container.
createOrUpdate(String, String, String, ComponentContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentContainers: Create or update container.
createOrUpdate(String, String, String, ComputeResourceInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Creates or updates compute.
createOrUpdate(String, String, String, ComputeResourceInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Creates or updates compute.
createOrUpdate(String, String, String, DataContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Create or update container.
createOrUpdate(String, String, String, DataContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: Create or update container.
createOrUpdate(String, String, String, DataContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataContainers: Create or update container.
createOrUpdate(String, String, String, DataContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: Create or update container.
createOrUpdate(String, String, String, DataContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataContainers: Create or update container.
createOrUpdate(String, String, String, DatastoreInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Create or update datastore.
createOrUpdate(String, String, String, EnvironmentContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Create or update container.
createOrUpdate(String, String, String, EnvironmentContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: Create or update container.
createOrUpdate(String, String, String, EnvironmentContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentContainers: Create or update container.
createOrUpdate(String, String, String, EnvironmentContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: Create or update container.
createOrUpdate(String, String, String, EnvironmentContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentContainers: Create or update container.
createOrUpdate(String, String, String, FeaturesetContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: Create or update container.
createOrUpdate(String, String, String, FeaturesetContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: Create or update container.
createOrUpdate(String, String, String, FeaturestoreEntityContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: Create or update container.
createOrUpdate(String, String, String, FeaturestoreEntityContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: Create or update container.
createOrUpdate(String, String, String, JobBaseInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Creates and executes a Job.
createOrUpdate(String, String, String, MarketplaceSubscriptionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: Create or update Marketplace Subscription (asynchronous).
createOrUpdate(String, String, String, MarketplaceSubscriptionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: Create or update Marketplace Subscription (asynchronous).
createOrUpdate(String, String, String, ModelContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Create or update container.
createOrUpdate(String, String, String, ModelContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: Create or update model container.
createOrUpdate(String, String, String, ModelContainerInner) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelContainers: Create or update model container.
createOrUpdate(String, String, String, ModelContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: Create or update model container.
createOrUpdate(String, String, String, ModelContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelContainers: Create or update model container.
createOrUpdate(String, String, String, OnlineEndpointInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Create or update Online Endpoint (asynchronous).
createOrUpdate(String, String, String, OnlineEndpointInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Create or update Online Endpoint (asynchronous).
createOrUpdate(String, String, String, OutboundRuleBasicResourceInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Creates or updates an outbound rule in the managed network of a machine learning workspace.
createOrUpdate(String, String, String, OutboundRuleBasicResourceInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Creates or updates an outbound rule in the managed network of a machine learning workspace.
createOrUpdate(String, String, String, PrivateEndpointConnectionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Update the state of specified private endpoint connection associated with the workspace.
createOrUpdate(String, String, String, ScheduleInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: Create or update schedule.
createOrUpdate(String, String, String, ScheduleInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: Create or update schedule.
createOrUpdate(String, String, String, ServerlessEndpointInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Create or update Serverless Endpoint (asynchronous).
createOrUpdate(String, String, String, ServerlessEndpointInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Create or update Serverless Endpoint (asynchronous).
createOrUpdate(String, String, String, String, BatchDeploymentInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Creates/updates a batch inference deployment (asynchronous).
createOrUpdate(String, String, String, String, BatchDeploymentInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Creates/updates a batch inference deployment (asynchronous).
createOrUpdate(String, String, String, String, CodeVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, CodeVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, CodeVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeVersions: Create or update version.
createOrUpdate(String, String, String, String, CodeVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, CodeVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeVersions: Create or update version.
createOrUpdate(String, String, String, String, ComponentVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, ComponentVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, ComponentVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentVersions: Create or update version.
createOrUpdate(String, String, String, String, ComponentVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, ComponentVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentVersions: Create or update version.
createOrUpdate(String, String, String, String, DataVersionBaseInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, DataVersionBaseInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, DataVersionBaseInner) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataVersions: Create or update version.
createOrUpdate(String, String, String, String, DataVersionBaseInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, DataVersionBaseInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataVersions: Create or update version.
createOrUpdate(String, String, String, String, EnvironmentVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Creates or updates an EnvironmentVersion.
createOrUpdate(String, String, String, String, EnvironmentVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, EnvironmentVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentVersions: Create or update version.
createOrUpdate(String, String, String, String, EnvironmentVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, EnvironmentVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentVersions: Create or update version.
createOrUpdate(String, String, String, String, FeaturesetVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, FeaturesetVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, FeaturestoreEntityVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, FeaturestoreEntityVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, ModelVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, ModelVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, ModelVersionInner) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelVersions: Create or update version.
createOrUpdate(String, String, String, String, ModelVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Create or update version.
createOrUpdate(String, String, String, String, ModelVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelVersions: Create or update version.
createOrUpdate(String, String, String, String, OnlineDeploymentInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Create or update Inference Endpoint Deployment (asynchronous).
createOrUpdate(String, String, String, String, OnlineDeploymentInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Create or update Inference Endpoint Deployment (asynchronous).
createOrUpdateWithResponse(String, String, String, CodeContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Create or update container.
createOrUpdateWithResponse(String, String, String, ComponentContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Create or update container.
createOrUpdateWithResponse(String, String, String, DataContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Create or update container.
createOrUpdateWithResponse(String, String, String, DatastoreInner, Boolean, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Create or update datastore.
createOrUpdateWithResponse(String, String, String, EnvironmentContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Create or update container.
createOrUpdateWithResponse(String, String, String, JobBaseInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Creates and executes a Job.
createOrUpdateWithResponse(String, String, String, ModelContainerInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Create or update container.
createOrUpdateWithResponse(String, String, String, PrivateEndpointConnectionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Update the state of specified private endpoint connection associated with the workspace.
createOrUpdateWithResponse(String, String, String, String, CodeVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Create or update version.
createOrUpdateWithResponse(String, String, String, String, ComponentVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Create or update version.
createOrUpdateWithResponse(String, String, String, String, DataVersionBaseInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Create or update version.
createOrUpdateWithResponse(String, String, String, String, EnvironmentVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Creates or updates an EnvironmentVersion.
createOrUpdateWithResponse(String, String, String, String, ModelVersionInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Create or update version.
createWithResponse(String, String, String, WorkspaceConnectionPropertiesV2BasicResourceInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: The create operation.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.AssetProvisioningState: Static value Creating for AssetProvisioningState.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Creating for ComputeInstanceState.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Creating for DeploymentProvisioningState.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Creating for EndpointProvisioningState.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProvisioningState: Static value Creating for MarketplaceSubscriptionProvisioningState.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Static value Creating for PrivateEndpointConnectionProvisioningState.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Creating for ProvisioningState.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningStatus: Static value Creating for ScheduleProvisioningStatus.
CREATING - Static variable in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Static value Creating for ServerlessEndpointState.
CREATION_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Static value CreationFailed for ServerlessEndpointState.
creationScript() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Get the creationScript property: Script that's run only once during provision of the compute.
credential() - Method in class com.azure.resourcemanager.machinelearning.models.BlobReferenceForConsumptionDto: Get the credential property: Credential info to access storage account.
credential() - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceForConsumptionDto: Get the credential property: Credential info to access storage account.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Get the credentials property: The credentials property.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Get the credentials property: The credentials property.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Get the credentials property: Api key object for workspace connection credential.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Get the credentials property: Custom Keys credential object.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreProperties: Get the credentials property: [Required] Account credentials.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Get the credentials property: The credentials property.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Get the credentials property: ClientId and ClientSecret are required.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Get the credentials property: The credentials property.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Get the credentials property: The credentials property.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Get the credentials property: The credentials property.
credentials() - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Get the credentials property: The credentials property.
credentialsType() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreCredentials: Get the credentialsType property: [Required] Credential type used to authentication with storage.
credentialsType() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the credentialsType property: [Required] Credential type used to authentication with storage.
credentialsType() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreCredentials: Get the credentialsType property: [Required] Credential type used to authentication with storage.
credentialsType() - Method in class com.azure.resourcemanager.machinelearning.models.NoneDatastoreCredentials: Get the credentialsType property: [Required] Credential type used to authentication with storage.
credentialsType() - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreCredentials: Get the credentialsType property: [Required] Credential type used to authentication with storage.
credentialsType() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Get the credentialsType property: [Required] Credential type used to authentication with storage.
CredentialsType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the datastore credentials type.
CredentialsType() - Constructor for class com.azure.resourcemanager.machinelearning.models.CredentialsType: Deprecated.
Use the CredentialsType.fromString(String) factory method.
credentialType() - Method in class com.azure.resourcemanager.machinelearning.models.AnonymousAccessCredential: Get the credentialType property: [Required] Credential type used to authentication with storage.
credentialType() - Method in class com.azure.resourcemanager.machinelearning.models.DataReferenceCredential: Get the credentialType property: [Required] Credential type used to authentication with storage.
credentialType() - Method in class com.azure.resourcemanager.machinelearning.models.DockerCredential: Get the credentialType property: [Required] Credential type used to authentication with storage.
credentialType() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Get the credentialType property: [Required] Credential type used to authentication with storage.
credentialType() - Method in class com.azure.resourcemanager.machinelearning.models.PendingUploadCredentialDto: Get the credentialType property: [Required] Credential type used to authentication with storage.
credentialType() - Method in class com.azure.resourcemanager.machinelearning.models.SasCredential: Get the credentialType property: [Required] Credential type used to authentication with storage.
credentialType() - Method in class com.azure.resourcemanager.machinelearning.models.SasCredentialDto: Get the credentialType property: [Required] Credential type used to authentication with storage.
CRITICAL - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value Critical for LogVerbosity.
cron() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the cron property: Required if triggerType is Cron.
Cron - Class in com.azure.resourcemanager.machinelearning.models: The workflow trigger cron for ComputeStartStop schedule type.
Cron() - Constructor for class com.azure.resourcemanager.machinelearning.models.Cron: Creates an instance of Cron class.
CRON - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeTriggerType: Static value Cron for ComputeTriggerType.
CRON - Static variable in class com.azure.resourcemanager.machinelearning.models.TriggerType: Static value Cron for TriggerType.
CronTrigger - Class in com.azure.resourcemanager.machinelearning.models: The CronTrigger model.
CronTrigger() - Constructor for class com.azure.resourcemanager.machinelearning.models.CronTrigger: Creates an instance of CronTrigger class.
CURATED - Static variable in class com.azure.resourcemanager.machinelearning.models.EnvironmentType: Static value Curated for EnvironmentType.
currentImageVersion() - Method in class com.azure.resourcemanager.machinelearning.models.ImageMetadata: Get the currentImageVersion property: Specifies the current operating system image version this compute instance is running on.
currentNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the currentNodeCount property: The number of compute nodes currently assigned to the compute.
currentValue() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the currentValue property: The current usage of the resource.
currentValue() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the currentValue property: The current usage of the resource.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.FeaturizationMode: Static value Custom for FeaturizationMode.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastHorizonMode: Static value Custom for ForecastHorizonMode.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalType: Static value Custom for MonitoringSignalType.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.NCrossValidationsMode: Static value Custom for NCrossValidationsMode.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.SeasonalityMode: Static value Custom for SeasonalityMode.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetLagsMode: Static value Custom for TargetLagsMode.
CUSTOM - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSizeMode: Static value Custom for TargetRollingWindowSizeMode.
CUSTOM_KEYS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value CustomKeys for ConnectionAuthType.
CUSTOM_KEYS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value CustomKeys for ConnectionCategory.
CUSTOM_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value custom_model for JobInputType.
CUSTOM_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value custom_model for JobOutputType.
CustomForecastHorizon - Class in com.azure.resourcemanager.machinelearning.models: The desired maximum forecast horizon in units of time-series frequency.
CustomForecastHorizon() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomForecastHorizon: Creates an instance of CustomForecastHorizon class.
CustomKeys - Class in com.azure.resourcemanager.machinelearning.models: Custom Keys credential object.
CustomKeys() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomKeys: Creates an instance of CustomKeys class.
CustomKeysWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: Category:= CustomKeys AuthType:= CustomKeys (as type discriminator) Credentials:= {CustomKeys} as Microsoft.MachineLearning.AccountRP.Contracts.WorkspaceConnection.CustomKeys Target:= {any value} Use Metadata property bag for ApiVersion and other metadata fields.
CustomKeysWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Creates an instance of CustomKeysWorkspaceConnectionProperties class.
CustomMetricThreshold - Class in com.azure.resourcemanager.machinelearning.models: The CustomMetricThreshold model.
CustomMetricThreshold() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomMetricThreshold: Creates an instance of CustomMetricThreshold class.
CustomModelJobInput - Class in com.azure.resourcemanager.machinelearning.models: The CustomModelJobInput model.
CustomModelJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Creates an instance of CustomModelJobInput class.
CustomModelJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The CustomModelJobOutput model.
CustomModelJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Creates an instance of CustomModelJobOutput class.
CustomMonitoringSignal - Class in com.azure.resourcemanager.machinelearning.models: The CustomMonitoringSignal model.
CustomMonitoringSignal() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Creates an instance of CustomMonitoringSignal class.
CustomNCrossValidations - Class in com.azure.resourcemanager.machinelearning.models: N-Cross validations are specified by user.
CustomNCrossValidations() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomNCrossValidations: Creates an instance of CustomNCrossValidations class.
CustomSeasonality - Class in com.azure.resourcemanager.machinelearning.models: The CustomSeasonality model.
CustomSeasonality() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomSeasonality: Creates an instance of CustomSeasonality class.
CustomService - Class in com.azure.resourcemanager.machinelearning.models: Specifies the custom service configuration.
CustomService() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomService: Creates an instance of CustomService class.
customServices() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the customServices property: List of Custom Services added to the compute.
CustomTargetLags - Class in com.azure.resourcemanager.machinelearning.models: The CustomTargetLags model.
CustomTargetLags() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomTargetLags: Creates an instance of CustomTargetLags class.
CustomTargetRollingWindowSize - Class in com.azure.resourcemanager.machinelearning.models: The CustomTargetRollingWindowSize model.
CustomTargetRollingWindowSize() - Constructor for class com.azure.resourcemanager.machinelearning.models.CustomTargetRollingWindowSize: Creates an instance of CustomTargetRollingWindowSize class.
cvSplitColumnNames() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the cvSplitColumnNames property: Columns to use for CVSplit data.
cvSplitColumnNames() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the cvSplitColumnNames property: Columns to use for CVSplit data.
cvSplitColumnNames() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the cvSplitColumnNames property: Columns to use for CVSplit data.
cvSplitColumnNames() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the cvSplitColumnNames property: Columns to use for CVSplit data.
cvStepSize() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the cvStepSize property: Number of periods between the origin time of one CV fold and the next fold.

D

data() - Method in class com.azure.resourcemanager.machinelearning.models.FlavorData: Get the data property: Model flavor-specific data.
DATA_DRIFT - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalType: Static value DataDrift for MonitoringSignalType.
DATA_FACTORY - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value DataFactory for ComputeType.
DATA_LAKE_ANALYTICS - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value DataLakeAnalytics for ComputeType.
DATA_PATH - Static variable in class com.azure.resourcemanager.machinelearning.models.ReferenceType: Static value DataPath for ReferenceType.
DATA_QUALITY - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalType: Static value DataQuality for MonitoringSignalType.
DATA_TYPE_ERROR_RATE - Static variable in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetric: Static value DataTypeErrorRate for CategoricalDataQualityMetric.
DATA_TYPE_ERROR_RATE - Static variable in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetric: Static value DataTypeErrorRate for NumericalDataQualityMetric.
dataAvailabilityStatus() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Get the dataAvailabilityStatus property: Specified the data availability status that you want to backfill.
DataAvailabilityStatus - Class in com.azure.resourcemanager.machinelearning.models: Defines values for DataAvailabilityStatus.
DataAvailabilityStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataAvailabilityStatus: Deprecated.
Use the DataAvailabilityStatus.fromString(String) factory method.
DATABASE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionGroup: Static value Database for ConnectionGroup.
Databricks - Class in com.azure.resourcemanager.machinelearning.models: A DataFactory compute.
Databricks() - Constructor for class com.azure.resourcemanager.machinelearning.models.Databricks: Creates an instance of Databricks class.
DATABRICKS - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value Databricks for ComputeType.
databricksAccessToken() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecrets: Get the databricksAccessToken property: access token for databricks account.
databricksAccessToken() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecretsProperties: Get the databricksAccessToken property: access token for databricks account.
databricksAccessToken() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Get the databricksAccessToken property: Databricks access token.
DatabricksComputeSecrets - Class in com.azure.resourcemanager.machinelearning.models: Secrets related to a Machine Learning compute based on Databricks.
DatabricksComputeSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecrets: Creates an instance of DatabricksComputeSecrets class.
DatabricksComputeSecretsProperties - Class in com.azure.resourcemanager.machinelearning.models: Properties of Databricks Compute Secrets.
DatabricksComputeSecretsProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecretsProperties: Creates an instance of DatabricksComputeSecretsProperties class.
DatabricksProperties - Class in com.azure.resourcemanager.machinelearning.models: Properties of Databricks.
DatabricksProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Creates an instance of DatabricksProperties class.
DatabricksSchema - Class in com.azure.resourcemanager.machinelearning.models: The DatabricksSchema model.
DatabricksSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatabricksSchema: Creates an instance of DatabricksSchema class.
dataCollectionMode() - Method in class com.azure.resourcemanager.machinelearning.models.Collection: Get the dataCollectionMode property: Enable or disable data collection.
DataCollectionMode - Class in com.azure.resourcemanager.machinelearning.models: Defines values for DataCollectionMode.
DataCollectionMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataCollectionMode: Deprecated.
Use the DataCollectionMode.fromString(String) factory method.
dataCollector() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the dataCollector property: The mdc configuration, we disable mdc when it's null.
DataCollector - Class in com.azure.resourcemanager.machinelearning.models: The DataCollector model.
DataCollector() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataCollector: Creates an instance of DataCollector class.
DataContainer - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of DataContainer.
DataContainer.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the DataContainer definition.
DataContainer.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The DataContainer definition stages.
DataContainer.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the DataContainer definition.
DataContainer.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataContainer definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
DataContainer.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataContainer definition allowing to specify parent resource.
DataContainer.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataContainer definition allowing to specify properties.
DataContainer.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for DataContainer update.
DataContainer.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The DataContainer update stages.
DataContainer.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataContainer update allowing to specify properties.
DataContainerInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
DataContainerInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerInner: Creates an instance of DataContainerInner class.
DataContainerProperties - Class in com.azure.resourcemanager.machinelearning.models: Container for data asset versions.
DataContainerProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataContainerProperties: Creates an instance of DataContainerProperties class.
DataContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of DataContainer entities.
DataContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Creates an instance of DataContainerResourceArmPaginatedResult class.
dataContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of DataContainers.
DataContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of DataContainers.
DataContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in DataContainersClient.
dataContext() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Get the dataContext property: The context metadata of the data source.
dataDisks() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the dataDisks property: Describes informations of dataDisks on this ComputeInstance.
DataDriftMetricThresholdBase - Class in com.azure.resourcemanager.machinelearning.models: The DataDriftMetricThresholdBase model.
DataDriftMetricThresholdBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataDriftMetricThresholdBase: Creates an instance of DataDriftMetricThresholdBase class.
DataDriftMonitoringSignal - Class in com.azure.resourcemanager.machinelearning.models: The DataDriftMonitoringSignal model.
DataDriftMonitoringSignal() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Creates an instance of DataDriftMonitoringSignal class.
DataFactory - Class in com.azure.resourcemanager.machinelearning.models: A DataFactory compute.
DataFactory() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataFactory: Creates an instance of DataFactory class.
dataId() - Method in class com.azure.resourcemanager.machinelearning.models.Collection: Get the dataId property: The data asset arm resource id.
DataLakeAnalytics - Class in com.azure.resourcemanager.machinelearning.models: A DataLakeAnalytics compute.
DataLakeAnalytics() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Creates an instance of DataLakeAnalytics class.
DataLakeAnalyticsSchema - Class in com.azure.resourcemanager.machinelearning.models: The DataLakeAnalyticsSchema model.
DataLakeAnalyticsSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchema: Creates an instance of DataLakeAnalyticsSchema class.
DataLakeAnalyticsSchemaProperties - Class in com.azure.resourcemanager.machinelearning.models: The DataLakeAnalyticsSchemaProperties model.
DataLakeAnalyticsSchemaProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchemaProperties: Creates an instance of DataLakeAnalyticsSchemaProperties class.
dataLakeStoreAccountName() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchemaProperties: Get the dataLakeStoreAccountName property: DataLake Store Account Name.
dataMounts() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the dataMounts property: Describes informations of dataMounts on this ComputeInstance.
DataPathAssetReference - Class in com.azure.resourcemanager.machinelearning.models: Reference to an asset via its path in a datastore.
DataPathAssetReference() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Creates an instance of DataPathAssetReference class.
DataQualityMetricThresholdBase - Class in com.azure.resourcemanager.machinelearning.models: The DataQualityMetricThresholdBase model.
DataQualityMetricThresholdBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataQualityMetricThresholdBase: Creates an instance of DataQualityMetricThresholdBase class.
DataQualityMonitoringSignal - Class in com.azure.resourcemanager.machinelearning.models: The DataQualityMonitoringSignal model.
DataQualityMonitoringSignal() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Creates an instance of DataQualityMonitoringSignal class.
DataReferenceCredential - Class in com.azure.resourcemanager.machinelearning.models: DataReferenceCredential base class.
DataReferenceCredential() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataReferenceCredential: Creates an instance of DataReferenceCredential class.
DataReferenceCredentialType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the DataReference credentials type.
DataReferenceCredentialType() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataReferenceCredentialType: Deprecated.
Use the DataReferenceCredentialType.fromString(String) factory method.
DATASET - Static variable in class com.azure.resourcemanager.machinelearning.models.SourceType: Static value Dataset for SourceType.
datasetLanguage() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturizationSettings: Get the datasetLanguage property: Dataset language, useful for the text data.
Datastore - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of Datastore.
DATASTORE - Static variable in class com.azure.resourcemanager.machinelearning.models.SourceType: Static value Datastore for SourceType.
Datastore.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the Datastore definition.
Datastore.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The Datastore definition stages.
Datastore.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the Datastore definition.
Datastore.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Datastore definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
Datastore.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Datastore definition allowing to specify parent resource.
Datastore.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Datastore definition allowing to specify properties.
Datastore.DefinitionStages.WithSkipValidation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Datastore definition allowing to specify skipValidation.
Datastore.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for Datastore update.
Datastore.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The Datastore update stages.
Datastore.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Datastore update allowing to specify properties.
Datastore.UpdateStages.WithSkipValidation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Datastore update allowing to specify skipValidation.
DatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: Base definition for datastore credentials.
DatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatastoreCredentials: Creates an instance of DatastoreCredentials class.
datastoreId() - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Get the datastoreId property: ARM resource ID of the datastore where the asset is located.
DatastoreInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
DatastoreInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreInner: Creates an instance of DatastoreInner class.
DatastoreProperties - Class in com.azure.resourcemanager.machinelearning.models: Base definition for datastore contents configuration.
DatastoreProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatastoreProperties: Creates an instance of DatastoreProperties class.
DatastoreResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of Datastore entities.
DatastoreResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Creates an instance of DatastoreResourceArmPaginatedResult class.
datastores() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Datastores.
Datastores - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Datastores.
DatastoresClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in DatastoresClient.
DatastoreSecrets - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of DatastoreSecrets.
DatastoreSecretsInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Base definition for datastore secrets.
DatastoreSecretsInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreSecretsInner: Creates an instance of DatastoreSecretsInner class.
datastoreType() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the datastoreType property: [Required] Storage type backing the datastore.
datastoreType() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Get the datastoreType property: [Required] Storage type backing the datastore.
datastoreType() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the datastoreType property: [Required] Storage type backing the datastore.
datastoreType() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the datastoreType property: [Required] Storage type backing the datastore.
datastoreType() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreProperties: Get the datastoreType property: [Required] Storage type backing the datastore.
datastoreType() - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Get the datastoreType property: [Required] Storage type backing the datastore.
DatastoreType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the datastore contents type.
DatastoreType() - Constructor for class com.azure.resourcemanager.machinelearning.models.DatastoreType: Deprecated.
Use the DatastoreType.fromString(String) factory method.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetricThreshold: Get the dataType property: [Required] Specifies the data type of the metric threshold.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetricThreshold: Get the dataType property: [Required] Specifies the data type of the metric threshold.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetricThreshold: Get the dataType property: [Required] Specifies the data type of the metric threshold.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerProperties: Get the dataType property: [Required] Specifies the type of data.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMetricThresholdBase: Get the dataType property: [Required] Specifies the data type of the metric threshold.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMetricThresholdBase: Get the dataType property: [Required] Specifies the data type of the metric threshold.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties: Get the dataType property: [Required] Specifies the type of data.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureProperties: Get the dataType property: Specifies type.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.IndexColumn: Get the dataType property: Specifies the data type.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Get the dataType property: [Required] Specifies the type of data.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetricThreshold: Get the dataType property: [Required] Specifies the data type of the metric threshold.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetricThreshold: Get the dataType property: [Required] Specifies the data type of the metric threshold.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetricThreshold: Get the dataType property: [Required] Specifies the data type of the metric threshold.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMetricThresholdBase: Get the dataType property: [Required] Specifies the data type of the metric threshold.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Get the dataType property: [Required] Specifies the type of data.
dataType() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Get the dataType property: [Required] Specifies the type of data.
DataType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the type of data.
DataType() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataType: Deprecated.
Use the DataType.fromString(String) factory method.
dataUri() - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties: Get the dataUri property: [Required] Uri of the data.
DataVersionBase - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of DataVersionBase.
DataVersionBase.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the DataVersionBase definition.
DataVersionBase.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The DataVersionBase definition stages.
DataVersionBase.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the DataVersionBase definition.
DataVersionBase.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataVersionBase definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
DataVersionBase.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataVersionBase definition allowing to specify parent resource.
DataVersionBase.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataVersionBase definition allowing to specify properties.
DataVersionBase.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for DataVersionBase update.
DataVersionBase.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The DataVersionBase update stages.
DataVersionBase.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the DataVersionBase update allowing to specify properties.
DataVersionBaseInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
DataVersionBaseInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseInner: Creates an instance of DataVersionBaseInner class.
DataVersionBaseProperties - Class in com.azure.resourcemanager.machinelearning.models: Data version base definition.
DataVersionBaseProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties: Creates an instance of DataVersionBaseProperties class.
DataVersionBaseResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of DataVersionBase entities.
DataVersionBaseResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Creates an instance of DataVersionBaseResourceArmPaginatedResult class.
dataVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of DataVersions.
DataVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of DataVersions.
DataVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in DataVersionsClient.
DATETIME - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureDataType: Static value Datetime for FeatureDataType.
DAY - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceFrequency: Static value Day for ComputeRecurrenceFrequency.
DAY - Static variable in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Static value Day for RecurrenceFrequency.
DAY - Static variable in class com.azure.resourcemanager.machinelearning.models.RollingRateType: Static value Day for RollingRateType.
DB2 - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Db2 for ConnectionCategory.
DEBUG - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel: Static value Debug for BatchLoggingLevel.
DEBUG - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value Debug for LogVerbosity.
DECISION_TREE - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value DecisionTree for ClassificationModels.
DECISION_TREE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value DecisionTree for ForecastingModels.
DECISION_TREE - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value DecisionTree for RegressionModels.
DEDICATED - Static variable in class com.azure.resourcemanager.machinelearning.models.VmPriority: Static value Dedicated for VmPriority.
DEFAULT - Static variable in class com.azure.resourcemanager.machinelearning.models.ScaleType: Static value Default for ScaleType.
defaultInstanceType() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the defaultInstanceType property: Default instance type.
defaultProperty() - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Get the defaultProperty property: Gets or sets the default capacity.
defaults() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Get the defaults property: Default values for Batch Endpoint.
DefaultScaleSettings - Class in com.azure.resourcemanager.machinelearning.models: The DefaultScaleSettings model.
DefaultScaleSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.DefaultScaleSettings: Creates an instance of DefaultScaleSettings class.
defaultWorkspaceResourceGroup() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceHubConfig: Get the defaultWorkspaceResourceGroup property: The defaultWorkspaceResourceGroup property.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Begins definition for a new BatchDeployment resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Begins definition for a new BatchEndpoint resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Begins definition for a new CodeContainer resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Begins definition for a new CodeVersion resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Begins definition for a new ComponentContainer resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Begins definition for a new ComponentVersion resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Begins definition for a new ComputeResource resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Begins definition for a new DataContainer resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Begins definition for a new Datastore resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Begins definition for a new DataVersionBase resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Begins definition for a new EnvironmentContainer resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Begins definition for a new EnvironmentVersion resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainers: Begins definition for a new FeaturesetContainer resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: Begins definition for a new FeaturesetVersion resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainers: Begins definition for a new FeaturestoreEntityContainer resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersions: Begins definition for a new FeaturestoreEntityVersion resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Begins definition for a new JobBase resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettingsRules: Begins definition for a new OutboundRuleBasicResource resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptions: Begins definition for a new MarketplaceSubscription resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Begins definition for a new ModelContainer resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Begins definition for a new ModelVersion resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Begins definition for a new OnlineDeployment resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Begins definition for a new OnlineEndpoint resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Begins definition for a new PrivateEndpointConnection resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: Begins definition for a new Registry resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedules: Begins definition for a new Schedule resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: Begins definition for a new ServerlessEndpoint resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: Begins definition for a new WorkspaceConnectionPropertiesV2BasicResource resource.
define(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Begins definition for a new Workspace resource.
delayEvaluation() - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Get the delayEvaluation property: Number of intervals by which to delay the first evaluation.
delayInMinutes() - Method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Get the delayInMinutes property: The delayInMinutes property.
delete(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Delete registry.
delete(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Deletes a machine learning workspace.
delete(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Deletes a machine learning workspace.
delete(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Delete registry.
delete(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: Delete registry.
delete(String, String, Boolean, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Deletes a machine learning workspace.
delete(String, String, Boolean, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Deletes a machine learning workspace.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Delete Batch Inference Endpoint (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Delete datastore.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Deletes a Job (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Deletes an outbound rule from the managed network of a machine learning workspace.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: Delete Marketplace Subscription (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Delete Online Endpoint (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Deletes the specified private endpoint connection associated with the workspace.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: Delete Code container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: Delete schedule.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Delete Serverless Endpoint (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: The delete operation.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Delete Batch Inference Endpoint (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Delete datastore.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Deletes a Job (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettingsRules: Deletes an outbound rule from the managed network of a machine learning workspace.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptions: Delete Marketplace Subscription (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Delete Online Endpoint (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Deletes the specified private endpoint connection associated with the workspace.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeContainers: Delete Code container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelContainers: Delete container.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedules: Delete schedule.
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: Delete Serverless Endpoint (asynchronous).
delete(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: The delete operation.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Delete Batch Inference Endpoint (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Deletes a Job (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Deletes an outbound rule from the managed network of a machine learning workspace.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: Delete Marketplace Subscription (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Delete Online Endpoint (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: Delete Code container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: Delete schedule.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Delete Serverless Endpoint (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Delete Batch Inference Endpoint (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainers: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainers: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Deletes a Job (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettingsRules: Deletes an outbound rule from the managed network of a machine learning workspace.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptions: Delete Marketplace Subscription (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Delete Online Endpoint (asynchronous).
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeContainers: Delete Code container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentContainers: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataContainers: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentContainers: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelContainers: Delete container.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedules: Delete schedule.
delete(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: Delete Serverless Endpoint (asynchronous).
delete(String, String, String, UnderlyingResourceAction) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Deletes specified Machine Learning compute.
delete(String, String, String, UnderlyingResourceAction) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Deletes specified Machine Learning compute.
delete(String, String, String, UnderlyingResourceAction, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Deletes specified Machine Learning compute.
delete(String, String, String, UnderlyingResourceAction, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Deletes specified Machine Learning compute.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Delete Batch Inference deployment (asynchronous).
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Delete Inference Endpoint Deployment (asynchronous).
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Delete Batch Inference deployment (asynchronous).
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Delete Inference Endpoint Deployment (asynchronous).
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentVersions: Delete version.
delete(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelVersions: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Delete Batch Inference deployment (asynchronous).
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Delete Inference Endpoint Deployment (asynchronous).
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Delete Batch Inference deployment (asynchronous).
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersions: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Delete Inference Endpoint Deployment (asynchronous).
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeVersions: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentVersions: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataVersions: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentVersions: Delete version.
delete(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelVersions: Delete version.
DELETE - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Delete for OperationName.
DELETE - Static variable in class com.azure.resourcemanager.machinelearning.models.UnderlyingResourceAction: Static value Delete for UnderlyingResourceAction.
DELETE_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value DeleteFailed for OperationStatus.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Delete Batch Inference deployment (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Delete Batch Inference Endpoint (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Delete datastore.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Deletes a Job (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettingsRules: Deletes an outbound rule from the managed network of a machine learning workspace.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptions: Delete Marketplace Subscription (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Delete container.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Delete version.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Delete Inference Endpoint Deployment (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Delete Online Endpoint (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Deletes the specified private endpoint connection associated with the workspace.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: Delete registry.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedules: Delete schedule.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: Delete Serverless Endpoint (asynchronous).
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: The delete operation.
deleteById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Deletes a machine learning workspace.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Delete Batch Inference deployment (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Delete Batch Inference Endpoint (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Delete datastore.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Deletes a Job (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettingsRules: Deletes an outbound rule from the managed network of a machine learning workspace.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptions: Delete Marketplace Subscription (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Delete container.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Delete version.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Delete Inference Endpoint Deployment (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Delete Online Endpoint (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Deletes the specified private endpoint connection associated with the workspace.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: Delete registry.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedules: Delete schedule.
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: Delete Serverless Endpoint (asynchronous).
deleteByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: The delete operation.
deleteByIdWithResponse(String, Boolean, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Deletes a machine learning workspace.
deleteByResourceGroup(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: Delete registry.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Delete datastore.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Deletes the specified private endpoint connection associated with the workspace.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: The delete operation.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Delete datastore.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Delete container.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Deletes the specified private endpoint connection associated with the workspace.
deleteWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: The delete operation.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Delete version.
deleteWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Delete version.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.AssetProvisioningState: Static value Deleting for AssetProvisioningState.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Deleting for ComputeInstanceState.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Deleting for DeploymentProvisioningState.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Deleting for EndpointProvisioningState.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProvisioningState: Static value Deleting for MarketplaceSubscriptionProvisioningState.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Static value Deleting for PrivateEndpointConnectionProvisioningState.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Deleting for ProvisioningState.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningStatus: Static value Deleting for ScheduleProvisioningStatus.
DELETING - Static variable in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Static value Deleting for ServerlessEndpointState.
DELETION_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Static value DeletionFailed for ServerlessEndpointState.
DENSE_PROD - Static variable in class com.azure.resourcemanager.machinelearning.models.ClusterPurpose: Static value DenseProd for ClusterPurpose.
DENY - Static variable in class com.azure.resourcemanager.machinelearning.models.RuleAction: Static value Deny for RuleAction.
DEPENDENCY - Static variable in class com.azure.resourcemanager.machinelearning.models.RuleCategory: Static value Dependency for RuleCategory.
deploymentConfiguration() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the deploymentConfiguration property: Properties relevant to different deployment types.
deploymentConfigurationType() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentConfiguration: Get the deploymentConfigurationType property: [Required] The type of the deployment.
deploymentConfigurationType() - Method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Get the deploymentConfigurationType property: [Required] The type of the deployment.
deploymentId() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringTarget: Get the deploymentId property: Reference to the deployment asset targeted by this monitor.
DeploymentLogs - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of DeploymentLogs.
DeploymentLogsInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The DeploymentLogs model.
DeploymentLogsInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner: Creates an instance of DeploymentLogsInner class.
DeploymentLogsRequest - Class in com.azure.resourcemanager.machinelearning.models: The DeploymentLogsRequest model.
DeploymentLogsRequest() - Constructor for class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Creates an instance of DeploymentLogsRequest class.
deploymentName() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDefaults: Get the deploymentName property: Name of the deployment that will be default for the endpoint.
DeploymentProvisioningState - Class in com.azure.resourcemanager.machinelearning.models: Possible values for DeploymentProvisioningState.
DeploymentProvisioningState() - Constructor for class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Deprecated.
Use the DeploymentProvisioningState.fromString(String) factory method.
DeploymentResourceConfiguration - Class in com.azure.resourcemanager.machinelearning.models: The DeploymentResourceConfiguration model.
DeploymentResourceConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.DeploymentResourceConfiguration: Creates an instance of DeploymentResourceConfiguration class.
description() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Get the description property: Describes the feature for user experience.
description() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the description property: Description of the inference endpoint.
description() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the description property: The description of this workspace.
description() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the description property: The description of this workspace.
description() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the description property: The description of this workspace.
description() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlUserFeature: Gets the description property: Describes the feature for user experience.
description() - Method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Get the description property: The description which will be applied to the job.
description() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the description property: The description of the Machine Learning compute.
description() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Get the description property: Description of the endpoint deployment.
description() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the description property: Description of the inference endpoint.
description() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Get the description property: Specifies description.
description() - Method in class com.azure.resourcemanager.machinelearning.models.JobInput: Get the description property: Description for the input.
description() - Method in class com.azure.resourcemanager.machinelearning.models.JobOutput: Get the description property: Description for the output.
description() - Method in class com.azure.resourcemanager.machinelearning.models.OperationDisplay: Get the description property: The short, localized friendly description of the operation; suitable for tool tips and detailed views.
description() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Get the description property: Description of the endpoint deployment.
description() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Get the description property: The reason for approval/rejection of the connection.
description() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateLinkServiceConnectionState: Get the description property: User-defined message that, per NRP doc, may be used for approval-related message.
description() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Get the description property: The asset description text.
description() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the description property: The description of this workspace.
description() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the description property: The description of this workspace.
description() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the description property: The description of this workspace.
description() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the description property: The description of this workspace.
destination() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnOutboundRule: Get the destination property: The destination property.
destination() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointOutboundRule: Get the destination property: Private Endpoint destination for a Private Endpoint Outbound Rule for the managed network of a machine learning workspace.
destination() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagOutboundRule: Get the destination property: Service Tag destination for a Service Tag Outbound Rule for the managed network of a machine learning workspace.
DestinationAsset - Class in com.azure.resourcemanager.machinelearning.models: Publishing destination registry asset information.
DestinationAsset() - Constructor for class com.azure.resourcemanager.machinelearning.models.DestinationAsset: Creates an instance of DestinationAsset class.
destinationName() - Method in class com.azure.resourcemanager.machinelearning.models.DestinationAsset: Get the destinationName property: Destination asset name.
destinationVersion() - Method in class com.azure.resourcemanager.machinelearning.models.DestinationAsset: Get the destinationVersion property: Destination asset version.
DETACH - Static variable in class com.azure.resourcemanager.machinelearning.models.UnderlyingResourceAction: Static value Detach for UnderlyingResourceAction.
DEV_TEST - Static variable in class com.azure.resourcemanager.machinelearning.models.ClusterPurpose: Static value DevTest for ClusterPurpose.
developerToken() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Get the developerToken property: Required by GoogleAdWords connection category.
diagnose() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Diagnose workspace setup issue.
diagnose(DiagnoseWorkspaceParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Diagnose workspace setup issue.
diagnose(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Diagnose workspace setup issue.
diagnose(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Diagnose workspace setup issue.
diagnose(String, String, DiagnoseWorkspaceParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Diagnose workspace setup issue.
diagnose(String, String, DiagnoseWorkspaceParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Diagnose workspace setup issue.
DiagnoseRequestProperties - Class in com.azure.resourcemanager.machinelearning.models: The DiagnoseRequestProperties model.
DiagnoseRequestProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Creates an instance of DiagnoseRequestProperties class.
DiagnoseResponseResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of DiagnoseResponseResult.
DiagnoseResponseResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The DiagnoseResponseResult model.
DiagnoseResponseResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner: Creates an instance of DiagnoseResponseResultInner class.
DiagnoseResponseResultValue - Class in com.azure.resourcemanager.machinelearning.models: The DiagnoseResponseResultValue model.
DiagnoseResponseResultValue() - Constructor for class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Creates an instance of DiagnoseResponseResultValue class.
DiagnoseResult - Class in com.azure.resourcemanager.machinelearning.models: Result of Diagnose.
DiagnoseResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.DiagnoseResult: Creates an instance of DiagnoseResult class.
DiagnoseResultLevel - Class in com.azure.resourcemanager.machinelearning.models: Level of workspace setup error.
DiagnoseResultLevel() - Constructor for class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel: Deprecated.
Use the DiagnoseResultLevel.fromString(String) factory method.
DiagnoseWorkspaceParameters - Class in com.azure.resourcemanager.machinelearning.models: Parameters to diagnose a workspace.
DiagnoseWorkspaceParameters() - Constructor for class com.azure.resourcemanager.machinelearning.models.DiagnoseWorkspaceParameters: Creates an instance of DiagnoseWorkspaceParameters class.
DIRECT - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value Direct for InputDeliveryMode.
DIRECT - Static variable in class com.azure.resourcemanager.machinelearning.models.OutputDeliveryMode: Static value Direct for OutputDeliveryMode.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.AutoRebuildSetting: Static value Disabled for AutoRebuildSetting.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.ContentSafetyStatus: Static value Disabled for ContentSafetyStatus.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.DataCollectionMode: Static value Disabled for DataCollectionMode.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.EgressPublicNetworkAccessType: Static value Disabled for EgressPublicNetworkAccessType.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.EncryptionStatus: Static value Disabled for EncryptionStatus.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureImportanceMode: Static value Disabled for FeatureImportanceMode.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.IsolationMode: Static value Disabled for IsolationMode.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccess: Static value Disabled for PublicNetworkAccess.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccessType: Static value Disabled for PublicNetworkAccessType.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess: Static value Disabled for RemoteLoginPortPublicAccess.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleStatus: Static value Disabled for ScheduleStatus.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.SshPublicAccess: Static value Disabled for SshPublicAccess.
DISABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.SslConfigStatus: Static value Disabled for SslConfigStatus.
DISABLED_ONLY - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleListViewType: Static value DisabledOnly for ScheduleListViewType.
disableLocalAuth() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
DISCONNECTED - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointServiceConnectionStatus: Static value Disconnected for EndpointServiceConnectionStatus.
DISCONNECTED - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Static value Disconnected for PrivateEndpointServiceConnectionStatus.
discoveryUrl() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the discoveryUrl property: Discovery URL for the Registry.
discoveryUrl() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Get the discoveryUrl property: Discovery URL for the Registry.
discoveryUrl() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
discoveryUrl() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
discoveryUrl() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the discoveryUrl property: Discovery URL for the Registry.
discoveryUrl() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
discoveryUrl() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
diskSizeGB() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Get the diskSizeGB property: The initial disk size in gigabytes.
display() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OperationInner: Get the display property: Localized display information for this particular operation.
display() - Method in interface com.azure.resourcemanager.machinelearning.models.Operation: Gets the display property: Localized display information for this particular operation.
displayName() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Get the displayName property: Specifies the feature name.
displayName() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlUserFeature: Gets the displayName property: Specifies the feature name.
displayName() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Get the displayName property: Name of the ComputeInstance application.
displayName() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Get the displayName property: Specifies description.
displayName() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Get the displayName property: Display name of job.
displayName() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Get the displayName property: Display name of schedule.
distributed() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the distributed property: Whether to use distributer training.
distributed() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the distributed property: Whether to use distributed training.
distribution() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the distribution property: Distribution configuration of the job.
distribution() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the distribution property: Distribution configuration of the job.
DistributionConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Base definition for job distribution configuration.
DistributionConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.DistributionConfiguration: Creates an instance of DistributionConfiguration class.
distributionType() - Method in class com.azure.resourcemanager.machinelearning.models.DistributionConfiguration: Get the distributionType property: [Required] Specifies the type of distribution framework.
distributionType() - Method in class com.azure.resourcemanager.machinelearning.models.Mpi: Get the distributionType property: [Required] Specifies the type of distribution framework.
distributionType() - Method in class com.azure.resourcemanager.machinelearning.models.PyTorch: Get the distributionType property: [Required] Specifies the type of distribution framework.
distributionType() - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Get the distributionType property: [Required] Specifies the type of distribution framework.
DistributionType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the job distribution type.
DistributionType() - Constructor for class com.azure.resourcemanager.machinelearning.models.DistributionType: Deprecated.
Use the DistributionType.fromString(String) factory method.
dnsResolution() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the dnsResolution property: Setting for diagnosing dns resolution.
dnsResolutionResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the dnsResolutionResults property: The dnsResolutionResults property.
dnsServiceIp() - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Get the dnsServiceIp property: An IP address assigned to the Kubernetes DNS service.
docker() - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Get the docker property: Describes the docker settings for the image.
Docker - Class in com.azure.resourcemanager.machinelearning.models: Docker container configuration.
Docker() - Constructor for class com.azure.resourcemanager.machinelearning.models.Docker: Creates an instance of Docker class.
DOCKER - Static variable in class com.azure.resourcemanager.machinelearning.models.ImageType: Static value docker for ImageType.
DOCKER_CREDENTIALS - Static variable in class com.azure.resourcemanager.machinelearning.models.DataReferenceCredentialType: Static value DockerCredentials for DataReferenceCredentialType.
dockerArgs() - Method in class com.azure.resourcemanager.machinelearning.models.JobResourceConfiguration: Get the dockerArgs property: Extra arguments to pass to the Docker run command.
dockerBridgeCidr() - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Get the dockerBridgeCidr property: A CIDR notation IP range assigned to the Docker bridge network.
DockerCredential - Class in com.azure.resourcemanager.machinelearning.models: Credential for docker with username and password.
DockerCredential() - Constructor for class com.azure.resourcemanager.machinelearning.models.DockerCredential: Creates an instance of DockerCredential class.
dockerfilePath() - Method in class com.azure.resourcemanager.machinelearning.models.BuildContext: Get the dockerfilePath property: Path to the Dockerfile in the build context.
domainName() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Get the domainName property: The domainName property.
DOUBLE - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureDataType: Static value Double for FeatureDataType.
DOWNLOAD - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value Download for InputDeliveryMode.
DRILL - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Drill for ConnectionCategory.
DROP - Static variable in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Static value Drop for ShortSeriesHandlingConfiguration.
DYNAMICS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Dynamics for ConnectionCategory.
DYNAMICS_AX - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value DynamicsAx for ConnectionCategory.
DYNAMICS_CRM - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value DynamicsCrm for ConnectionCategory.

E

earlyStopping() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the earlyStopping property: Enable early stopping logic during training.
earlyStopping() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the earlyStopping property: Enable early stopping logic during training.
earlyStoppingDelay() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
earlyStoppingDelay() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
earlyStoppingPatience() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
earlyStoppingPatience() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
earlyTermination() - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Get the earlyTermination property: Type of early termination policy.
earlyTermination() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the earlyTermination property: Early termination policies enable canceling poor-performing runs before they complete.
EarlyTerminationPolicy - Class in com.azure.resourcemanager.machinelearning.models: Early termination policies enable canceling poor-performing runs before they complete.
EarlyTerminationPolicy() - Constructor for class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Creates an instance of EarlyTerminationPolicy class.
EarlyTerminationPolicyType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for EarlyTerminationPolicyType.
EarlyTerminationPolicyType() - Constructor for class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType: Deprecated.
Use the EarlyTerminationPolicyType.fromString(String) factory method.
egressPublicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the egressPublicNetworkAccess property: If Enabled, allow egress public network access.
EgressPublicNetworkAccessType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine whether PublicNetworkAccess is Enabled or Disabled for egress of a deployment.
EgressPublicNetworkAccessType() - Constructor for class com.azure.resourcemanager.machinelearning.models.EgressPublicNetworkAccessType: Deprecated.
Use the EgressPublicNetworkAccessType.fromString(String) factory method.
ELASTIC_NET - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value ElasticNet for ForecastingModels.
ELASTIC_NET - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value ElasticNet for RegressionModels.
ELASTIC_NET - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value ElasticNet for StackMetaLearnerType.
ELASTIC_NET_CV - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value ElasticNetCV for StackMetaLearnerType.
ELOQUA - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Eloqua for ConnectionCategory.
EmailNotificationEnableType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the email notification type.
EmailNotificationEnableType() - Constructor for class com.azure.resourcemanager.machinelearning.models.EmailNotificationEnableType: Deprecated.
Use the EmailNotificationEnableType.fromString(String) factory method.
emailNotificationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorNotificationSettings: Get the emailNotificationSettings property: The AML notification email settings.
emailOn() - Method in class com.azure.resourcemanager.machinelearning.models.NotificationSetting: Get the emailOn property: Send email notification to user on specified notification type.
emails() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorEmailNotificationSettings: Get the emails property: The email recipient list which has a limitation of 499 characters in total.
emails() - Method in class com.azure.resourcemanager.machinelearning.models.NotificationSetting: Get the emails property: This is the email recipient list which has a limitation of 499 characters in total concat with comma separator.
enabled() - Method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Get the enabled property: The enabled property.
enabled() - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Get the enabled property: The enabled property.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.ContentSafetyStatus: Static value Enabled for ContentSafetyStatus.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.DataCollectionMode: Static value Enabled for DataCollectionMode.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.EgressPublicNetworkAccessType: Static value Enabled for EgressPublicNetworkAccessType.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.EncryptionStatus: Static value Enabled for EncryptionStatus.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureImportanceMode: Static value Enabled for FeatureImportanceMode.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccess: Static value Enabled for PublicNetworkAccess.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccessType: Static value Enabled for PublicNetworkAccessType.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess: Static value Enabled for RemoteLoginPortPublicAccess.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleStatus: Static value Enabled for ScheduleStatus.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.SshPublicAccess: Static value Enabled for SshPublicAccess.
ENABLED - Static variable in class com.azure.resourcemanager.machinelearning.models.SslConfigStatus: Static value Enabled for SslConfigStatus.
ENABLED_ONLY - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleListViewType: Static value EnabledOnly for ScheduleListViewType.
enableDataIsolation() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the enableDataIsolation property: The enableDataIsolation property.
enableDataIsolation() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the enableDataIsolation property: The enableDataIsolation property.
enableDataIsolation() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the enableDataIsolation property: The enableDataIsolation property.
enableDataIsolation() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the enableDataIsolation property: The enableDataIsolation property.
enableDataIsolation() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the enableDataIsolation property: The enableDataIsolation property.
enableDataIsolation() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the enableDataIsolation property: The enableDataIsolation property.
enableDataIsolation() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the enableDataIsolation property: The enableDataIsolation property.
enableDnnFeaturization() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Get the enableDnnFeaturization property: Determines whether to use Dnn based featurizers for data featurization.
enableDnnTraining() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the enableDnnTraining property: Enable recommendation of DNN models.
enableEarlyTermination() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the enableEarlyTermination property: Enable early termination, determines whether or not if AutoMLJob will terminate early if there is no score improvement in last 20 iterations.
enableModelExplainability() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the enableModelExplainability property: Flag to turn on explainability on best model.
enableNodePublicIp() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the enableNodePublicIp property: Enable or disable node public IP address provisioning.
enableNodePublicIp() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the enableNodePublicIp property: Enable or disable node public IP address provisioning.
enableOnnxCompatibleModels() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the enableOnnxCompatibleModels property: Flag for enabling onnx compatible models.
enableOnnxNormalization() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
enableOnnxNormalization() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
enableStackEnsemble() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the enableStackEnsemble property: Enable stack ensemble run.
enableVoteEnsemble() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the enableVoteEnsemble property: Enable voting ensemble run.
encryption() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the encryption property: The encryption settings of Azure ML workspace.
encryption() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the encryption property: The encryption settings of Azure ML workspace.
encryption() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the encryption property: The encryption property.
encryption() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the encryption property: The encryption settings of Azure ML workspace.
encryption() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the encryption property: The encryption settings of Azure ML workspace.
encryption() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the encryption property: The encryption property.
encryption() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the encryption property: The encryption property.
EncryptionKeyVaultProperties - Class in com.azure.resourcemanager.machinelearning.models: The EncryptionKeyVaultProperties model.
EncryptionKeyVaultProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Creates an instance of EncryptionKeyVaultProperties class.
EncryptionKeyVaultUpdateProperties - Class in com.azure.resourcemanager.machinelearning.models: The EncryptionKeyVaultUpdateProperties model.
EncryptionKeyVaultUpdateProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultUpdateProperties: Creates an instance of EncryptionKeyVaultUpdateProperties class.
EncryptionProperty - Class in com.azure.resourcemanager.machinelearning.models: The EncryptionProperty model.
EncryptionProperty() - Constructor for class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Creates an instance of EncryptionProperty class.
EncryptionStatus - Class in com.azure.resourcemanager.machinelearning.models: Indicates whether or not the encryption is enabled for the workspace.
EncryptionStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.EncryptionStatus: Deprecated.
Use the EncryptionStatus.fromString(String) factory method.
EncryptionUpdateProperties - Class in com.azure.resourcemanager.machinelearning.models: The EncryptionUpdateProperties model.
EncryptionUpdateProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.EncryptionUpdateProperties: Creates an instance of EncryptionUpdateProperties class.
endpoint() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the endpoint property: Azure cloud endpoint for the storage account.
endpoint() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the endpoint property: Azure cloud endpoint for the storage account.
endpoint() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the endpoint property: Azure cloud endpoint for the storage account.
endpoint() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the endpoint property: Url for endpoint.
endpoint() - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Get the endpoint property: OneLake endpoint to use for the datastore.
Endpoint - Class in com.azure.resourcemanager.machinelearning.models: Describes the endpoint configuration for the container.
Endpoint() - Constructor for class com.azure.resourcemanager.machinelearning.models.Endpoint: Creates an instance of Endpoint class.
EndpointAuthKeys - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of EndpointAuthKeys.
EndpointAuthKeysInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Keys for endpoint authentication.
EndpointAuthKeysInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Creates an instance of EndpointAuthKeysInner class.
EndpointAuthMode - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine endpoint authentication mode.
EndpointAuthMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode: Deprecated.
Use the EndpointAuthMode.fromString(String) factory method.
EndpointAuthToken - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of EndpointAuthToken.
EndpointAuthTokenInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Service Token.
EndpointAuthTokenInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Creates an instance of EndpointAuthTokenInner class.
endpointComputeType() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Get the endpointComputeType property: [Required] The compute type of the endpoint.
endpointComputeType() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Get the endpointComputeType property: [Required] The compute type of the endpoint.
endpointComputeType() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the endpointComputeType property: [Required] The compute type of the endpoint.
EndpointComputeType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine endpoint compute type.
EndpointComputeType() - Constructor for class com.azure.resourcemanager.machinelearning.models.EndpointComputeType: Deprecated.
Use the EndpointComputeType.fromString(String) factory method.
EndpointDeploymentPropertiesBase - Class in com.azure.resourcemanager.machinelearning.models: Base definition for endpoint deployment.
EndpointDeploymentPropertiesBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Creates an instance of EndpointDeploymentPropertiesBase class.
endpointDetails() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Get the endpointDetails property: The endpointDetails property.
endpointInvocationDefinition() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointScheduleAction: Get the endpointInvocationDefinition property: [Required] Defines Schedule action definition details.
EndpointPropertiesBase - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of EndpointPropertiesBase.
EndpointPropertiesBaseInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Inference Endpoint base definition.
EndpointPropertiesBaseInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Creates an instance of EndpointPropertiesBaseInner class.
EndpointProvisioningState - Class in com.azure.resourcemanager.machinelearning.models: State of endpoint provisioning.
EndpointProvisioningState() - Constructor for class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Deprecated.
Use the EndpointProvisioningState.fromString(String) factory method.
endpoints() - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Get the endpoints property: Configuring the endpoints for the container.
endpoints() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Get the endpoints property: The endpoints property.
EndpointScheduleAction - Class in com.azure.resourcemanager.machinelearning.models: The EndpointScheduleAction model.
EndpointScheduleAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.EndpointScheduleAction: Creates an instance of EndpointScheduleAction class.
EndpointServiceConnectionStatus - Class in com.azure.resourcemanager.machinelearning.models: Connection status of the service consumer with the service provider.
EndpointServiceConnectionStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.EndpointServiceConnectionStatus: Deprecated.
Use the EndpointServiceConnectionStatus.fromString(String) factory method.
endpointState() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Get the endpointState property: The current state of the ServerlessEndpoint.
endpointUri() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Get the endpointUri property: Application' endpoint URI.
endTime() - Method in class com.azure.resourcemanager.machinelearning.models.TriggerBase: Get the endTime property: Specifies end time of schedule in ISO 8601, but without a UTC offset.
ensembleModelDownloadTimeout() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the ensembleModelDownloadTimeout property: During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded.
entities() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Get the entities property: Specifies list of entities.
entry() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the entry property: [Required] The entry to execute on startup of the job.
environment() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the environment property: Environment information of this container.
EnvironmentContainer - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of EnvironmentContainer.
EnvironmentContainer.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the EnvironmentContainer definition.
EnvironmentContainer.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The EnvironmentContainer definition stages.
EnvironmentContainer.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the EnvironmentContainer definition.
EnvironmentContainer.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentContainer definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
EnvironmentContainer.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentContainer definition allowing to specify parent resource.
EnvironmentContainer.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentContainer definition allowing to specify properties.
EnvironmentContainer.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for EnvironmentContainer update.
EnvironmentContainer.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The EnvironmentContainer update stages.
EnvironmentContainer.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentContainer update allowing to specify properties.
EnvironmentContainerInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
EnvironmentContainerInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerInner: Creates an instance of EnvironmentContainerInner class.
EnvironmentContainerProperties - Class in com.azure.resourcemanager.machinelearning.models: Container for environment specification versions.
EnvironmentContainerProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerProperties: Creates an instance of EnvironmentContainerProperties class.
EnvironmentContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of EnvironmentContainer entities.
EnvironmentContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Creates an instance of EnvironmentContainerResourceArmPaginatedResult class.
environmentContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of EnvironmentContainers.
EnvironmentContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of EnvironmentContainers.
EnvironmentContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in EnvironmentContainersClient.
environmentId() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the environmentId property: The ARM resource ID of the Environment specification for the job.
environmentId() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the environmentId property: [Required] The ARM resource ID of the Environment specification for the job.
environmentId() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Get the environmentId property: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
environmentId() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the environmentId property: The ARM resource ID of the Environment specification for the job.
environmentId() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the environmentId property: [Required] The ARM resource ID of the Environment specification for the job.
environmentType() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Get the environmentType property: Environment type is either user managed or curated by the Azure ML service <see href="https://docs.microsoft.com/en-us/azure/machine-learning/resource-curated-environments" />.
EnvironmentType - Class in com.azure.resourcemanager.machinelearning.models: Environment type is either user created or curated by Azure ML service.
EnvironmentType() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentType: Deprecated.
Use the EnvironmentType.fromString(String) factory method.
EnvironmentVariable - Class in com.azure.resourcemanager.machinelearning.models: Environment Variables for the container.
EnvironmentVariable() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentVariable: Creates an instance of EnvironmentVariable class.
environmentVariables() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the environmentVariables property: Environment variables included in the job.
environmentVariables() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the environmentVariables property: Environment variables included in the job.
environmentVariables() - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Get the environmentVariables property: Environment Variable for the container.
environmentVariables() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Get the environmentVariables property: Environment variables configuration for the deployment.
environmentVariables() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the environmentVariables property: Environment variables included in the job.
environmentVariables() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the environmentVariables property: Environment variables included in the job.
EnvironmentVariableType - Class in com.azure.resourcemanager.machinelearning.models: Type of Environment Variable Type of the Environment Variable.
EnvironmentVariableType() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentVariableType: Deprecated.
Use the EnvironmentVariableType.fromString(String) factory method.
EnvironmentVersion - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of EnvironmentVersion.
EnvironmentVersion.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the EnvironmentVersion definition.
EnvironmentVersion.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The EnvironmentVersion definition stages.
EnvironmentVersion.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the EnvironmentVersion definition.
EnvironmentVersion.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentVersion definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
EnvironmentVersion.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentVersion definition allowing to specify parent resource.
EnvironmentVersion.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentVersion definition allowing to specify properties.
EnvironmentVersion.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for EnvironmentVersion update.
EnvironmentVersion.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The EnvironmentVersion update stages.
EnvironmentVersion.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the EnvironmentVersion update allowing to specify properties.
EnvironmentVersionInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
EnvironmentVersionInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionInner: Creates an instance of EnvironmentVersionInner class.
EnvironmentVersionProperties - Class in com.azure.resourcemanager.machinelearning.models: Environment version details.
EnvironmentVersionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Creates an instance of EnvironmentVersionProperties class.
EnvironmentVersionResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of EnvironmentVersion entities.
EnvironmentVersionResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Creates an instance of EnvironmentVersionResourceArmPaginatedResult class.
environmentVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of EnvironmentVersions.
EnvironmentVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of EnvironmentVersions.
EnvironmentVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in EnvironmentVersionsClient.
error() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the error property: Error of this data mount.
ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel: Static value Error for DiagnoseResultLevel.
ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value Error for LogVerbosity.
errorMessage() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the errorMessage property: Any error in the service.
errorMessage() - Method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Get the errorMessage property: The errorMessage property.
errors() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the errors property: Collection of errors encountered by various compute nodes during node setup.
errors() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the errors property: Collection of errors encountered on this ComputeInstance.
errorThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the errorThreshold property: Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted.
EstimatedVMPrice - Class in com.azure.resourcemanager.machinelearning.models: The estimated price info for using a VM of a particular OS type, tier, etc.
EstimatedVMPrice() - Constructor for class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Creates an instance of EstimatedVMPrice class.
estimatedVMPrices() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the estimatedVMPrices property: The estimated price information for using a VM.
EstimatedVMPrices - Class in com.azure.resourcemanager.machinelearning.models: The estimated price info for using a VM.
EstimatedVMPrices() - Constructor for class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Creates an instance of EstimatedVMPrices class.
EVAL_DOWNLOAD - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value EvalDownload for InputDeliveryMode.
EVAL_MOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value EvalMount for InputDeliveryMode.
evaluationFrequency() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
evaluationFrequency() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
evaluationInterval() - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Get the evaluationInterval property: Interval (number of runs) between policy evaluations.
eventType() - Method in class com.azure.resourcemanager.machinelearning.models.Webhook: Get the eventType property: Send callback on a specified notification event.
exitScore() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the exitScore property: Exit score for the AutoML job.
experimentName() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Get the experimentName property: The name of the experiment the job belongs to.
expiresIn() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the expiresIn property: The expiresIn property.
expiresIn() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the expiresIn property: The expiresIn property.
expiryTime() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Get the expiryTime property: The expiryTime property.
expiryTimeUtc() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Get the expiryTimeUtc property: Access token expiry time (UTC).
expiryTimeUtc() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthToken: Gets the expiryTimeUtc property: Access token expiry time (UTC).
EXPONENTIAL_SMOOTHING - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value ExponentialSmoothing for ForecastingModels.
expression() - Method in class com.azure.resourcemanager.machinelearning.models.Cron: Get the expression property: [Required] Specifies cron expression of schedule.
expression() - Method in class com.azure.resourcemanager.machinelearning.models.CronTrigger: Get the expression property: [Required] Specifies cron expression of schedule.
extensionInstanceReleaseTrain() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the extensionInstanceReleaseTrain property: Extension instance release train.
extensionPrincipalId() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the extensionPrincipalId property: Extension principal-id.
ExternalFqdnResponse - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ExternalFqdnResponse.
ExternalFqdnResponseInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The ExternalFqdnResponse model.
ExternalFqdnResponseInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner: Creates an instance of ExternalFqdnResponseInner class.
EXTRA_LARGE - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelSize: Static value ExtraLarge for ModelSize.
EXTREME_RANDOM_TREES - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value ExtremeRandomTrees for ClassificationModels.
EXTREME_RANDOM_TREES - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value ExtremeRandomTrees for ForecastingModels.
EXTREME_RANDOM_TREES - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value ExtremeRandomTrees for RegressionModels.

F

FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.AssetProvisioningState: Static value Failed for AssetProvisioningState.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Failed for DeploymentProvisioningState.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Failed for EndpointProvisioningState.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Failed for JobStatus.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProvisioningState: Static value Failed for MarketplaceSubscriptionProvisioningState.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Static value Failed for PrivateEndpointConnectionProvisioningState.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Failed for ProvisioningState.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus: Static value Failed for ProvisioningStatus.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningState: Static value Failed for ScheduleProvisioningState.
FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningStatus: Static value Failed for ScheduleProvisioningStatus.
FAILURE - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value Failure for Status.
failureThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Get the failureThreshold property: The number of failures to allow before returning an unhealthy status.
family() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Get the family property: If the service has different generations of hardware, for the same SKU, then that can be captured here.
family() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Get the family property: If the service has different generations of hardware, for the same SKU, then that can be captured here.
family() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the family property: The family name of the virtual machine size.
FAST_PROD - Static variable in class com.azure.resourcemanager.machinelearning.models.ClusterPurpose: Static value FastProd for ClusterPurpose.
Feature - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of Feature.
FEATURE_ATTRIBUTION_DRIFT - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalType: Static value FeatureAttributionDrift for MonitoringSignalType.
FEATURE_SUBSET - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureFilterType: Static value FeatureSubset for MonitoringFeatureFilterType.
FeatureAttributionDriftMonitoringSignal - Class in com.azure.resourcemanager.machinelearning.models: The FeatureAttributionDriftMonitoringSignal model.
FeatureAttributionDriftMonitoringSignal() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Creates an instance of FeatureAttributionDriftMonitoringSignal class.
FeatureAttributionMetric - Class in com.azure.resourcemanager.machinelearning.models: Defines values for FeatureAttributionMetric.
FeatureAttributionMetric() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetric: Deprecated.
Use the FeatureAttributionMetric.fromString(String) factory method.
FeatureAttributionMetricThreshold - Class in com.azure.resourcemanager.machinelearning.models: The FeatureAttributionMetricThreshold model.
FeatureAttributionMetricThreshold() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetricThreshold: Creates an instance of FeatureAttributionMetricThreshold class.
FeatureDataType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for FeatureDataType.
FeatureDataType() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureDataType: Deprecated.
Use the FeatureDataType.fromString(String) factory method.
featureDataTypeOverride() - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Get the featureDataTypeOverride property: A dictionary that maps feature names to their respective data types.
featureDataTypeOverride() - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Get the featureDataTypeOverride property: A dictionary that maps feature names to their respective data types.
featureDataTypeOverride() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Get the featureDataTypeOverride property: A dictionary that maps feature names to their respective data types.
featureDataTypeOverride() - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Get the featureDataTypeOverride property: A dictionary that maps feature names to their respective data types.
FeatureImportanceMode - Class in com.azure.resourcemanager.machinelearning.models: The mode of operation for computing feature importance.
FeatureImportanceMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureImportanceMode: Deprecated.
Use the FeatureImportanceMode.fromString(String) factory method.
featureImportanceSettings() - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Get the featureImportanceSettings property: The settings for computing feature importance.
featureImportanceSettings() - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Get the featureImportanceSettings property: The settings for computing feature importance.
featureImportanceSettings() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Get the featureImportanceSettings property: [Required] The settings for computing feature importance.
FeatureImportanceSettings - Class in com.azure.resourcemanager.machinelearning.models: The FeatureImportanceSettings model.
FeatureImportanceSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureImportanceSettings: Creates an instance of FeatureImportanceSettings class.
FeatureInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
FeatureInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.FeatureInner: Creates an instance of FeatureInner class.
featureLags() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the featureLags property: Flag for generating lags for the numeric features with 'auto' or null.
FeatureLags - Class in com.azure.resourcemanager.machinelearning.models: Flag for generating lags for the numeric features.
FeatureLags() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureLags: Deprecated.
Use the FeatureLags.fromString(String) factory method.
featureName() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureProperties: Get the featureName property: Specifies name.
FeatureProperties - Class in com.azure.resourcemanager.machinelearning.models: DTO object representing feature.
FeatureProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureProperties: Creates an instance of FeatureProperties class.
FeatureResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of Feature entities.
FeatureResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureResourceArmPaginatedResult: Creates an instance of FeatureResourceArmPaginatedResult class.
features() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Features.
features() - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Get the features property: The feature filter which identifies which feature to calculate drift over.
features() - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Get the features property: The features to calculate drift over.
features() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureSubset: Get the features property: [Required] The list of features to include.
Features - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Features.
FeaturesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in FeaturesClient.
FeaturesetContainer - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of FeaturesetContainer.
FeaturesetContainer.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the FeaturesetContainer definition.
FeaturesetContainer.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The FeaturesetContainer definition stages.
FeaturesetContainer.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the FeaturesetContainer definition.
FeaturesetContainer.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturesetContainer definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
FeaturesetContainer.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturesetContainer definition allowing to specify parent resource.
FeaturesetContainer.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturesetContainer definition allowing to specify properties.
FeaturesetContainer.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for FeaturesetContainer update.
FeaturesetContainer.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The FeaturesetContainer update stages.
FeaturesetContainer.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturesetContainer update allowing to specify properties.
FeaturesetContainerInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
FeaturesetContainerInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetContainerInner: Creates an instance of FeaturesetContainerInner class.
FeaturesetContainerProperties - Class in com.azure.resourcemanager.machinelearning.models: DTO object representing feature set.
FeaturesetContainerProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerProperties: Creates an instance of FeaturesetContainerProperties class.
FeaturesetContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of FeaturesetContainer entities.
FeaturesetContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerResourceArmPaginatedResult: Creates an instance of FeaturesetContainerResourceArmPaginatedResult class.
featuresetContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of FeaturesetContainers.
FeaturesetContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of FeaturesetContainers.
FeaturesetContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in FeaturesetContainersClient.
FeaturesetSpecification - Class in com.azure.resourcemanager.machinelearning.models: DTO object representing specification.
FeaturesetSpecification() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturesetSpecification: Creates an instance of FeaturesetSpecification class.
FeaturesetVersion - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of FeaturesetVersion.
FeaturesetVersion.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the FeaturesetVersion definition.
FeaturesetVersion.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The FeaturesetVersion definition stages.
FeaturesetVersion.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the FeaturesetVersion definition.
FeaturesetVersion.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturesetVersion definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
FeaturesetVersion.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturesetVersion definition allowing to specify parent resource.
FeaturesetVersion.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturesetVersion definition allowing to specify properties.
FeaturesetVersion.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for FeaturesetVersion update.
FeaturesetVersion.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The FeaturesetVersion update stages.
FeaturesetVersion.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturesetVersion update allowing to specify properties.
FeaturesetVersionBackfillRequest - Class in com.azure.resourcemanager.machinelearning.models: Request payload for creating a backfill request for a given feature set version.
FeaturesetVersionBackfillRequest() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Creates an instance of FeaturesetVersionBackfillRequest class.
FeaturesetVersionBackfillResponse - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of FeaturesetVersionBackfillResponse.
FeaturesetVersionBackfillResponseInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Response payload for creating a backfill request for a given feature set version.
FeaturesetVersionBackfillResponseInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionBackfillResponseInner: Creates an instance of FeaturesetVersionBackfillResponseInner class.
FeaturesetVersionInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
FeaturesetVersionInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionInner: Creates an instance of FeaturesetVersionInner class.
FeaturesetVersionProperties - Class in com.azure.resourcemanager.machinelearning.models: DTO object representing feature set version.
FeaturesetVersionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Creates an instance of FeaturesetVersionProperties class.
FeaturesetVersionResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of FeaturesetVersion entities.
FeaturesetVersionResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionResourceArmPaginatedResult: Creates an instance of FeaturesetVersionResourceArmPaginatedResult class.
featuresetVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of FeaturesetVersions.
FeaturesetVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of FeaturesetVersions.
FeaturesetVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in FeaturesetVersionsClient.
FeaturestoreEntityContainer - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of FeaturestoreEntityContainer.
FeaturestoreEntityContainer.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the FeaturestoreEntityContainer definition.
FeaturestoreEntityContainer.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The FeaturestoreEntityContainer definition stages.
FeaturestoreEntityContainer.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the FeaturestoreEntityContainer definition.
FeaturestoreEntityContainer.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturestoreEntityContainer definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
FeaturestoreEntityContainer.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturestoreEntityContainer definition allowing to specify parent resource.
FeaturestoreEntityContainer.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturestoreEntityContainer definition allowing to specify properties.
FeaturestoreEntityContainer.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for FeaturestoreEntityContainer update.
FeaturestoreEntityContainer.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The FeaturestoreEntityContainer update stages.
FeaturestoreEntityContainer.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturestoreEntityContainer update allowing to specify properties.
FeaturestoreEntityContainerInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
FeaturestoreEntityContainerInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityContainerInner: Creates an instance of FeaturestoreEntityContainerInner class.
FeaturestoreEntityContainerProperties - Class in com.azure.resourcemanager.machinelearning.models: DTO object representing feature entity.
FeaturestoreEntityContainerProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerProperties: Creates an instance of FeaturestoreEntityContainerProperties class.
FeaturestoreEntityContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of FeaturestoreEntityContainer entities.
FeaturestoreEntityContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerResourceArmPaginatedResult: Creates an instance of FeaturestoreEntityContainerResourceArmPaginatedResult class.
featurestoreEntityContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of FeaturestoreEntityContainers.
FeaturestoreEntityContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of FeaturestoreEntityContainers.
FeaturestoreEntityContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in FeaturestoreEntityContainersClient.
FeaturestoreEntityVersion - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of FeaturestoreEntityVersion.
FeaturestoreEntityVersion.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the FeaturestoreEntityVersion definition.
FeaturestoreEntityVersion.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The FeaturestoreEntityVersion definition stages.
FeaturestoreEntityVersion.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the FeaturestoreEntityVersion definition.
FeaturestoreEntityVersion.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturestoreEntityVersion definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
FeaturestoreEntityVersion.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturestoreEntityVersion definition allowing to specify parent resource.
FeaturestoreEntityVersion.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturestoreEntityVersion definition allowing to specify properties.
FeaturestoreEntityVersion.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for FeaturestoreEntityVersion update.
FeaturestoreEntityVersion.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The FeaturestoreEntityVersion update stages.
FeaturestoreEntityVersion.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the FeaturestoreEntityVersion update allowing to specify properties.
FeaturestoreEntityVersionInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
FeaturestoreEntityVersionInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityVersionInner: Creates an instance of FeaturestoreEntityVersionInner class.
FeaturestoreEntityVersionProperties - Class in com.azure.resourcemanager.machinelearning.models: DTO object representing feature entity version.
FeaturestoreEntityVersionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Creates an instance of FeaturestoreEntityVersionProperties class.
FeaturestoreEntityVersionResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of FeaturestoreEntityVersion entities.
FeaturestoreEntityVersionResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionResourceArmPaginatedResult: Creates an instance of FeaturestoreEntityVersionResourceArmPaginatedResult class.
featurestoreEntityVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of FeaturestoreEntityVersions.
FeaturestoreEntityVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of FeaturestoreEntityVersions.
FeaturestoreEntityVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in FeaturestoreEntityVersionsClient.
featureStoreSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the featureStoreSettings property: Settings for feature store type workspace.
featureStoreSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the featureStoreSettings property: Settings for feature store type workspace.
featureStoreSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the featureStoreSettings property: Settings for feature store type workspace.
featureStoreSettings() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the featureStoreSettings property: Settings for feature store type workspace.
featureStoreSettings() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the featureStoreSettings property: Settings for feature store type workspace.
featureStoreSettings() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the featureStoreSettings property: Settings for feature store type workspace.
featureStoreSettings() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the featureStoreSettings property: Settings for feature store type workspace.
FeatureStoreSettings - Class in com.azure.resourcemanager.machinelearning.models: Settings for feature store type workspace.
FeatureStoreSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureStoreSettings: Creates an instance of FeatureStoreSettings class.
FeatureSubset - Class in com.azure.resourcemanager.machinelearning.models: The FeatureSubset model.
FeatureSubset() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureSubset: Creates an instance of FeatureSubset class.
featureWindow() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Get the featureWindow property: Specifies the backfill feature window to be materialized.
FeatureWindow - Class in com.azure.resourcemanager.machinelearning.models: Specifies the feature window.
FeatureWindow() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeatureWindow: Creates an instance of FeatureWindow class.
featureWindowEnd() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureWindow: Get the featureWindowEnd property: Specifies the feature window end time.
featureWindowStart() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureWindow: Get the featureWindowStart property: Specifies the feature window start time.
FeaturizationMode - Class in com.azure.resourcemanager.machinelearning.models: Featurization mode - determines data featurization mode.
FeaturizationMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturizationMode: Deprecated.
Use the FeaturizationMode.fromString(String) factory method.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
featurizationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Get the featurizationSettings property: Featurization inputs needed for AutoML job.
FeaturizationSettings - Class in com.azure.resourcemanager.machinelearning.models: Featurization Configuration.
FeaturizationSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.FeaturizationSettings: Creates an instance of FeaturizationSettings class.
fields() - Method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Get the fields property: Fields to apply transformer logic on.
file() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobPythonEntry: Get the file property: [Required] Relative python file path for job entry point.
FILE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionGroup: Static value File for ConnectionGroup.
FILE_SERVER - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value FileServer for ConnectionCategory.
files() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the files property: Files used in the job.
fileShareName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the fileShareName property: [Required] The name of the Azure file share that the datastore points to.
filesystem() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the filesystem property: [Required] The name of the Data Lake Gen2 filesystem.
filterType() - Method in class com.azure.resourcemanager.machinelearning.models.AllFeatures: Get the filterType property: [Required] Specifies the feature filter to leverage when selecting features to calculate metrics over.
filterType() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureSubset: Get the filterType property: [Required] Specifies the feature filter to leverage when selecting features to calculate metrics over.
filterType() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureFilterBase: Get the filterType property: [Required] Specifies the feature filter to leverage when selecting features to calculate metrics over.
filterType() - Method in class com.azure.resourcemanager.machinelearning.models.TopNFeaturesByAttribution: Get the filterType property: [Required] Specifies the feature filter to leverage when selecting features to calculate metrics over.
FINALIZING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Finalizing for JobStatus.
FIXED - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataType: Static value Fixed for MonitoringInputDataType.
FixedInputData - Class in com.azure.resourcemanager.machinelearning.models: Fixed input data definition.
FixedInputData() - Constructor for class com.azure.resourcemanager.machinelearning.models.FixedInputData: Creates an instance of FixedInputData class.
FlavorData - Class in com.azure.resourcemanager.machinelearning.models: The FlavorData model.
FlavorData() - Constructor for class com.azure.resourcemanager.machinelearning.models.FlavorData: Creates an instance of FlavorData class.
flavors() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Get the flavors property: Mapping of model flavors to their properties.
FLOAT - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureDataType: Static value Float for FeatureDataType.
forecastHorizon() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the forecastHorizon property: The desired maximum forecast horizon in units of time-series frequency.
ForecastHorizon - Class in com.azure.resourcemanager.machinelearning.models: The desired maximum forecast horizon in units of time-series frequency.
ForecastHorizon() - Constructor for class com.azure.resourcemanager.machinelearning.models.ForecastHorizon: Creates an instance of ForecastHorizon class.
ForecastHorizonMode - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine forecast horizon selection mode.
ForecastHorizonMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.ForecastHorizonMode: Deprecated.
Use the ForecastHorizonMode.fromString(String) factory method.
Forecasting - Class in com.azure.resourcemanager.machinelearning.models: Forecasting task in AutoML Table vertical.
Forecasting() - Constructor for class com.azure.resourcemanager.machinelearning.models.Forecasting: Creates an instance of Forecasting class.
FORECASTING - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value Forecasting for TaskType.
ForecastingModels - Class in com.azure.resourcemanager.machinelearning.models: Enum for all forecasting models supported by AutoML.
ForecastingModels() - Constructor for class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Deprecated.
Use the ForecastingModels.fromString(String) factory method.
ForecastingPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Primary metrics for Forecasting task.
ForecastingPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Deprecated.
Use the ForecastingPrimaryMetrics.fromString(String) factory method.
forecastingSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the forecastingSettings property: Forecasting task specific inputs.
ForecastingSettings - Class in com.azure.resourcemanager.machinelearning.models: Forecasting specific parameters.
ForecastingSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Creates an instance of ForecastingSettings class.
ForecastingTrainingSettings - Class in com.azure.resourcemanager.machinelearning.models: Forecasting Training related configuration.
ForecastingTrainingSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Creates an instance of ForecastingTrainingSettings class.
fqdn() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Get the fqdn property: The fqdn property.
fqdn() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookResourceInfo: Gets the fqdn property: The fqdn property.
FQDN - Static variable in class com.azure.resourcemanager.machinelearning.models.RuleType: Static value FQDN for RuleType.
FqdnEndpoint - Class in com.azure.resourcemanager.machinelearning.models: The FqdnEndpoint model.
FqdnEndpoint() - Constructor for class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Creates an instance of FqdnEndpoint class.
FqdnEndpointDetail - Class in com.azure.resourcemanager.machinelearning.models: The FqdnEndpointDetail model.
FqdnEndpointDetail() - Constructor for class com.azure.resourcemanager.machinelearning.models.FqdnEndpointDetail: Creates an instance of FqdnEndpointDetail class.
FqdnEndpoints - Class in com.azure.resourcemanager.machinelearning.models: The FqdnEndpoints model.
FqdnEndpoints() - Constructor for class com.azure.resourcemanager.machinelearning.models.FqdnEndpoints: Creates an instance of FqdnEndpoints class.
FqdnEndpointsProperties - Class in com.azure.resourcemanager.machinelearning.models: The FqdnEndpointsProperties model.
FqdnEndpointsProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Creates an instance of FqdnEndpointsProperties class.
FqdnOutboundRule - Class in com.azure.resourcemanager.machinelearning.models: FQDN Outbound Rule for the managed network of a machine learning workspace.
FqdnOutboundRule() - Constructor for class com.azure.resourcemanager.machinelearning.models.FqdnOutboundRule: Creates an instance of FqdnOutboundRule class.
FREE - Enum constant in enum com.azure.resourcemanager.machinelearning.models.SkuTier: Enum value Free.
frequency() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the frequency property: When forecasting, this parameter represents the period with which the forecast is desired, for example daily, weekly, yearly, etc.
frequency() - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Get the frequency property: [Required] The frequency to trigger schedule.
frequency() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Get the frequency property: [Required] The frequency to trigger schedule.
FRIDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeWeekDay: Static value Friday for ComputeWeekDay.
FRIDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.WeekDay: Static value Friday for WeekDay.
friendlyName() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the friendlyName property: The friendly name for this workspace.
friendlyName() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the friendlyName property: The friendly name for this workspace.
friendlyName() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the friendlyName property: The friendly name for this workspace.
friendlyName() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the friendlyName property: The friendly name for this workspace.
friendlyName() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the friendlyName property: The friendly name for this workspace.
friendlyName() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the friendlyName property: The friendly name for this workspace.
friendlyName() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the friendlyName property: The friendly name for this workspace.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Reads an instance of AmlUserFeatureInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Reads an instance of BatchDeploymentInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Reads an instance of BatchEndpointInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ClusterUpdateProperties: Reads an instance of ClusterUpdateProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerInner: Reads an instance of CodeContainerInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionInner: Reads an instance of CodeVersionInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerInner: Reads an instance of ComponentContainerInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionInner: Reads an instance of ComponentVersionInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Reads an instance of ComputeResourceInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeSecretsInner: Reads an instance of ComputeSecretsInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerInner: Reads an instance of DataContainerInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreInner: Reads an instance of DatastoreInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreSecretsInner: Reads an instance of DatastoreSecretsInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseInner: Reads an instance of DataVersionBaseInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner: Reads an instance of DeploymentLogsInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner: Reads an instance of DiagnoseResponseResultInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Reads an instance of EndpointAuthKeysInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Reads an instance of EndpointAuthTokenInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Reads an instance of EndpointPropertiesBaseInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerInner: Reads an instance of EnvironmentContainerInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionInner: Reads an instance of EnvironmentVersionInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner: Reads an instance of ExternalFqdnResponseInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.FeatureInner: Reads an instance of FeatureInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetContainerInner: Reads an instance of FeaturesetContainerInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionBackfillResponseInner: Reads an instance of FeaturesetVersionBackfillResponseInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionInner: Reads an instance of FeaturesetVersionInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityContainerInner: Reads an instance of FeaturestoreEntityContainerInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityVersionInner: Reads an instance of FeaturestoreEntityVersionInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.GetBlobReferenceSasResponseDtoInner: Reads an instance of GetBlobReferenceSasResponseDtoInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseInner: Reads an instance of JobBaseInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner: Reads an instance of ListNotebookKeysResultInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ListStorageAccountKeysResultInner: Reads an instance of ListStorageAccountKeysResultInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Reads an instance of ListWorkspaceKeysResultInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkProvisionStatusInner: Reads an instance of ManagedNetworkProvisionStatusInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner: Reads an instance of ManagedNetworkSettingsInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.MarketplaceSubscriptionInner: Reads an instance of MarketplaceSubscriptionInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerInner: Reads an instance of ModelContainerInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionInner: Reads an instance of ModelVersionInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Reads an instance of NotebookAccessTokenResultInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Reads an instance of NotebookResourceInfoInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Reads an instance of OnlineDeploymentInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Reads an instance of OnlineEndpointInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.OperationInner: Reads an instance of OperationInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.OutboundRuleBasicResourceInner: Reads an instance of OutboundRuleBasicResourceInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.PendingUploadResponseDtoInner: Reads an instance of PendingUploadResponseDtoInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Reads an instance of PrivateEndpointConnectionInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Reads an instance of PrivateEndpointConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner: Reads an instance of PrivateLinkResourceListResultInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Reads an instance of PrivateLinkResourceProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Reads an instance of RegistryInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties: Reads an instance of RegistryPrivateEndpointConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Reads an instance of RegistryProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Reads an instance of ResourceQuotaInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ScheduleInner: Reads an instance of ScheduleInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Reads an instance of ServerlessEndpointInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Reads an instance of SharedPrivateLinkResourceProperty from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Reads an instance of SkuResourceInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner: Reads an instance of UpdateWorkspaceQuotasResultInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Reads an instance of UsageInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner: Reads an instance of VirtualMachineSizeListResultInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionPropertiesV2BasicResourceInner: Reads an instance of WorkspaceConnectionPropertiesV2BasicResourceInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Reads an instance of WorkspaceInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Reads an instance of WorkspacePropertiesInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Reads an instance of WorkspacePropertiesUpdateParametersInner from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Reads an instance of AadAuthTypeWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Reads an instance of AccessKeyAuthTypeWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Reads an instance of AccountKeyAuthTypeWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreCredentials: Reads an instance of AccountKeyDatastoreCredentials from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreSecrets: Reads an instance of AccountKeyDatastoreSecrets from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AcrDetails: Reads an instance of AcrDetails from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Aks: Reads an instance of Aks from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Reads an instance of AksComputeSecrets from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Reads an instance of AksComputeSecretsProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Reads an instance of AksNetworkingConfiguration from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AksSchema: Reads an instance of AksSchema from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Reads an instance of AksSchemaProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AllFeatures: Reads an instance of AllFeatures from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AllNodes: Reads an instance of AllNodes from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Reads an instance of AmlCompute from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Reads an instance of AmlComputeNodeInformation from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodesInformation: Reads an instance of AmlComputeNodesInformation from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Reads an instance of AmlComputeProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AmlComputeSchema: Reads an instance of AmlComputeSchema from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AmlToken: Reads an instance of AmlToken from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AmlTokenComputeIdentity: Reads an instance of AmlTokenComputeIdentity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AnonymousAccessCredential: Reads an instance of AnonymousAccessCredential from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Reads an instance of ApiKeyAuthWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ArmResourceId: Reads an instance of ArmResourceId from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Reads an instance of AssetBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Reads an instance of AssetContainer from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Reads an instance of AssetJobInput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Reads an instance of AssetJobOutput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AssetReferenceBase: Reads an instance of AssetReferenceBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AssignedUser: Reads an instance of AssignedUser from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AutoForecastHorizon: Reads an instance of AutoForecastHorizon from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Reads an instance of AutoMLJob from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Reads an instance of AutoMLVertical from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AutoNCrossValidations: Reads an instance of AutoNCrossValidations from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Reads an instance of AutoPauseProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Reads an instance of AutoScaleProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AutoSeasonality: Reads an instance of AutoSeasonality from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AutoTargetLags: Reads an instance of AutoTargetLags from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AutoTargetRollingWindowSize: Reads an instance of AutoTargetRollingWindowSize from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Reads an instance of AzureBlobDatastore from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Reads an instance of AzureDataLakeGen1Datastore from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Reads an instance of AzureDataLakeGen2Datastore from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AzureDatastore: Reads an instance of AzureDatastore from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AzureDevOpsWebhook: Reads an instance of AzureDevOpsWebhook from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Reads an instance of AzureFileDatastore from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Reads an instance of BanditPolicy from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentConfiguration: Reads an instance of BatchDeploymentConfiguration from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Reads an instance of BatchDeploymentProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Reads an instance of BatchDeploymentTrackedResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDefaults: Reads an instance of BatchEndpointDefaults from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Reads an instance of BatchEndpointProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Reads an instance of BatchEndpointTrackedResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Reads an instance of BatchPipelineComponentDeploymentConfiguration from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Reads an instance of BatchRetrySettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BayesianSamplingAlgorithm: Reads an instance of BayesianSamplingAlgorithm from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BindOptions: Reads an instance of BindOptions from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BlobReferenceForConsumptionDto: Reads an instance of BlobReferenceForConsumptionDto from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.BuildContext: Reads an instance of BuildContext from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetricThreshold: Reads an instance of CategoricalDataDriftMetricThreshold from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetricThreshold: Reads an instance of CategoricalDataQualityMetricThreshold from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetricThreshold: Reads an instance of CategoricalPredictionDriftMetricThreshold from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Reads an instance of CertificateDatastoreCredentials from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreSecrets: Reads an instance of CertificateDatastoreSecrets from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Classification: Reads an instance of Classification from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Reads an instance of ClassificationTrainingSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ClusterUpdateParameters: Reads an instance of ClusterUpdateParameters from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Reads an instance of CodeConfiguration from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CodeContainerProperties: Reads an instance of CodeContainerProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Reads an instance of CodeContainerResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties: Reads an instance of CodeVersionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Reads an instance of CodeVersionResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Collection: Reads an instance of Collection from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Reads an instance of ColumnTransformer from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Reads an instance of CommandJob from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CommandJobLimits: Reads an instance of CommandJobLimits from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerProperties: Reads an instance of ComponentContainerProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Reads an instance of ComponentContainerResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties: Reads an instance of ComponentVersionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Reads an instance of ComponentVersionResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Compute: Reads an instance of Compute from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Reads an instance of ComputeInstance from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Reads an instance of ComputeInstanceApplication from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceConnectivityEndpoints: Reads an instance of ComputeInstanceConnectivityEndpoints from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Reads an instance of ComputeInstanceContainer from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy: Reads an instance of ComputeInstanceCreatedBy from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Reads an instance of ComputeInstanceDataDisk from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Reads an instance of ComputeInstanceDataMount from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Reads an instance of ComputeInstanceEnvironmentInfo from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Reads an instance of ComputeInstanceLastOperation from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Reads an instance of ComputeInstanceProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSchema: Reads an instance of ComputeInstanceSchema from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Reads an instance of ComputeInstanceSshSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceVersion: Reads an instance of ComputeInstanceVersion from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule: Reads an instance of ComputeRecurrenceSchedule from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeResourceSchema: Reads an instance of ComputeResourceSchema from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeRuntimeDto: Reads an instance of ComputeRuntimeDto from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeSchedules: Reads an instance of ComputeSchedules from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Reads an instance of ComputeStartStopSchedule from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Reads an instance of ContainerResourceRequirements from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Reads an instance of ContainerResourceSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ContentSafety: Reads an instance of ContentSafety from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CosmosDbSettings: Reads an instance of CosmosDbSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CreateMonitorAction: Reads an instance of CreateMonitorAction from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Cron: Reads an instance of Cron from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CronTrigger: Reads an instance of CronTrigger from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomForecastHorizon: Reads an instance of CustomForecastHorizon from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomKeys: Reads an instance of CustomKeys from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Reads an instance of CustomKeysWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomMetricThreshold: Reads an instance of CustomMetricThreshold from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Reads an instance of CustomModelJobInput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Reads an instance of CustomModelJobOutput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Reads an instance of CustomMonitoringSignal from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomNCrossValidations: Reads an instance of CustomNCrossValidations from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomSeasonality: Reads an instance of CustomSeasonality from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomService: Reads an instance of CustomService from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomTargetLags: Reads an instance of CustomTargetLags from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.CustomTargetRollingWindowSize: Reads an instance of CustomTargetRollingWindowSize from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Databricks: Reads an instance of Databricks from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecrets: Reads an instance of DatabricksComputeSecrets from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecretsProperties: Reads an instance of DatabricksComputeSecretsProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Reads an instance of DatabricksProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DatabricksSchema: Reads an instance of DatabricksSchema from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataCollector: Reads an instance of DataCollector from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataContainerProperties: Reads an instance of DataContainerProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Reads an instance of DataContainerResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataDriftMetricThresholdBase: Reads an instance of DataDriftMetricThresholdBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Reads an instance of DataDriftMonitoringSignal from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Reads an instance of DataFactory from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Reads an instance of DataLakeAnalytics from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchema: Reads an instance of DataLakeAnalyticsSchema from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchemaProperties: Reads an instance of DataLakeAnalyticsSchemaProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Reads an instance of DataPathAssetReference from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataQualityMetricThresholdBase: Reads an instance of DataQualityMetricThresholdBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Reads an instance of DataQualityMonitoringSignal from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataReferenceCredential: Reads an instance of DataReferenceCredential from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DatastoreCredentials: Reads an instance of DatastoreCredentials from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DatastoreProperties: Reads an instance of DatastoreProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Reads an instance of DatastoreResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties: Reads an instance of DataVersionBaseProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Reads an instance of DataVersionBaseResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DefaultScaleSettings: Reads an instance of DefaultScaleSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Reads an instance of DeploymentLogsRequest from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DeploymentResourceConfiguration: Reads an instance of DeploymentResourceConfiguration from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DestinationAsset: Reads an instance of DestinationAsset from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Reads an instance of DiagnoseRequestProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Reads an instance of DiagnoseResponseResultValue from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResult: Reads an instance of DiagnoseResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DiagnoseWorkspaceParameters: Reads an instance of DiagnoseWorkspaceParameters from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DistributionConfiguration: Reads an instance of DistributionConfiguration from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Docker: Reads an instance of Docker from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.DockerCredential: Reads an instance of DockerCredential from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Reads an instance of EarlyTerminationPolicy from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Reads an instance of EncryptionKeyVaultProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultUpdateProperties: Reads an instance of EncryptionKeyVaultUpdateProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Reads an instance of EncryptionProperty from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EncryptionUpdateProperties: Reads an instance of EncryptionUpdateProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Reads an instance of Endpoint from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Reads an instance of EndpointDeploymentPropertiesBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointScheduleAction: Reads an instance of EndpointScheduleAction from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerProperties: Reads an instance of EnvironmentContainerProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Reads an instance of EnvironmentContainerResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariable: Reads an instance of EnvironmentVariable from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Reads an instance of EnvironmentVersionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Reads an instance of EnvironmentVersionResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Reads an instance of EstimatedVMPrice from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Reads an instance of EstimatedVMPrices from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Reads an instance of FeatureAttributionDriftMonitoringSignal from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetricThreshold: Reads an instance of FeatureAttributionMetricThreshold from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureImportanceSettings: Reads an instance of FeatureImportanceSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureProperties: Reads an instance of FeatureProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureResourceArmPaginatedResult: Reads an instance of FeatureResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerProperties: Reads an instance of FeaturesetContainerProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerResourceArmPaginatedResult: Reads an instance of FeaturesetContainerResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturesetSpecification: Reads an instance of FeaturesetSpecification from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Reads an instance of FeaturesetVersionBackfillRequest from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Reads an instance of FeaturesetVersionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionResourceArmPaginatedResult: Reads an instance of FeaturesetVersionResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerProperties: Reads an instance of FeaturestoreEntityContainerProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerResourceArmPaginatedResult: Reads an instance of FeaturestoreEntityContainerResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Reads an instance of FeaturestoreEntityVersionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionResourceArmPaginatedResult: Reads an instance of FeaturestoreEntityVersionResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureStoreSettings: Reads an instance of FeatureStoreSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureSubset: Reads an instance of FeatureSubset from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureWindow: Reads an instance of FeatureWindow from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturizationSettings: Reads an instance of FeaturizationSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FixedInputData: Reads an instance of FixedInputData from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FlavorData: Reads an instance of FlavorData from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastHorizon: Reads an instance of ForecastHorizon from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Reads an instance of Forecasting from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Reads an instance of ForecastingSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Reads an instance of ForecastingTrainingSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Reads an instance of FqdnEndpoint from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointDetail: Reads an instance of FqdnEndpointDetail from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoints: Reads an instance of FqdnEndpoints from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Reads an instance of FqdnEndpointsProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.FqdnOutboundRule: Reads an instance of FqdnOutboundRule from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceForConsumptionDto: Reads an instance of GetBlobReferenceForConsumptionDto from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceSasRequestDto: Reads an instance of GetBlobReferenceSasRequestDto from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.GridSamplingAlgorithm: Reads an instance of GridSamplingAlgorithm from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Reads an instance of HDInsight from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Reads an instance of HDInsightProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.HDInsightSchema: Reads an instance of HDInsightSchema from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.IdAssetReference: Reads an instance of IdAssetReference from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.IdentityConfiguration: Reads an instance of IdentityConfiguration from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.IdentityForCmk: Reads an instance of IdentityForCmk from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Image: Reads an instance of Image from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Reads an instance of ImageClassification from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Reads an instance of ImageClassificationBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Reads an instance of ImageClassificationMultilabel from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Reads an instance of ImageInstanceSegmentation from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Reads an instance of ImageLimitSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageMetadata: Reads an instance of ImageMetadata from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Reads an instance of ImageModelDistributionSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Reads an instance of ImageModelDistributionSettingsClassification from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Reads an instance of ImageModelDistributionSettingsObjectDetection from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Reads an instance of ImageModelSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Reads an instance of ImageModelSettingsClassification from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Reads an instance of ImageModelSettingsObjectDetection from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Reads an instance of ImageObjectDetection from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Reads an instance of ImageObjectDetectionBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Reads an instance of ImageSweepSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Reads an instance of ImageVertical from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.IndexColumn: Reads an instance of IndexColumn from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Reads an instance of InferenceContainerProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Reads an instance of InstanceTypeSchema from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Reads an instance of InstanceTypeSchemaResources from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Reads an instance of JobBaseProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Reads an instance of JobBaseResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.JobInput: Reads an instance of JobInput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.JobLimits: Reads an instance of JobLimits from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.JobOutput: Reads an instance of JobOutput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.JobResourceConfiguration: Reads an instance of JobResourceConfiguration from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.JobScheduleAction: Reads an instance of JobScheduleAction from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.JobService: Reads an instance of JobService from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Reads an instance of Kubernetes from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Reads an instance of KubernetesOnlineDeployment from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Reads an instance of KubernetesProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.KubernetesSchema: Reads an instance of KubernetesSchema from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.LakeHouseArtifact: Reads an instance of LakeHouseArtifact from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ListAmlUserFeatureResult: Reads an instance of ListAmlUserFeatureResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ListUsagesResult: Reads an instance of ListUsagesResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ListWorkspaceQuotas: Reads an instance of ListWorkspaceQuotas from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.LiteralJobInput: Reads an instance of LiteralJobInput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedComputeIdentity: Reads an instance of ManagedComputeIdentity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Reads an instance of ManagedIdentity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Reads an instance of ManagedIdentityAuthTypeWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Reads an instance of ManagedIdentityCredential from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedNetworkProvisionOptions: Reads an instance of ManagedNetworkProvisionOptions from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Reads an instance of ManagedOnlineDeployment from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Reads an instance of ManagedServiceIdentity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MarketplacePlan: Reads an instance of MarketplacePlan from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProperties: Reads an instance of MarketplaceSubscriptionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionResourceArmPaginatedResult: Reads an instance of MarketplaceSubscriptionResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MaterializationComputeResource: Reads an instance of MaterializationComputeResource from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Reads an instance of MaterializationSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MedianStoppingPolicy: Reads an instance of MedianStoppingPolicy from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Reads an instance of MLFlowModelJobInput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Reads an instance of MLFlowModelJobOutput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Reads an instance of MLTableData from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Reads an instance of MLTableJobInput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Reads an instance of MLTableJobOutput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ModelContainerProperties: Reads an instance of ModelContainerProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Reads an instance of ModelContainerResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ModelSettings: Reads an instance of ModelSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Reads an instance of ModelVersionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Reads an instance of ModelVersionResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeConfigurationBase: Reads an instance of MonitorComputeConfigurationBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeIdentityBase: Reads an instance of MonitorComputeIdentityBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitorDefinition: Reads an instance of MonitorDefinition from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitorEmailNotificationSettings: Reads an instance of MonitorEmailNotificationSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureFilterBase: Reads an instance of MonitoringFeatureFilterBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Reads an instance of MonitoringInputDataBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalBase: Reads an instance of MonitoringSignalBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringTarget: Reads an instance of MonitoringTarget from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringThreshold: Reads an instance of MonitoringThreshold from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitorNotificationSettings: Reads an instance of MonitorNotificationSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitorServerlessSparkCompute: Reads an instance of MonitorServerlessSparkCompute from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Mpi: Reads an instance of Mpi from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NCrossValidations: Reads an instance of NCrossValidations from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Reads an instance of NlpVertical from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalFeaturizationSettings: Reads an instance of NlpVerticalFeaturizationSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Reads an instance of NlpVerticalLimitSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Nodes: Reads an instance of Nodes from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Reads an instance of NodeStateCounts from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Reads an instance of NoneAuthTypeWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NoneDatastoreCredentials: Reads an instance of NoneDatastoreCredentials from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Reads an instance of NotebookPreparationError from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NotificationSetting: Reads an instance of NotificationSetting from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetricThreshold: Reads an instance of NumericalDataDriftMetricThreshold from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetricThreshold: Reads an instance of NumericalDataQualityMetricThreshold from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetricThreshold: Reads an instance of NumericalPredictionDriftMetricThreshold from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Reads an instance of OAuth2AuthTypeWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Objective: Reads an instance of Objective from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OneLakeArtifact: Reads an instance of OneLakeArtifact from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Reads an instance of OneLakeDatastore from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Reads an instance of OnlineDeploymentProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Reads an instance of OnlineDeploymentTrackedResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Reads an instance of OnlineEndpointProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Reads an instance of OnlineEndpointTrackedResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Reads an instance of OnlineRequestSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OnlineScaleSettings: Reads an instance of OnlineScaleSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OperationDisplay: Reads an instance of OperationDisplay from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OperationListResult: Reads an instance of OperationListResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OutboundRule: Reads an instance of OutboundRule from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OutboundRuleListResult: Reads an instance of OutboundRuleListResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Reads an instance of OutputPathAssetReference from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Reads an instance of PaginatedComputeResourcesList from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Reads an instance of PartialBatchDeployment from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties: Reads an instance of PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Reads an instance of PartialManagedServiceIdentity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResource: Reads an instance of PartialMinimalTrackedResource from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithIdentity: Reads an instance of PartialMinimalTrackedResourceWithIdentity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSku: Reads an instance of PartialMinimalTrackedResourceWithSku from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSkuAndIdentity: Reads an instance of PartialMinimalTrackedResourceWithSkuAndIdentity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PartialRegistryPartialTrackedResource: Reads an instance of PartialRegistryPartialTrackedResource from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Reads an instance of PartialSku from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Password: Reads an instance of Password from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Reads an instance of PatAuthTypeWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PendingUploadCredentialDto: Reads an instance of PendingUploadCredentialDto from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PendingUploadRequestDto: Reads an instance of PendingUploadRequestDto from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PersonalComputeInstanceSettings: Reads an instance of PersonalComputeInstanceSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Reads an instance of PipelineJob from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMetricThresholdBase: Reads an instance of PredictionDriftMetricThresholdBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Reads an instance of PredictionDriftMonitoringSignal from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpoint: Reads an instance of PrivateEndpoint from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionListResult: Reads an instance of PrivateEndpointConnectionListResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination: Reads an instance of PrivateEndpointDestination from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointOutboundRule: Reads an instance of PrivateEndpointOutboundRule from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointResource: Reads an instance of PrivateEndpointResource from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Reads an instance of PrivateLinkResource from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Reads an instance of PrivateLinkServiceConnectionState from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Reads an instance of ProbeSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.PyTorch: Reads an instance of PyTorch from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.QueueSettings: Reads an instance of QueueSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Reads an instance of QuotaBaseProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Reads an instance of QuotaUpdateParameters from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Reads an instance of RandomSamplingAlgorithm from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Reads an instance of Recurrence from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Reads an instance of RecurrenceSchedule from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Reads an instance of RecurrenceTrigger from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Reads an instance of RegenerateEndpointKeysRequest from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Reads an instance of RegistryListCredentialsResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RegistryPartialManagedServiceIdentity: Reads an instance of RegistryPartialManagedServiceIdentity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Reads an instance of RegistryPrivateEndpointConnection from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateLinkServiceConnectionState: Reads an instance of RegistryPrivateLinkServiceConnectionState from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RegistryRegionArmDetails: Reads an instance of RegistryRegionArmDetails from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RegistryTrackedResourceArmPaginatedResult: Reads an instance of RegistryTrackedResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Regression: Reads an instance of Regression from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Reads an instance of RegressionTrainingSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RequestLogging: Reads an instance of RequestLogging from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Reads an instance of ResourceBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Reads an instance of ResourceConfiguration from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ResourceId: Reads an instance of ResourceId from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ResourceName: Reads an instance of ResourceName from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Reads an instance of RollingInputData from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Route: Reads an instance of Route from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithm: Reads an instance of SamplingAlgorithm from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Reads an instance of SasAuthTypeWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SasCredential: Reads an instance of SasCredential from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SasCredentialDto: Reads an instance of SasCredentialDto from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreCredentials: Reads an instance of SasDatastoreCredentials from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreSecrets: Reads an instance of SasDatastoreSecrets from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Reads an instance of ScaleSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ScaleSettingsInformation: Reads an instance of ScaleSettingsInformation from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleActionBase: Reads an instance of ScheduleActionBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Reads an instance of ScheduleBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Reads an instance of ScheduleProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleResourceArmPaginatedResult: Reads an instance of ScheduleResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Reads an instance of ScriptReference from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Reads an instance of ScriptsToExecute from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Seasonality: Reads an instance of Seasonality from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ServerlessComputeSettings: Reads an instance of ServerlessComputeSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Reads an instance of ServerlessEndpointProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointTrackedResourceArmPaginatedResult: Reads an instance of ServerlessEndpointTrackedResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ServerlessInferenceEndpoint: Reads an instance of ServerlessInferenceEndpoint from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ServiceManagedResourcesSettings: Reads an instance of ServiceManagedResourcesSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Reads an instance of ServicePrincipalAuthTypeWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Reads an instance of ServicePrincipalDatastoreCredentials from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreSecrets: Reads an instance of ServicePrincipalDatastoreSecrets from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Reads an instance of ServiceTagDestination from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.ServiceTagOutboundRule: Reads an instance of ServiceTagOutboundRule from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SetupScripts: Reads an instance of SetupScripts from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Reads an instance of SharedPrivateLinkResource from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Sku: Reads an instance of Sku from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Reads an instance of SkuCapacity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Reads an instance of SkuResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SkuSetting: Reads an instance of SkuSetting from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Reads an instance of SparkJob from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SparkJobEntry: Reads an instance of SparkJobEntry from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SparkJobPythonEntry: Reads an instance of SparkJobPythonEntry from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SparkJobScalaEntry: Reads an instance of SparkJobScalaEntry from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SparkResourceConfiguration: Reads an instance of SparkResourceConfiguration from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Reads an instance of SslConfiguration from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Reads an instance of StackEnsembleSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Reads an instance of StaticInputData from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.StorageAccountDetails: Reads an instance of StorageAccountDetails from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Reads an instance of SweepJob from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Reads an instance of SweepJobLimits from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Reads an instance of SynapseSpark from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Reads an instance of SynapseSparkProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedAcrAccount: Reads an instance of SystemCreatedAcrAccount from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Reads an instance of SystemCreatedStorageAccount from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.SystemService: Reads an instance of SystemService from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Reads an instance of TableVertical from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Reads an instance of TableVerticalFeaturizationSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Reads an instance of TableVerticalLimitSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TargetLags: Reads an instance of TargetLags from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSize: Reads an instance of TargetRollingWindowSize from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Reads an instance of TargetUtilizationScaleSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Reads an instance of TensorFlow from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Reads an instance of TextClassification from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Reads an instance of TextClassificationMultilabel from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TextNer: Reads an instance of TextNer from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TmpfsOptions: Reads an instance of TmpfsOptions from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TopNFeaturesByAttribution: Reads an instance of TopNFeaturesByAttribution from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Reads an instance of TrainingSettings from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Reads an instance of TrialComponent from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TriggerBase: Reads an instance of TriggerBase from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Reads an instance of TritonModelJobInput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Reads an instance of TritonModelJobOutput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Reads an instance of TruncationSelectionPolicy from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Reads an instance of UpdateWorkspaceQuotas from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Reads an instance of UriFileDataVersion from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Reads an instance of UriFileJobInput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Reads an instance of UriFileJobOutput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Reads an instance of UriFolderDataVersion from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Reads an instance of UriFolderJobInput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Reads an instance of UriFolderJobOutput from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UsageName: Reads an instance of UsageName from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Reads an instance of UserAccountCredentials from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UserAssignedIdentity: Reads an instance of UserAssignedIdentity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UserCreatedAcrAccount: Reads an instance of UserCreatedAcrAccount from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UserCreatedStorageAccount: Reads an instance of UserCreatedStorageAccount from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UserIdentity: Reads an instance of UserIdentity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Reads an instance of UsernamePasswordAuthTypeWorkspaceConnectionProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Reads an instance of VirtualMachine from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineImage: Reads an instance of VirtualMachineImage from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchema: Reads an instance of VirtualMachineSchema from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Reads an instance of VirtualMachineSchemaProperties from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecrets: Reads an instance of VirtualMachineSecrets from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecretsSchema: Reads an instance of VirtualMachineSecretsSchema from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Reads an instance of VirtualMachineSize from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Reads an instance of VirtualMachineSshCredentials from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Reads an instance of VolumeDefinition from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.VolumeOptions: Reads an instance of VolumeOptions from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.Webhook: Reads an instance of Webhook from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccessKey: Reads an instance of WorkspaceConnectionAccessKey from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccountKey: Reads an instance of WorkspaceConnectionAccountKey from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionApiKey: Reads an instance of WorkspaceConnectionApiKey from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionManagedIdentity: Reads an instance of WorkspaceConnectionManagedIdentity from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Reads an instance of WorkspaceConnectionOAuth2 from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPersonalAccessToken: Reads an instance of WorkspaceConnectionPersonalAccessToken from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Reads an instance of WorkspaceConnectionPropertiesV2 from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult: Reads an instance of WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionServicePrincipal: Reads an instance of WorkspaceConnectionServicePrincipal from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionSharedAccessSignature: Reads an instance of WorkspaceConnectionSharedAccessSignature from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionUsernamePassword: Reads an instance of WorkspaceConnectionUsernamePassword from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceHubConfig: Reads an instance of WorkspaceHubConfig from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Reads an instance of WorkspaceListResult from the JsonReader.
fromJson(JsonReader) - Static method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Reads an instance of WorkspaceUpdateParameters from the JsonReader.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ActionType: Creates or finds a ActionType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.AllocationState: Creates or finds a AllocationState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ApplicationSharingPolicy: Creates or finds a ApplicationSharingPolicy from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.AssetProvisioningState: Creates or finds a AssetProvisioningState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.AutoRebuildSetting: Creates or finds a AutoRebuildSetting from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Autosave: Creates or finds a Autosave from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentConfigurationType: Creates or finds a BatchDeploymentConfigurationType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel: Creates or finds a BatchLoggingLevel from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.BatchOutputAction: Creates or finds a BatchOutputAction from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.BillingCurrency: Creates or finds a BillingCurrency from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Creates or finds a BlockedTransformers from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Caching: Creates or finds a Caching from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetric: Creates or finds a CategoricalDataDriftMetric from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetric: Creates or finds a CategoricalDataQualityMetric from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetric: Creates or finds a CategoricalPredictionDriftMetric from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Creates or finds a ClassificationModels from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Creates or finds a ClassificationMultilabelPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Creates or finds a ClassificationPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ClusterPurpose: Creates or finds a ClusterPurpose from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceAuthorizationType: Creates or finds a ComputeInstanceAuthorizationType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Creates or finds a ComputeInstanceState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputePowerAction: Creates or finds a ComputePowerAction from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceFrequency: Creates or finds a ComputeRecurrenceFrequency from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeTriggerType: Creates or finds a ComputeTriggerType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeType: Creates or finds a ComputeType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeWeekDay: Creates or finds a ComputeWeekDay from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Creates or finds a ConnectionAuthType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Creates or finds a ConnectionCategory from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ConnectionGroup: Creates or finds a ConnectionGroup from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ContainerType: Creates or finds a ContainerType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ContentSafetyStatus: Creates or finds a ContentSafetyStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Creates or finds a CredentialsType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DataAvailabilityStatus: Creates or finds a DataAvailabilityStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DataCollectionMode: Creates or finds a DataCollectionMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DataReferenceCredentialType: Creates or finds a DataReferenceCredentialType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Creates or finds a DatastoreType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DataType: Creates or finds a DataType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Creates or finds a DeploymentProvisioningState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel: Creates or finds a DiagnoseResultLevel from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.DistributionType: Creates or finds a DistributionType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType: Creates or finds a EarlyTerminationPolicyType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EgressPublicNetworkAccessType: Creates or finds a EgressPublicNetworkAccessType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EmailNotificationEnableType: Creates or finds a EmailNotificationEnableType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EncryptionStatus: Creates or finds a EncryptionStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode: Creates or finds a EndpointAuthMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointComputeType: Creates or finds a EndpointComputeType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Creates or finds a EndpointProvisioningState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointServiceConnectionStatus: Creates or finds a EndpointServiceConnectionStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EnvironmentType: Creates or finds a EnvironmentType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariableType: Creates or finds a EnvironmentVariableType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetric: Creates or finds a FeatureAttributionMetric from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureDataType: Creates or finds a FeatureDataType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureImportanceMode: Creates or finds a FeatureImportanceMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureLags: Creates or finds a FeatureLags from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturizationMode: Creates or finds a FeaturizationMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastHorizonMode: Creates or finds a ForecastHorizonMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Creates or finds a ForecastingModels from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Creates or finds a ForecastingPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Goal: Creates or finds a Goal from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType: Creates or finds a IdentityConfigurationType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ImageType: Creates or finds a ImageType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Creates or finds a InputDeliveryMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.InstanceSegmentationPrimaryMetrics: Creates or finds a InstanceSegmentationPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.IsolationMode: Creates or finds a IsolationMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.JobInputType: Creates or finds a JobInputType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.JobLimitsType: Creates or finds a JobLimitsType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Creates or finds a JobOutputType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.JobStatus: Creates or finds a JobStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.JobTier: Creates or finds a JobTier from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.JobType: Creates or finds a JobType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.KeyType: Creates or finds a KeyType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler: Creates or finds a LearningRateScheduler from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ListViewType: Creates or finds a ListViewType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.LoadBalancerType: Creates or finds a LoadBalancerType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Creates or finds a LogVerbosity from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedNetworkStatus: Creates or finds a ManagedNetworkStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Creates or finds a ManagedServiceIdentityType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProvisioningState: Creates or finds a MarketplaceSubscriptionProvisioningState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionStatus: Creates or finds a MarketplaceSubscriptionStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MaterializationStoreType: Creates or finds a MaterializationStoreType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ModelSize: Creates or finds a ModelSize from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ModelTaskType: Creates or finds a ModelTaskType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeIdentityType: Creates or finds a MonitorComputeIdentityType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeType: Creates or finds a MonitorComputeType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureDataType: Creates or finds a MonitoringFeatureDataType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureFilterType: Creates or finds a MonitoringFeatureFilterType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataType: Creates or finds a MonitoringInputDataType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringNotificationType: Creates or finds a MonitoringNotificationType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalType: Creates or finds a MonitoringSignalType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MountAction: Creates or finds a MountAction from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.MountState: Creates or finds a MountState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.NCrossValidationsMode: Creates or finds a NCrossValidationsMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Network: Creates or finds a Network from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.NodeState: Creates or finds a NodeState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.NodesValueType: Creates or finds a NodesValueType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetric: Creates or finds a NumericalDataDriftMetric from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetric: Creates or finds a NumericalDataQualityMetric from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetric: Creates or finds a NumericalPredictionDriftMetric from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ObjectDetectionPrimaryMetrics: Creates or finds a ObjectDetectionPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OneLakeArtifactType: Creates or finds a OneLakeArtifactType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OperatingSystemType: Creates or finds a OperatingSystemType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OperationName: Creates or finds a OperationName from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Creates or finds a OperationStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OperationTrigger: Creates or finds a OperationTrigger from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OrderString: Creates or finds a OrderString from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Origin: Creates or finds a Origin from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OsType: Creates or finds a OsType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.OutputDeliveryMode: Creates or finds a OutputDeliveryMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.PendingUploadCredentialType: Creates or finds a PendingUploadCredentialType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.PendingUploadType: Creates or finds a PendingUploadType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Creates or finds a PrivateEndpointConnectionProvisioningState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Creates or finds a PrivateEndpointServiceConnectionStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Protocol: Creates or finds a Protocol from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Creates or finds a ProvisioningState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus: Creates or finds a ProvisioningStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccess: Creates or finds a PublicNetworkAccess from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccessType: Creates or finds a PublicNetworkAccessType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.QuotaUnit: Creates or finds a QuotaUnit from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithmRule: Creates or finds a RandomSamplingAlgorithmRule from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Creates or finds a RecurrenceFrequency from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ReferenceType: Creates or finds a ReferenceType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Creates or finds a RegressionModels from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Creates or finds a RegressionPrimaryMetrics from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess: Creates or finds a RemoteLoginPortPublicAccess from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RollingRateType: Creates or finds a RollingRateType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RuleAction: Creates or finds a RuleAction from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RuleCategory: Creates or finds a RuleCategory from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RuleStatus: Creates or finds a RuleStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.RuleType: Creates or finds a RuleType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType: Creates or finds a SamplingAlgorithmType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ScaleType: Creates or finds a ScaleType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleActionType: Creates or finds a ScheduleActionType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleListViewType: Creates or finds a ScheduleListViewType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningState: Creates or finds a ScheduleProvisioningState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningStatus: Creates or finds a ScheduleProvisioningStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleStatus: Creates or finds a ScheduleStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SeasonalityMode: Creates or finds a SeasonalityMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SecretsType: Creates or finds a SecretsType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Creates or finds a ServerlessEndpointState from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ServerlessInferenceEndpointAuthMode: Creates or finds a ServerlessInferenceEndpointAuthMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity: Creates or finds a ServiceDataAccessAuthIdentity from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Creates or finds a ShortSeriesHandlingConfiguration from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SkuScaleType: Creates or finds a SkuScaleType from its string representation.
fromString(String) - Static method in enum com.azure.resourcemanager.machinelearning.models.SkuTier: Parses a serialized value to a SkuTier instance.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SourceType: Creates or finds a SourceType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SparkJobEntryType: Creates or finds a SparkJobEntryType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SshPublicAccess: Creates or finds a SshPublicAccess from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.SslConfigStatus: Creates or finds a SslConfigStatus from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Creates or finds a StackMetaLearnerType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.Status: Creates or finds a Status from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Creates or finds a StochasticOptimizer from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.StorageAccountType: Creates or finds a StorageAccountType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Creates or finds a TargetAggregationFunction from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.TargetLagsMode: Creates or finds a TargetLagsMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSizeMode: Creates or finds a TargetRollingWindowSizeMode from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.TaskType: Creates or finds a TaskType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.TriggerType: Creates or finds a TriggerType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.UnderlyingResourceAction: Creates or finds a UnderlyingResourceAction from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.UnitOfMeasure: Creates or finds a UnitOfMeasure from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.UsageUnit: Creates or finds a UsageUnit from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.UseStl: Creates or finds a UseStl from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Creates or finds a ValidationMetricType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.ValueFormat: Creates or finds a ValueFormat from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.VMPriceOSType: Creates or finds a VMPriceOSType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.VmPriority: Creates or finds a VmPriority from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.VMTier: Creates or finds a VMTier from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinitionType: Creates or finds a VolumeDefinitionType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.WebhookType: Creates or finds a WebhookType from its string representation.
fromString(String) - Static method in class com.azure.resourcemanager.machinelearning.models.WeekDay: Creates or finds a WeekDay from its string representation.
FTP_SERVER - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value FtpServer for ConnectionCategory.

G

GENERIC_CONTAINER_REGISTRY - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value GenericContainerRegistry for ConnectionCategory.
GENERIC_HTTP - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value GenericHttp for ConnectionCategory.
GENERIC_PROTOCOL - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionGroup: Static value GenericProtocol for ConnectionGroup.
GENERIC_REST - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value GenericRest for ConnectionCategory.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Gets a batch inference endpoint by name.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets compute definition by its name.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Get datastore.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Gets a Job by name/id.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Gets an outbound rule from the managed network of a machine learning workspace.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Get Online Endpoint.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Gets the specified private endpoint connection associated with the workspace.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: Get Code container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: Get schedule.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Get Serverless Endpoint.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: The get operation.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Gets a batch inference endpoint by name.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets compute definition by its name.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Gets a Job by name/id.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettingsRules: Gets an outbound rule from the managed network of a machine learning workspace.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptions: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Get Online Endpoint.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Gets the specified private endpoint connection associated with the workspace.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeContainers: Get Code container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelContainers: Get container.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedules: Get schedule.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: Get Serverless Endpoint.
get(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: The get operation.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Gets a batch inference deployment by id.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Get Inference Deployment Deployment.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Gets a batch inference deployment by id.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Get Inference Deployment Deployment.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentVersions: Get version.
get(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelVersions: Get version.
get(String, String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesClient: Get feature.
get(String, String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Features: Get feature.
getApiVersion() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets Api Version.
getBatchDeployments() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the BatchDeploymentsClient object to access its operations.
getBatchEndpoints() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the BatchEndpointsClient object to access its operations.
GetBlobReferenceForConsumptionDto - Class in com.azure.resourcemanager.machinelearning.models: The GetBlobReferenceForConsumptionDto model.
GetBlobReferenceForConsumptionDto() - Constructor for class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceForConsumptionDto: Creates an instance of GetBlobReferenceForConsumptionDto class.
getBlobReferenceSas(String, String, String, String, GetBlobReferenceSasRequestDto) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataReferencesClient: Get blob reference SAS Uri.
getBlobReferenceSas(String, String, String, String, GetBlobReferenceSasRequestDto) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataReferences: Get blob reference SAS Uri.
GetBlobReferenceSasRequestDto - Class in com.azure.resourcemanager.machinelearning.models: BlobReferenceSASRequest for getBlobReferenceSAS API.
GetBlobReferenceSasRequestDto() - Constructor for class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceSasRequestDto: Creates an instance of GetBlobReferenceSasRequestDto class.
GetBlobReferenceSasResponseDto - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of GetBlobReferenceSasResponseDto.
GetBlobReferenceSasResponseDtoInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: BlobReferenceSASResponse for getBlobReferenceSAS API.
GetBlobReferenceSasResponseDtoInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.GetBlobReferenceSasResponseDtoInner: Creates an instance of GetBlobReferenceSasResponseDtoInner class.
getBlobReferenceSasWithResponse(String, String, String, String, GetBlobReferenceSasRequestDto, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataReferencesClient: Get blob reference SAS Uri.
getBlobReferenceSasWithResponse(String, String, String, String, GetBlobReferenceSasRequestDto, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataReferences: Get blob reference SAS Uri.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Gets a batch inference deployment by id.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Gets a batch inference endpoint by name.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Get container.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Get container.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets compute definition by its name.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Get container.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Get container.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Gets a Job by name/id.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettingsRules: Gets an outbound rule from the managed network of a machine learning workspace.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptions: Get container.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Get container.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Get version.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Get Inference Deployment Deployment.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Get Online Endpoint.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Gets the specified private endpoint connection associated with the workspace.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: Get registry.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedules: Get schedule.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: Get Serverless Endpoint.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: The get operation.
getById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Gets the properties of the specified machine learning workspace.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Gets a batch inference deployment by id.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Gets a batch inference endpoint by name.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Get container.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Get container.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets compute definition by its name.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Get container.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Get container.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Gets a Job by name/id.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettingsRules: Gets an outbound rule from the managed network of a machine learning workspace.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptions: Get container.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Get container.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Get version.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Get Inference Deployment Deployment.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Get Online Endpoint.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Gets the specified private endpoint connection associated with the workspace.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: Get registry.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedules: Get schedule.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: Get Serverless Endpoint.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: The get operation.
getByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Gets the properties of the specified machine learning workspace.
getByResourceGroup(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Get registry.
getByResourceGroup(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Gets the properties of the specified machine learning workspace.
getByResourceGroup(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: Get registry.
getByResourceGroup(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Gets the properties of the specified machine learning workspace.
getByResourceGroupWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Get registry.
getByResourceGroupWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Gets the properties of the specified machine learning workspace.
getByResourceGroupWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: Get registry.
getByResourceGroupWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Gets the properties of the specified machine learning workspace.
getCodeContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the CodeContainersClient object to access its operations.
getCodeVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the CodeVersionsClient object to access its operations.
getComponentContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ComponentContainersClient object to access its operations.
getComponentVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ComponentVersionsClient object to access its operations.
getComputes() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ComputesClient object to access its operations.
getDataContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the DataContainersClient object to access its operations.
getDatastores() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the DatastoresClient object to access its operations.
getDataVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the DataVersionsClient object to access its operations.
getDefaultPollInterval() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets The default poll interval for long-running operation.
getEndpoint() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets server parameter.
getEntity(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: Get container.
getEntity(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: Get container.
getEntity(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainers: Get container.
getEntity(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainers: Get container.
getEntityById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainers: Get container.
getEntityById(String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainers: Get container.
getEntityByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainers: Get container.
getEntityByIdWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainers: Get container.
getEntityWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: Get container.
getEntityWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: Get container.
getEntityWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainers: Get container.
getEntityWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainers: Get container.
getEnvironmentContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the EnvironmentContainersClient object to access its operations.
getEnvironmentVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the EnvironmentVersionsClient object to access its operations.
getFeatures() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the FeaturesClient object to access its operations.
getFeaturesetContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the FeaturesetContainersClient object to access its operations.
getFeaturesetVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the FeaturesetVersionsClient object to access its operations.
getFeaturestoreEntityContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the FeaturestoreEntityContainersClient object to access its operations.
getFeaturestoreEntityVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the FeaturestoreEntityVersionsClient object to access its operations.
getHttpPipeline() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets The HTTP pipeline to send requests through.
getJobs() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the JobsClient object to access its operations.
getLogs(DeploymentLogsRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Polls an Endpoint operation.
getLogs(String, String, String, String, DeploymentLogsRequest) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Polls an Endpoint operation.
getLogs(String, String, String, String, DeploymentLogsRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Polls an Endpoint operation.
getLogsWithResponse(DeploymentLogsRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Polls an Endpoint operation.
getLogsWithResponse(String, String, String, String, DeploymentLogsRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Polls an Endpoint operation.
getLogsWithResponse(String, String, String, String, DeploymentLogsRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Polls an Endpoint operation.
getManagedNetworkProvisions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ManagedNetworkProvisionsClient object to access its operations.
getManagedNetworkSettingsRules() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ManagedNetworkSettingsRulesClient object to access its operations.
getMarketplaceSubscriptions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the MarketplaceSubscriptionsClient object to access its operations.
getModelContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ModelContainersClient object to access its operations.
getModelVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ModelVersionsClient object to access its operations.
getOnlineDeployments() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the OnlineDeploymentsClient object to access its operations.
getOnlineEndpoints() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the OnlineEndpointsClient object to access its operations.
getOperations() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the OperationsClient object to access its operations.
getPrivateEndpointConnections() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the PrivateEndpointConnectionsClient object to access its operations.
getPrivateLinkResources() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the PrivateLinkResourcesClient object to access its operations.
getQuotas() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the QuotasClient object to access its operations.
getRegistries() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistriesClient object to access its operations.
getRegistryCodeContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistryCodeContainersClient object to access its operations.
getRegistryCodeVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistryCodeVersionsClient object to access its operations.
getRegistryComponentContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistryComponentContainersClient object to access its operations.
getRegistryComponentVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistryComponentVersionsClient object to access its operations.
getRegistryDataContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistryDataContainersClient object to access its operations.
getRegistryDataReferences() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistryDataReferencesClient object to access its operations.
getRegistryDataVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistryDataVersionsClient object to access its operations.
getRegistryEnvironmentContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistryEnvironmentContainersClient object to access its operations.
getRegistryEnvironmentVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistryEnvironmentVersionsClient object to access its operations.
getRegistryModelContainers() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistryModelContainersClient object to access its operations.
getRegistryModelVersions() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the RegistryModelVersionsClient object to access its operations.
getSchedules() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the SchedulesClient object to access its operations.
getServerlessEndpoints() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the ServerlessEndpointsClient object to access its operations.
getSubscriptionId() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets The ID of the target subscription.
getToken() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Retrieve a valid AML token for an Endpoint using AMLToken-based authentication.
getToken(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Retrieve a valid AML token for an Endpoint using AMLToken-based authentication.
getToken(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Retrieve a valid AML token for an Endpoint using AMLToken-based authentication.
getTokenWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Retrieve a valid AML token for an Endpoint using AMLToken-based authentication.
getTokenWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Retrieve a valid AML token for an Endpoint using AMLToken-based authentication.
getTokenWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Retrieve a valid AML token for an Endpoint using AMLToken-based authentication.
getUsages() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the UsagesClient object to access its operations.
getVirtualMachineSizes() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the VirtualMachineSizesClient object to access its operations.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Gets a batch inference endpoint by name.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets compute definition by its name.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Get datastore.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Gets a Job by name/id.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Gets an outbound rule from the managed network of a machine learning workspace.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Get Online Endpoint.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: Gets the specified private endpoint connection associated with the workspace.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: Get Code container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: Get schedule.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Get Serverless Endpoint.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: The get operation.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Gets a batch inference endpoint by name.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets compute definition by its name.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Gets a Job by name/id.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettingsRules: Gets an outbound rule from the managed network of a machine learning workspace.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptions: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Get Online Endpoint.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: Gets the specified private endpoint connection associated with the workspace.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeContainers: Get Code container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelContainers: Get container.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedules: Get schedule.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: Get Serverless Endpoint.
getWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: The get operation.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Gets a batch inference deployment by id.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Get Inference Deployment Deployment.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Gets a batch inference deployment by id.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: Get Inference Deployment Deployment.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentVersions: Get version.
getWithResponse(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelVersions: Get version.
getWithResponse(String, String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesClient: Get feature.
getWithResponse(String, String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Features: Get feature.
getWorkspaceConnections() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the WorkspaceConnectionsClient object to access its operations.
getWorkspaceFeatures() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the WorkspaceFeaturesClient object to access its operations.
getWorkspaces() - Method in interface com.azure.resourcemanager.machinelearning.fluent.AzureMachineLearningWorkspaces: Gets the WorkspacesClient object to access its operations.
GIT - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Git for ConnectionCategory.
goal() - Method in class com.azure.resourcemanager.machinelearning.models.Objective: Get the goal property: [Required] Defines supported metric goals for hyperparameter tuning.
Goal - Class in com.azure.resourcemanager.machinelearning.models: Defines supported metric goals for hyperparameter tuning.
Goal() - Constructor for class com.azure.resourcemanager.machinelearning.models.Goal: Deprecated.
Use the Goal.fromString(String) factory method.
GOOGLE_AD_WORDS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value GoogleAdWords for ConnectionCategory.
GOOGLE_BIG_QUERY - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value GoogleBigQuery for ConnectionCategory.
GOOGLE_CLOUD_STORAGE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value GoogleCloudStorage for ConnectionCategory.
gpu() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the gpu property: Information of GPU.
gpu() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Get the gpu property: Number of Nvidia GPU cards request/limit for container.
gpus() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the gpus property: The number of gPUs supported by the virtual machine size.
GRADIENT_BOOSTING - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value GradientBoosting for ClassificationModels.
GRADIENT_BOOSTING - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value GradientBoosting for ForecastingModels.
GRADIENT_BOOSTING - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value GradientBoosting for RegressionModels.
gradientAccumulationStep() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep" steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
gradientAccumulationStep() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep" steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
GREENPLUM - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Greenplum for ConnectionCategory.
GRID - Static variable in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType: Static value Grid for SamplingAlgorithmType.
GridSamplingAlgorithm - Class in com.azure.resourcemanager.machinelearning.models: Defines a Sampling Algorithm that exhaustively generates every value combination in the space.
GridSamplingAlgorithm() - Constructor for class com.azure.resourcemanager.machinelearning.models.GridSamplingAlgorithm: Creates an instance of GridSamplingAlgorithm class.
group() - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Get the group property: Group based on connection category.
group() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Get the group property: Group based on connection category.
groupId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Get the groupId property: The private link resource group id.
groupId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Get the groupId property: The private link resource group id.
groupId() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the groupId property: The private link resource group id.
groupId() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Get the groupId property: The private link resource group id.
groupIds() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties: Get the groupIds property: The group ids.
groupIds() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Get the groupIds property: The group ids.

H

HASH_ONE_HOT_ENCODER - Static variable in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Static value HashOneHotEncoder for BlockedTransformers.
HBASE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Hbase for ConnectionCategory.
hbiWorkspace() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
hbiWorkspace() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
hbiWorkspace() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
hbiWorkspace() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
HDFS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Hdfs for ConnectionCategory.
HDInsight - Class in com.azure.resourcemanager.machinelearning.models: A HDInsight compute.
HDInsight() - Constructor for class com.azure.resourcemanager.machinelearning.models.HDInsight: Creates an instance of HDInsight class.
HDINSIGHT - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value HDInsight for ComputeType.
HDInsightProperties - Class in com.azure.resourcemanager.machinelearning.models: HDInsight compute properties.
HDInsightProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Creates an instance of HDInsightProperties class.
HDInsightSchema - Class in com.azure.resourcemanager.machinelearning.models: The HDInsightSchema model.
HDInsightSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.HDInsightSchema: Creates an instance of HDInsightSchema class.
headers() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessInferenceEndpoint: Get the headers property: Specifies any required headers to target this serverless endpoint.
HIVE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Hive for ConnectionCategory.
HOST - Static variable in class com.azure.resourcemanager.machinelearning.models.Network: Static value Host for Network.
hostIp() - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Get the hostIp property: Host IP over which the application is exposed from the container.
hostname() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the hostname property: The hostName property.
hostname() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the hostname property: The hostName property.
HOUR - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceFrequency: Static value Hour for ComputeRecurrenceFrequency.
HOUR - Static variable in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Static value Hour for RecurrenceFrequency.
HOUR - Static variable in class com.azure.resourcemanager.machinelearning.models.RollingRateType: Static value Hour for RollingRateType.
hours() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule: Get the hours property: [Required] List of hours for the schedule.
hours() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Get the hours property: [Required] List of hours for the schedule.
HTTP - Static variable in class com.azure.resourcemanager.machinelearning.models.Protocol: Static value http for Protocol.
hubResourceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the hubResourceId property: The hubResourceId property.
hubResourceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the hubResourceId property: The hubResourceId property.
hubResourceId() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the hubResourceId property: The hubResourceId property.
hubResourceId() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the hubResourceId property: The hubResourceId property.
HUBSPOT - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Hubspot for ConnectionCategory.

I

id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Get the id property: Specifies the feature ID.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeatureInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetContainerInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityContainerInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityVersionInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.MarketplaceSubscriptionInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OutboundRuleBasicResourceInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the id property: Specifies the resource ID.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ScheduleInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the id property: Specifies the resource ID.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionPropertiesV2BasicResourceInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlUserFeature: Gets the id property: Specifies the feature ID.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the id property: A system assigned id for the schedule.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.Feature: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpoint: Get the id property: The ARM identifier for Private Endpoint.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointResource: Get the id property: The ARM identifier for Private Endpoint.
id() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Get the id property: Specifies the resource ID.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Get the id property: This is the private endpoint connection name created on SRP Full resource id: /subscriptions/{subId}/resourceGroups/{rgName}/providers/Microsoft.MachineLearningServices/{resourceType}/{resourceName}/registryPrivateEndpointConnections/{peConnectionName}.
id() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceId: Get the id property: The ID of the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the id property: Specifies the resource ID.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Get the id property: A system assigned id for the schedule.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Get the id property: Specifies the resource ID.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the id property: Specifies the resource ID.
id() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineImage: Get the id property: Virtual Machine image path.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the id property: Fully qualified resource Id for the resource.
id() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource: Gets the id property: Fully qualified resource Id for the resource.
ID - Static variable in class com.azure.resourcemanager.machinelearning.models.ReferenceType: Static value Id for ReferenceType.
IdAssetReference - Class in com.azure.resourcemanager.machinelearning.models: Reference to an asset via its ARM resource ID.
IdAssetReference() - Constructor for class com.azure.resourcemanager.machinelearning.models.IdAssetReference: Creates an instance of IdAssetReference class.
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the identity property: The identity of the resource.
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the identity property: The identity of the resource.
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the identity property: The identity of the resource.
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the identity property: The identity of the resource.
identity() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Get the identity property: The identity that will be used to access the key vault for encryption at rest.
identity() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Get the identity property: Identity configuration.
identity() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedComputeIdentity: Get the identity property: The identity which will be leveraged by the monitoring jobs.
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithIdentity: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSkuAndIdentity: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in class com.azure.resourcemanager.machinelearning.models.PartialRegistryPartialTrackedResource: Get the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the identity property: The identity of the resource.
identity() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the identity property: The identity of the resource.
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the identity property: Managed service identity (system assigned and/or user assigned identities).
identity() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the identity property: The identity of the resource.
identity() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the identity property: The identity of the resource.
identityClientId() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Get the identityClientId property: For future use - The client id of the identity which will be used to access key vault.
IdentityConfiguration - Class in com.azure.resourcemanager.machinelearning.models: Base definition for identity configuration.
IdentityConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.IdentityConfiguration: Creates an instance of IdentityConfiguration class.
IdentityConfigurationType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine identity framework.
IdentityConfigurationType() - Constructor for class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType: Deprecated.
Use the IdentityConfigurationType.fromString(String) factory method.
IdentityForCmk - Class in com.azure.resourcemanager.machinelearning.models: Identity that will be used to access key vault for encryption at rest.
IdentityForCmk() - Constructor for class com.azure.resourcemanager.machinelearning.models.IdentityForCmk: Creates an instance of IdentityForCmk class.
identityType() - Method in class com.azure.resourcemanager.machinelearning.models.AmlToken: Get the identityType property: [Required] Specifies the type of identity framework.
identityType() - Method in class com.azure.resourcemanager.machinelearning.models.IdentityConfiguration: Get the identityType property: [Required] Specifies the type of identity framework.
identityType() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Get the identityType property: [Required] Specifies the type of identity framework.
identityType() - Method in class com.azure.resourcemanager.machinelearning.models.UserIdentity: Get the identityType property: [Required] Specifies the type of identity framework.
IDLE - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value idle for NodeState.
IDLE_SHUTDOWN - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationTrigger: Static value IdleShutdown for OperationTrigger.
idleNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the idleNodeCount property: Number of compute nodes in idle state.
image() - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Get the image property: Describes the Image Specifications.
image() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Get the image property: Name of the image that will be used for the environment.
Image - Class in com.azure.resourcemanager.machinelearning.models: Describes the Image Specifications.
Image() - Constructor for class com.azure.resourcemanager.machinelearning.models.Image: Creates an instance of Image class.
IMAGE_CLASSIFICATION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value ImageClassification for TaskType.
IMAGE_CLASSIFICATION_MULTILABEL - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value ImageClassificationMultilabel for TaskType.
IMAGE_INSTANCE_SEGMENTATION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value ImageInstanceSegmentation for TaskType.
IMAGE_OBJECT_DETECTION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value ImageObjectDetection for TaskType.
imageBuildCompute() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the imageBuildCompute property: The compute name for image build.
imageBuildCompute() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the imageBuildCompute property: The compute name for image build.
imageBuildCompute() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the imageBuildCompute property: The compute name for image build.
imageBuildCompute() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the imageBuildCompute property: The compute name for image build.
imageBuildCompute() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the imageBuildCompute property: The compute name for image build.
imageBuildCompute() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the imageBuildCompute property: The compute name for image build.
imageBuildCompute() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the imageBuildCompute property: The compute name for image build.
ImageClassification - Class in com.azure.resourcemanager.machinelearning.models: Image Classification.
ImageClassification() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageClassification: Creates an instance of ImageClassification class.
ImageClassificationBase - Class in com.azure.resourcemanager.machinelearning.models: The ImageClassificationBase model.
ImageClassificationBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Creates an instance of ImageClassificationBase class.
ImageClassificationMultilabel - Class in com.azure.resourcemanager.machinelearning.models: Image Classification Multilabel.
ImageClassificationMultilabel() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Creates an instance of ImageClassificationMultilabel class.
ImageInstanceSegmentation - Class in com.azure.resourcemanager.machinelearning.models: Image Instance Segmentation.
ImageInstanceSegmentation() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Creates an instance of ImageInstanceSegmentation class.
ImageLimitSettings - Class in com.azure.resourcemanager.machinelearning.models: Limit settings for the AutoML job.
ImageLimitSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Creates an instance of ImageLimitSettings class.
ImageMetadata - Class in com.azure.resourcemanager.machinelearning.models: Returns metadata about the operating system image for this compute instance.
ImageMetadata() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageMetadata: Creates an instance of ImageMetadata class.
ImageModelDistributionSettings - Class in com.azure.resourcemanager.machinelearning.models: Distribution expressions to sweep over values of model settings.
ImageModelDistributionSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Creates an instance of ImageModelDistributionSettings class.
ImageModelDistributionSettingsClassification - Class in com.azure.resourcemanager.machinelearning.models: Distribution expressions to sweep over values of model settings.
ImageModelDistributionSettingsClassification() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Creates an instance of ImageModelDistributionSettingsClassification class.
ImageModelDistributionSettingsObjectDetection - Class in com.azure.resourcemanager.machinelearning.models: Distribution expressions to sweep over values of model settings.
ImageModelDistributionSettingsObjectDetection() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Creates an instance of ImageModelDistributionSettingsObjectDetection class.
ImageModelSettings - Class in com.azure.resourcemanager.machinelearning.models: Settings used for training the model.
ImageModelSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Creates an instance of ImageModelSettings class.
ImageModelSettingsClassification - Class in com.azure.resourcemanager.machinelearning.models: Settings used for training the model.
ImageModelSettingsClassification() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Creates an instance of ImageModelSettingsClassification class.
ImageModelSettingsObjectDetection - Class in com.azure.resourcemanager.machinelearning.models: Settings used for training the model.
ImageModelSettingsObjectDetection() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Creates an instance of ImageModelSettingsObjectDetection class.
ImageObjectDetection - Class in com.azure.resourcemanager.machinelearning.models: Image Object Detection.
ImageObjectDetection() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Creates an instance of ImageObjectDetection class.
ImageObjectDetectionBase - Class in com.azure.resourcemanager.machinelearning.models: The ImageObjectDetectionBase model.
ImageObjectDetectionBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Creates an instance of ImageObjectDetectionBase class.
imagePullSecretName() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Get the imagePullSecretName property: Image registry pull secret.
imagePullSecretName() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Get the imagePullSecretName property: Image registry pull secret.
imageSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the imageSize property: Image size for train and validation.
imageSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the imageSize property: Image size for train and validation.
ImageSweepSettings - Class in com.azure.resourcemanager.machinelearning.models: Model sweeping and hyperparameter sweeping related settings.
ImageSweepSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Creates an instance of ImageSweepSettings class.
ImageType - Class in com.azure.resourcemanager.machinelearning.models: Type of the image Type of the image.
ImageType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageType: Deprecated.
Use the ImageType.fromString(String) factory method.
ImageVertical - Class in com.azure.resourcemanager.machinelearning.models: Abstract class for AutoML tasks that train image (computer vision) models - such as Image Classification / Image Classification Multilabel / Image Object Detection / Image Instance Segmentation.
ImageVertical() - Constructor for class com.azure.resourcemanager.machinelearning.models.ImageVertical: Creates an instance of ImageVertical class.
IMPALA - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Impala for ConnectionCategory.
IN_PROGRESS - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value InProgress for OperationStatus.
INACTIVE - Static variable in class com.azure.resourcemanager.machinelearning.models.ManagedNetworkStatus: Static value Inactive for ManagedNetworkStatus.
INACTIVE - Static variable in class com.azure.resourcemanager.machinelearning.models.RuleStatus: Static value Inactive for RuleStatus.
includeSpark() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedNetworkProvisionOptions: Get the includeSpark property: The includeSpark property.
INCOMPLETE - Static variable in class com.azure.resourcemanager.machinelearning.models.DataAvailabilityStatus: Static value Incomplete for DataAvailabilityStatus.
IndexColumn - Class in com.azure.resourcemanager.machinelearning.models: DTO object representing index column.
IndexColumn() - Constructor for class com.azure.resourcemanager.machinelearning.models.IndexColumn: Creates an instance of IndexColumn class.
indexColumns() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Get the indexColumns property: Specifies index columns.
INFERENCE_SERVER - Static variable in class com.azure.resourcemanager.machinelearning.models.ContainerType: Static value InferenceServer for ContainerType.
inferenceConfig() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Get the inferenceConfig property: Defines configuration specific to inference.
InferenceContainerProperties - Class in com.azure.resourcemanager.machinelearning.models: The InferenceContainerProperties model.
InferenceContainerProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Creates an instance of InferenceContainerProperties class.
inferenceEndpoint() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Get the inferenceEndpoint property: The inference uri to target when making requests against the serverless endpoint.
INFO - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel: Static value Info for BatchLoggingLevel.
INFO - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value Info for LogVerbosity.
INFORMATION - Static variable in class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel: Static value Information for DiagnoseResultLevel.
INFORMIX - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Informix for ConnectionCategory.
initialDelay() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Get the initialDelay property: The delay before the first probe in ISO 8601 format.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.AmlUserFeature: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeSecrets: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ComputeSecretsInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DataContainerInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DatastoreInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreSecrets: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DatastoreSecretsInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.DeploymentLogs: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthKeys: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthToken: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ExternalFqdnResponse: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.Feature: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.FeatureInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetContainerInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillResponse: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionBackfillResponseInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityContainerInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityVersionInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.GetBlobReferenceSasResponseDto: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.GetBlobReferenceSasResponseDtoInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.JobBaseInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ListNotebookKeysResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ListStorageAccountKeysResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ListStorageAccountKeysResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkProvisionStatus: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkProvisionStatusInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettings: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.MarketplaceSubscriptionInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookResourceInfo: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.Operation: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.OperationInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.OutboundRuleBasicResourceInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.PendingUploadResponseDto: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.PendingUploadResponseDtoInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateLinkResourceListResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ScheduleInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.SkuResource: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotasResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.UsageInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.VirtualMachineSizeListResult: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionPropertiesV2BasicResourceInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner object.
innerModel() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the inner com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner object.
inputAssets() - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Get the inputAssets property: Monitoring assets to take as input.
inputDataType() - Method in class com.azure.resourcemanager.machinelearning.models.FixedInputData: Get the inputDataType property: [Required] Specifies the type of signal to monitor.
inputDataType() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Get the inputDataType property: [Required] Specifies the type of signal to monitor.
inputDataType() - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Get the inputDataType property: [Required] Specifies the type of signal to monitor.
inputDataType() - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Get the inputDataType property: [Required] Specifies the type of signal to monitor.
InputDeliveryMode - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the input data delivery mode.
InputDeliveryMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Deprecated.
Use the InputDeliveryMode.fromString(String) factory method.
inputs() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the inputs property: Mapping of input data bindings used in the job.
inputs() - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Get the inputs property: Extra component parameters to take as input.
inputs() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Get the inputs property: Inputs for the pipeline job.
inputs() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the inputs property: Mapping of input data bindings used in the job.
inputs() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the inputs property: Mapping of input data bindings used in the job.
instanceCount() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Get the instanceCount property: Optional number of instances or nodes used by the compute target.
InstanceSegmentationPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Primary metrics for InstanceSegmentation tasks.
InstanceSegmentationPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.InstanceSegmentationPrimaryMetrics: Deprecated.
Use the InstanceSegmentationPrimaryMetrics.fromString(String) factory method.
instanceType() - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationComputeResource: Get the instanceType property: Specifies the instance type.
instanceType() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorServerlessSparkCompute: Get the instanceType property: [Required] The instance type running the Spark job.
instanceType() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the instanceType property: Compute instance type.
instanceType() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Get the instanceType property: Optional type of VM used as supported by the compute target.
instanceType() - Method in class com.azure.resourcemanager.machinelearning.models.SparkResourceConfiguration: Get the instanceType property: Optional type of VM used as supported by the compute target.
instanceTypes() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the instanceTypes property: Instance Type Schema.
InstanceTypeSchema - Class in com.azure.resourcemanager.machinelearning.models: Instance type schema.
InstanceTypeSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Creates an instance of InstanceTypeSchema class.
InstanceTypeSchemaResources - Class in com.azure.resourcemanager.machinelearning.models: Resource requests/limits for this instance type.
InstanceTypeSchemaResources() - Constructor for class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Creates an instance of InstanceTypeSchemaResources class.
INTEGER - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureDataType: Static value Integer for FeatureDataType.
intellectualPropertyPublisher() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the intellectualPropertyPublisher property: IntellectualPropertyPublisher for the registry.
intellectualPropertyPublisher() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Get the intellectualPropertyPublisher property: IntellectualPropertyPublisher for the registry.
intellectualPropertyPublisher() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the intellectualPropertyPublisher property: IntellectualPropertyPublisher for the registry.
INTERNAL - Static variable in class com.azure.resourcemanager.machinelearning.models.ActionType: Static value Internal for ActionType.
INTERNAL_LOAD_BALANCER - Static variable in class com.azure.resourcemanager.machinelearning.models.LoadBalancerType: Static value InternalLoadBalancer for LoadBalancerType.
interval() - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Get the interval property: [Required] Specifies schedule interval in conjunction with frequency.
interval() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Get the interval property: [Required] Specifies schedule interval in conjunction with frequency.
INVALID_QUOTA_BELOW_CLUSTER_MINIMUM - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value InvalidQuotaBelowClusterMinimum for Status.
INVALID_QUOTA_EXCEEDS_SUBSCRIPTION_LIMIT - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value InvalidQuotaExceedsSubscriptionLimit for Status.
INVALID_VMFAMILY_NAME - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value InvalidVMFamilyName for Status.
INVOKE_BATCH_ENDPOINT - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleActionType: Static value InvokeBatchEndpoint for ScheduleActionType.
IOU - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value IOU for ClassificationMultilabelPrimaryMetrics.
isAnonymous() - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Get the isAnonymous property: If the name version are system generated (anonymous registration).
isArchived() - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Get the isArchived property: Is the asset archived?.
isArchived() - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Get the isArchived property: Is the asset archived?.
isArchived() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Get the isArchived property: Is the asset archived?.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isAttachedCompute() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Get the isAttachedCompute property: Indicating whether the compute was provisioned by user and brought from outside if true, or machine learning service provisioned it if false.
isDataAction() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OperationInner: Get the isDataAction property: Whether the operation applies to data-plane.
isDataAction() - Method in interface com.azure.resourcemanager.machinelearning.models.Operation: Gets the isDataAction property: Whether the operation applies to data-plane.
isDefault() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the isDefault property: Readonly property to indicate if datastore is the workspace default datastore.
isDefault() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Get the isDefault property: Readonly property to indicate if datastore is the workspace default datastore.
isDefault() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the isDefault property: Readonly property to indicate if datastore is the workspace default datastore.
isDefault() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the isDefault property: Readonly property to indicate if datastore is the workspace default datastore.
isDefault() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreProperties: Get the isDefault property: Readonly property to indicate if datastore is the workspace default datastore.
isDefault() - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Get the isDefault property: Readonly property to indicate if datastore is the workspace default datastore.
isEnabled() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Get the isEnabled property: Is the schedule enabled?.
isLatestOsImageVersion() - Method in class com.azure.resourcemanager.machinelearning.models.ImageMetadata: Get the isLatestOsImageVersion property: Specifies whether this compute instance is running on the latest operating system image.
isNotebookInstanceCompute() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the isNotebookInstanceCompute property: Indicates whether this compute will be used for running notebooks.
isolatedNetwork() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the isolatedNetwork property: Network is isolated or not.
isolationMode() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner: Get the isolationMode property: Isolation mode for the managed network of a machine learning workspace.
isolationMode() - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettings: Gets the isolationMode property: Isolation mode for the managed network of a machine learning workspace.
IsolationMode - Class in com.azure.resourcemanager.machinelearning.models: Isolation mode for the managed network of a machine learning workspace.
IsolationMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.IsolationMode: Deprecated.
Use the IsolationMode.fromString(String) factory method.
isSharedToAll() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Get the isSharedToAll property: The isSharedToAll property.

J

jars() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the jars property: Jar files used in the job.
JENSEN_SHANNON_DISTANCE - Static variable in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetric: Static value JensenShannonDistance for CategoricalDataDriftMetric.
JENSEN_SHANNON_DISTANCE - Static variable in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetric: Static value JensenShannonDistance for CategoricalPredictionDriftMetric.
JENSEN_SHANNON_DISTANCE - Static variable in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetric: Static value JensenShannonDistance for NumericalDataDriftMetric.
JENSEN_SHANNON_DISTANCE - Static variable in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetric: Static value JensenShannonDistance for NumericalPredictionDriftMetric.
JIRA - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Jira for ConnectionCategory.
JOB_CANCELLED - Static variable in class com.azure.resourcemanager.machinelearning.models.EmailNotificationEnableType: Static value JobCancelled for EmailNotificationEnableType.
JOB_COMPLETED - Static variable in class com.azure.resourcemanager.machinelearning.models.EmailNotificationEnableType: Static value JobCompleted for EmailNotificationEnableType.
JOB_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.EmailNotificationEnableType: Static value JobFailed for EmailNotificationEnableType.
JOB_RUNNING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value JobRunning for ComputeInstanceState.
JobBase - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of JobBase.
JobBase.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the JobBase definition.
JobBase.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The JobBase definition stages.
JobBase.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the JobBase definition.
JobBase.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the JobBase definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
JobBase.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the JobBase definition allowing to specify parent resource.
JobBase.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the JobBase definition allowing to specify properties.
JobBase.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for JobBase update.
JobBase.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The JobBase update stages.
JobBase.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the JobBase update allowing to specify properties.
JobBaseInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
JobBaseInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseInner: Creates an instance of JobBaseInner class.
JobBaseProperties - Class in com.azure.resourcemanager.machinelearning.models: Base definition for a job.
JobBaseProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Creates an instance of JobBaseProperties class.
JobBaseResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of JobBase entities.
JobBaseResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Creates an instance of JobBaseResourceArmPaginatedResult class.
jobDefinition() - Method in class com.azure.resourcemanager.machinelearning.models.JobScheduleAction: Get the jobDefinition property: [Required] Defines Schedule action definition details.
jobId() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Get the jobId property: Specify the jobId to retry the failed materialization.
jobId() - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Get the jobId property: ARM resource ID of the job.
jobIds() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionBackfillResponseInner: Get the jobIds property: List of jobs submitted as part of the backfill request.
jobIds() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillResponse: Gets the jobIds property: List of jobs submitted as part of the backfill request.
JobInput - Class in com.azure.resourcemanager.machinelearning.models: Command job definition.
JobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobInput: Creates an instance of JobInput class.
jobInputType() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Get the jobInputType property: [Required] Specifies the type of job.
jobInputType() - Method in class com.azure.resourcemanager.machinelearning.models.JobInput: Get the jobInputType property: [Required] Specifies the type of job.
jobInputType() - Method in class com.azure.resourcemanager.machinelearning.models.LiteralJobInput: Get the jobInputType property: [Required] Specifies the type of job.
jobInputType() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Get the jobInputType property: [Required] Specifies the type of job.
jobInputType() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Get the jobInputType property: [Required] Specifies the type of job.
jobInputType() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Get the jobInputType property: [Required] Specifies the type of job.
jobInputType() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Get the jobInputType property: [Required] Specifies the type of job.
jobInputType() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Get the jobInputType property: [Required] Specifies the type of job.
jobInputType() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Get the jobInputType property: [Required] Specifies the type of job.
JobInputType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the Job Input Type.
JobInputType() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobInputType: Deprecated.
Use the JobInputType.fromString(String) factory method.
JobLimits - Class in com.azure.resourcemanager.machinelearning.models: The JobLimits model.
JobLimits() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobLimits: Creates an instance of JobLimits class.
jobLimitsType() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJobLimits: Get the jobLimitsType property: [Required] JobLimit type.
jobLimitsType() - Method in class com.azure.resourcemanager.machinelearning.models.JobLimits: Get the jobLimitsType property: [Required] JobLimit type.
jobLimitsType() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Get the jobLimitsType property: [Required] JobLimit type.
JobLimitsType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for JobLimitsType.
JobLimitsType() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobLimitsType: Deprecated.
Use the JobLimitsType.fromString(String) factory method.
jobName() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Get the jobName property: Name of the training job which produced this model.
JobOutput - Class in com.azure.resourcemanager.machinelearning.models: Job output definition container information on where to find job output/logs.
JobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobOutput: Creates an instance of JobOutput class.
jobOutputType() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Get the jobOutputType property: [Required] Specifies the type of job.
jobOutputType() - Method in class com.azure.resourcemanager.machinelearning.models.JobOutput: Get the jobOutputType property: [Required] Specifies the type of job.
jobOutputType() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Get the jobOutputType property: [Required] Specifies the type of job.
jobOutputType() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Get the jobOutputType property: [Required] Specifies the type of job.
jobOutputType() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Get the jobOutputType property: [Required] Specifies the type of job.
jobOutputType() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Get the jobOutputType property: [Required] Specifies the type of job.
jobOutputType() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Get the jobOutputType property: [Required] Specifies the type of job.
JobOutputType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the Job Output Type.
JobOutputType() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobOutputType: Deprecated.
Use the JobOutputType.fromString(String) factory method.
JobResourceConfiguration - Class in com.azure.resourcemanager.machinelearning.models: The JobResourceConfiguration model.
JobResourceConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobResourceConfiguration: Creates an instance of JobResourceConfiguration class.
jobs() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Jobs.
jobs() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Get the jobs property: Jobs construct the Pipeline Job.
Jobs - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Jobs.
JobScheduleAction - Class in com.azure.resourcemanager.machinelearning.models: The JobScheduleAction model.
JobScheduleAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobScheduleAction: Creates an instance of JobScheduleAction class.
JobsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in JobsClient.
JobService - Class in com.azure.resourcemanager.machinelearning.models: Job endpoint definition.
JobService() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobService: Creates an instance of JobService class.
jobServiceType() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the jobServiceType property: Endpoint type.
JobStatus - Class in com.azure.resourcemanager.machinelearning.models: The status of a job.
JobStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobStatus: Deprecated.
Use the JobStatus.fromString(String) factory method.
jobTier() - Method in class com.azure.resourcemanager.machinelearning.models.QueueSettings: Get the jobTier property: Controls the compute job tier.
JobTier - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the job tier.
JobTier() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobTier: Deprecated.
Use the JobTier.fromString(String) factory method.
jobType() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the jobType property: [Required] Specifies the type of job.
jobType() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the jobType property: [Required] Specifies the type of job.
jobType() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Get the jobType property: [Required] Specifies the type of job.
jobType() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Get the jobType property: [Required] Specifies the type of job.
jobType() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the jobType property: [Required] Specifies the type of job.
jobType() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the jobType property: [Required] Specifies the type of job.
JobType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the type of job.
JobType() - Constructor for class com.azure.resourcemanager.machinelearning.models.JobType: Deprecated.
Use the JobType.fromString(String) factory method.
JSON - Static variable in class com.azure.resourcemanager.machinelearning.models.ValueFormat: Static value JSON for ValueFormat.

K

key() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreSecrets: Get the key property: Storage account key.
key() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the key property: Key data.
key() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccountKey: Get the key property: The key property.
key() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionApiKey: Get the key property: The key property.
KEY - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode: Static value Key for EndpointAuthMode.
KEY - Static variable in class com.azure.resourcemanager.machinelearning.models.ServerlessInferenceEndpointAuthMode: Static value Key for ServerlessInferenceEndpointAuthMode.
keyIdentifier() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Get the keyIdentifier property: Key vault uri to access the encryption key.
keyIdentifier() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultUpdateProperties: Get the keyIdentifier property: The keyIdentifier property.
keys() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the keys property: EndpointAuthKeys to set initially on an Endpoint.
keys() - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeys: Get the keys property: Dictionary of <string>.
keys() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the keys property: EndpointAuthKeys to set initially on an Endpoint.
keyType() - Method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Get the keyType property: [Required] Specification for which type of key to generate.
KeyType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for KeyType.
KeyType() - Constructor for class com.azure.resourcemanager.machinelearning.models.KeyType: Deprecated.
Use the KeyType.fromString(String) factory method.
keyValue() - Method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Get the keyValue property: The value the key is set to.
keyVault() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the keyVault property: ARM id of the key vault associated with this workspace.
keyVault() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the keyVault property: ARM id of the key vault associated with this workspace.
keyVault() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the keyVault property: Setting for diagnosing dependent key vault.
keyVault() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the keyVault property: ARM id of the key vault associated with this workspace.
keyVault() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the keyVault property: ARM id of the key vault associated with this workspace.
keyVaultArmId() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Get the keyVaultArmId property: The ArmId of the keyVault where the customer owned encryption key is present.
keyVaultProperties() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Get the keyVaultProperties property: Customer Key vault properties.
keyVaultProperties() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionUpdateProperties: Get the keyVaultProperties property: The keyVaultProperties property.
keyVaultResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the keyVaultResults property: The keyVaultResults property.
kind() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Get the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the kind property: The kind property.
kind() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
kind() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the kind property: The kind property.
KNN - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value KNN for ClassificationModels.
KNN - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value KNN for ForecastingModels.
KNN - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value KNN for RegressionModels.
Kubernetes - Class in com.azure.resourcemanager.machinelearning.models: A Machine Learning compute based on Kubernetes Compute.
Kubernetes() - Constructor for class com.azure.resourcemanager.machinelearning.models.Kubernetes: Creates an instance of Kubernetes class.
KUBERNETES - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value Kubernetes for ComputeType.
KUBERNETES - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointComputeType: Static value Kubernetes for EndpointComputeType.
KubernetesOnlineDeployment - Class in com.azure.resourcemanager.machinelearning.models: Properties specific to a KubernetesOnlineDeployment.
KubernetesOnlineDeployment() - Constructor for class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Creates an instance of KubernetesOnlineDeployment class.
KubernetesProperties - Class in com.azure.resourcemanager.machinelearning.models: Kubernetes properties.
KubernetesProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Creates an instance of KubernetesProperties class.
KubernetesSchema - Class in com.azure.resourcemanager.machinelearning.models: Kubernetes Compute Schema.
KubernetesSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.KubernetesSchema: Creates an instance of KubernetesSchema class.

L

LABEL_ENCODER - Static variable in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Static value LabelEncoder for BlockedTransformers.
LAKE_HOUSE - Static variable in class com.azure.resourcemanager.machinelearning.models.OneLakeArtifactType: Static value LakeHouse for OneLakeArtifactType.
LakeHouseArtifact - Class in com.azure.resourcemanager.machinelearning.models: The LakeHouseArtifact model.
LakeHouseArtifact() - Constructor for class com.azure.resourcemanager.machinelearning.models.LakeHouseArtifact: Creates an instance of LakeHouseArtifact class.
LARGE - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelSize: Static value Large for ModelSize.
LASSO_LARS - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value LassoLars for ForecastingModels.
LASSO_LARS - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value LassoLars for RegressionModels.
lastOperation() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the lastOperation property: The last operation on ComputeInstance.
latestImageVersion() - Method in class com.azure.resourcemanager.machinelearning.models.ImageMetadata: Get the latestImageVersion property: Specifies the latest available operating system image version.
latestVersion() - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Get the latestVersion property: The latest version inside this container.
latestVersion() - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerProperties: Get the latestVersion property: The latest version inside this container.
latestVersion() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerProperties: Get the latestVersion property: The latest version inside this container.
latestVersion() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerProperties: Get the latestVersion property: The latest version inside this container.
latestVersion() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerProperties: Get the latestVersion property: The latest version inside this container.
latestVersion() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerProperties: Get the latestVersion property: The latest version inside this container.
latestVersion() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerProperties: Get the latestVersion property: The latest version inside this container.
latestVersion() - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerProperties: Get the latestVersion property: The latest version inside this container.
layersToFreeze() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the layersToFreeze property: Number of layers to freeze for the model.
layersToFreeze() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the layersToFreeze property: Number of layers to freeze for the model.
leafDomainLabel() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the leafDomainLabel property: Leaf domain label of public endpoint.
learningRate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the learningRate property: Initial learning rate.
learningRate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the learningRate property: Initial learning rate.
learningRateScheduler() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the learningRateScheduler property: Type of learning rate scheduler.
learningRateScheduler() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the learningRateScheduler property: Type of learning rate scheduler.
LearningRateScheduler - Class in com.azure.resourcemanager.machinelearning.models: Learning rate scheduler enum.
LearningRateScheduler() - Constructor for class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler: Deprecated.
Use the LearningRateScheduler.fromString(String) factory method.
LEAVING - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value leaving for NodeState.
leavingNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the leavingNodeCount property: Number of compute nodes which are leaving the amlCompute.
level() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResult: Get the level property: Level of workspace setup error.
LIGHT_GBM - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value LightGBM for ClassificationModels.
LIGHT_GBM - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value LightGBM for ForecastingModels.
LIGHT_GBM - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value LightGBM for RegressionModels.
LIGHT_GBMCLASSIFIER - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value LightGBMClassifier for StackMetaLearnerType.
LIGHT_GBMREGRESSOR - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value LightGBMRegressor for StackMetaLearnerType.
limit() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the limit property: The maximum permitted quota of the resource.
limit() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the limit property: The maximum permitted usage of the resource.
limit() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Get the limit property: The maximum permitted quota of the resource.
limit() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the limit property: The maximum permitted quota of the resource.
limit() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Get the limit property: The maximum permitted quota of the resource.
limit() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the limit property: The maximum permitted usage of the resource.
limits() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the limits property: Command Job limit.
limits() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Get the limits property: Resource limits for this instance type.
limits() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the limits property: Sweep Job limit.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the limitSettings property: [Required] Limit settings for the AutoML job.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the limitSettings property: [Required] Limit settings for the AutoML job.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the limitSettings property: [Required] Limit settings for the AutoML job.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the limitSettings property: [Required] Limit settings for the AutoML job.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Get the limitSettings property: [Required] Limit settings for the AutoML job.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Get the limitSettings property: Execution constraints for AutoMLJob.
limitSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Get the limitSettings property: Execution constraints for AutoMLJob.
LINEAR_REGRESSION - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value LinearRegression for StackMetaLearnerType.
LINEAR_SVM - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value LinearSVM for ClassificationModels.
LINUX - Static variable in class com.azure.resourcemanager.machinelearning.models.OperatingSystemType: Static value Linux for OperatingSystemType.
LINUX - Static variable in class com.azure.resourcemanager.machinelearning.models.OsType: Static value Linux for OsType.
LINUX - Static variable in class com.azure.resourcemanager.machinelearning.models.VMPriceOSType: Static value Linux for VMPriceOSType.
list() - Method in interface com.azure.resourcemanager.machinelearning.fluent.OperationsClient: Lists all of the available Azure Machine Learning Workspaces REST API operations.
list() - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: List registries by subscription.
list() - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the available machine learning workspaces under the specified subscription.
list() - Method in interface com.azure.resourcemanager.machinelearning.models.Operations: Lists all of the available Azure Machine Learning Workspaces REST API operations.
list() - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: List registries by subscription.
list() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the available machine learning workspaces under the specified subscription.
list(Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OperationsClient: Lists all of the available Azure Machine Learning Workspaces REST API operations.
list(Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: List registries by subscription.
list(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Operations: Lists all of the available Azure Machine Learning Workspaces REST API operations.
list(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: List registries by subscription.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.QuotasClient: Gets the currently assigned Workspace Quotas based on VMFamily.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.UsagesClient: Gets the current usage information as well as limits for AML resources for given subscription and location.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.VirtualMachineSizesClient: Returns supported VM Sizes in a location.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Quotas: Gets the currently assigned Workspace Quotas based on VMFamily.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Usages: Gets the current usage information as well as limits for AML resources for given subscription and location.
list(String) - Method in interface com.azure.resourcemanager.machinelearning.models.VirtualMachineSizes: Returns supported VM Sizes in a location.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.QuotasClient: Gets the currently assigned Workspace Quotas based on VMFamily.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.UsagesClient: Gets the current usage information as well as limits for AML resources for given subscription and location.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the available machine learning workspaces under the specified subscription.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Quotas: Gets the currently assigned Workspace Quotas based on VMFamily.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Usages: Gets the current usage information as well as limits for AML resources for given subscription and location.
list(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the available machine learning workspaces under the specified subscription.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Lists Batch inference endpoint in the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: List containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: List component containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets computes in specified workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: List data containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: List datastores.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: List environment containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: List featurestore entity containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: List featurestore entity containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Lists Jobs in the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Lists the managed network outbound rules for a machine learning workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: List containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: List model containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: List Online Endpoints.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: List all the private endpoint connections associated with the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateLinkResourcesClient: Gets the private link resources that need to be created for a workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: List containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: List containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: List Data containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: List environment containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: List model containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: List schedules in specified workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: List Serverless Endpoints.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: The list operation.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceFeaturesClient: Lists all enabled features for a workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Lists Batch inference endpoint in the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: List containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: List component containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets computes in specified workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: List data containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: List datastores.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: List environment containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainers: List featurestore entity containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainers: List featurestore entity containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Lists Jobs in the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettingsRules: Lists the managed network outbound rules for a machine learning workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptions: List containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: List model containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: List Online Endpoints.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: List all the private endpoint connections associated with the workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateLinkResources: Gets the private link resources that need to be created for a workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeContainers: List containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentContainers: List containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataContainers: List Data containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentContainers: List environment containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelContainers: List model containers.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedules: List schedules in specified workspace.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: List Serverless Endpoints.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: The list operation.
list(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceFeatures: Lists all enabled features for a workspace.
list(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkSettingsRulesClient: Lists the managed network outbound rules for a machine learning workspace.
list(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateEndpointConnectionsClient: List all the private endpoint connections associated with the workspace.
list(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceFeaturesClient: Lists all enabled features for a workspace.
list(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettingsRules: Lists the managed network outbound rules for a machine learning workspace.
list(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnections: List all the private endpoint connections associated with the workspace.
list(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceFeatures: Lists all enabled features for a workspace.
list(String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Lists Batch inference endpoint in the workspace.
list(String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Lists Batch inference endpoint in the workspace.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Lists Batch inference deployments in the workspace.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: List component versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: List data versions in the data container.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: List model versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: List Inference Endpoint Deployments.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: List data versions in the data container.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Lists Batch inference deployments in the workspace.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: List component versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: List data versions in the data container.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersions: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: List model versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: List Inference Endpoint Deployments.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeVersions: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentVersions: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataVersions: List data versions in the data container.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentVersions: List versions.
list(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelVersions: List versions.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeContainersClient: List containers.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets computes in specified workspace.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.MarketplaceSubscriptionsClient: List containers.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeContainersClient: List containers.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentContainersClient: List containers.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: List Serverless Endpoints.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainers: List containers.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets computes in specified workspace.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptions: List containers.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeContainers: List containers.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentContainers: List containers.
list(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: List Serverless Endpoints.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentContainersClient: List component containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataContainersClient: List data containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentContainersClient: List environment containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataContainersClient: List Data containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentContainersClient: List environment containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelContainersClient: List model containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainers: List component containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainers: List data containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainers: List environment containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataContainers: List Data containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentContainers: List environment containers.
list(String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelContainers: List model containers.
list(String, String, String, ScheduleListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.SchedulesClient: List schedules in specified workspace.
list(String, String, String, ScheduleListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedules: List schedules in specified workspace.
list(String, String, String, Integer, EndpointComputeType, String, String, String, OrderString, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: List Online Endpoints.
list(String, String, String, Integer, EndpointComputeType, String, String, String, OrderString, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: List Online Endpoints.
list(String, String, String, Integer, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelContainersClient: List model containers.
list(String, String, String, Integer, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainers: List model containers.
list(String, String, String, Integer, Boolean, List<String>, String, String, Boolean, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: List datastores.
list(String, String, String, Integer, Boolean, List<String>, String, String, Boolean, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: List datastores.
list(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesClient: List Features.
list(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Features: List Features.
list(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: The list operation.
list(String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: The list operation.
list(String, String, String, String, ListViewType, Integer, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetContainersClient: List featurestore entity containers.
list(String, String, String, String, ListViewType, Integer, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityContainersClient: List featurestore entity containers.
list(String, String, String, String, ListViewType, Integer, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainers: List featurestore entity containers.
list(String, String, String, String, ListViewType, Integer, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainers: List featurestore entity containers.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Lists Batch inference deployments in the workspace.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: List Inference Endpoint Deployments.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryCodeVersionsClient: List versions.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryComponentVersionsClient: List versions.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployments: Lists Batch inference deployments in the workspace.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: List Inference Endpoint Deployments.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryCodeVersions: List versions.
list(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryComponentVersions: List versions.
list(String, String, String, String, Integer, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: List component versions.
list(String, String, String, String, Integer, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: List versions.
list(String, String, String, String, Integer, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryEnvironmentVersionsClient: List versions.
list(String, String, String, String, Integer, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: List component versions.
list(String, String, String, String, Integer, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: List versions.
list(String, String, String, String, Integer, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryEnvironmentVersions: List versions.
list(String, String, String, String, Integer, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: List data versions in the data container.
list(String, String, String, String, Integer, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryDataVersionsClient: List data versions in the data container.
list(String, String, String, String, Integer, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: List data versions in the data container.
list(String, String, String, String, Integer, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryDataVersions: List data versions in the data container.
list(String, String, String, String, Integer, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: List versions.
list(String, String, String, String, Integer, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: List versions.
list(String, String, String, String, String, ListViewType, Integer, String, String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesetVersionsClient: List versions.
list(String, String, String, String, String, ListViewType, Integer, String, String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturestoreEntityVersionsClient: List versions.
list(String, String, String, String, String, ListViewType, Integer, String, String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersions: List versions.
list(String, String, String, String, String, ListViewType, Integer, String, String, String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersions: List versions.
list(String, String, String, String, String, ListViewType, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.JobsClient: Lists Jobs in the workspace.
list(String, String, String, String, String, ListViewType, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Jobs: Lists Jobs in the workspace.
list(String, String, String, String, String, Integer, String, String, Integer, String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: List model versions.
list(String, String, String, String, String, Integer, String, String, Integer, String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: List model versions.
list(String, String, String, String, String, Integer, String, String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistryModelVersionsClient: List versions.
list(String, String, String, String, String, Integer, String, String, String, String, ListViewType, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.RegistryModelVersions: List versions.
list(String, String, String, String, String, String, String, String, ListViewType, Integer, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.FeaturesClient: List Features.
list(String, String, String, String, String, String, String, String, ListViewType, Integer, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Features: List Features.
ListAmlUserFeatureResult - Class in com.azure.resourcemanager.machinelearning.models: The List Aml user feature operation response.
ListAmlUserFeatureResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ListAmlUserFeatureResult: Creates an instance of ListAmlUserFeatureResult class.
listByResourceGroup(String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: List registries.
listByResourceGroup(String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the available machine learning workspaces under the specified resource group.
listByResourceGroup(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: List registries.
listByResourceGroup(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the available machine learning workspaces under the specified resource group.
listByResourceGroup(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: List registries.
listByResourceGroup(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: List registries.
listByResourceGroup(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the available machine learning workspaces under the specified resource group.
listByResourceGroup(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the available machine learning workspaces under the specified resource group.
listKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Lists batch Inference Endpoint keys.
listKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Lists all the keys associated with this workspace.
listKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the keys associated with this workspace.
listKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the keys associated with this workspace.
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Lists batch Inference Endpoint keys.
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Lists batch Inference Endpoint keys.
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeys(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Lists batch Inference Endpoint keys.
listKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Lists all the keys associated with this workspace.
listKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Lists all the keys associated with this workspace.
listKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Lists all the keys associated with this workspace.
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Lists batch Inference Endpoint keys.
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoints: Lists batch Inference Endpoint keys.
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Gets secrets related to Machine Learning compute (storage keys, service credentials, etc).
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listKeysWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: List EndpointAuthKeys for an Endpoint using Key-based authentication.
listNodes() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNodes(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNodes(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNodes(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNodes(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNodes(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Get the details (e.g IP address, port etc) of all the compute nodes in the compute.
listNotebookAccessToken() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: return notebook access token and refresh token.
listNotebookAccessToken(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: return notebook access token and refresh token.
listNotebookAccessToken(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: return notebook access token and refresh token.
listNotebookAccessTokenWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: return notebook access token and refresh token.
listNotebookAccessTokenWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: return notebook access token and refresh token.
listNotebookAccessTokenWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: return notebook access token and refresh token.
listNotebookKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: List keys of a notebook.
listNotebookKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: List keys of a notebook.
listNotebookKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: List keys of a notebook.
ListNotebookKeysResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ListNotebookKeysResult.
ListNotebookKeysResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The ListNotebookKeysResult model.
ListNotebookKeysResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner: Creates an instance of ListNotebookKeysResultInner class.
listNotebookKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: List keys of a notebook.
listNotebookKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: List keys of a notebook.
listNotebookKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: List keys of a notebook.
listOutboundNetworkDependenciesEndpoints(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Called by Client (Portal, CLI, etc) to get a list of all external outbound dependencies (FQDNs) programmatically.
listOutboundNetworkDependenciesEndpoints(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Called by Client (Portal, CLI, etc) to get a list of all external outbound dependencies (FQDNs) programmatically.
listOutboundNetworkDependenciesEndpointsWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Called by Client (Portal, CLI, etc) to get a list of all external outbound dependencies (FQDNs) programmatically.
listOutboundNetworkDependenciesEndpointsWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Called by Client (Portal, CLI, etc) to get a list of all external outbound dependencies (FQDNs) programmatically.
listSecrets() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Get datastore secrets.
listSecrets() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource: List all the secrets of a machine learning workspaces connections.
listSecrets(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Get datastore secrets.
listSecrets(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: List all the secrets of a machine learning workspaces connections.
listSecrets(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore secrets.
listSecrets(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: List all the secrets of a machine learning workspaces connections.
listSecretsWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Get datastore secrets.
listSecretsWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource: List all the secrets of a machine learning workspaces connections.
listSecretsWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DatastoresClient: Get datastore secrets.
listSecretsWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspaceConnectionsClient: List all the secrets of a machine learning workspaces connections.
listSecretsWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastores: Get datastore secrets.
listSecretsWithResponse(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnections: List all the secrets of a machine learning workspaces connections.
listSkus(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: List Inference Endpoint Deployment Skus.
listSkus(String, String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: List Inference Endpoint Deployment Skus.
listSkus(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: List Inference Endpoint Deployment Skus.
listSkus(String, String, String, String, Integer, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployments: List Inference Endpoint Deployment Skus.
listStorageAccountKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: List storage account keys of a workspace.
listStorageAccountKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: List storage account keys of a workspace.
listStorageAccountKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: List storage account keys of a workspace.
ListStorageAccountKeysResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ListStorageAccountKeysResult.
ListStorageAccountKeysResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The ListStorageAccountKeysResult model.
ListStorageAccountKeysResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ListStorageAccountKeysResultInner: Creates an instance of ListStorageAccountKeysResultInner class.
listStorageAccountKeysWithResponse(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: List storage account keys of a workspace.
listStorageAccountKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: List storage account keys of a workspace.
listStorageAccountKeysWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: List storage account keys of a workspace.
ListUsagesResult - Class in com.azure.resourcemanager.machinelearning.models: The List Usages operation response.
ListUsagesResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ListUsagesResult: Creates an instance of ListUsagesResult class.
ListViewType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ListViewType.
ListViewType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ListViewType: Deprecated.
Use the ListViewType.fromString(String) factory method.
listWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.VirtualMachineSizesClient: Returns supported VM Sizes in a location.
listWithResponse(String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.VirtualMachineSizes: Returns supported VM Sizes in a location.
listWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.PrivateLinkResourcesClient: Gets the private link resources that need to be created for a workspace.
listWithResponse(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateLinkResources: Gets the private link resources that need to be created for a workspace.
ListWorkspaceKeysResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ListWorkspaceKeysResult.
ListWorkspaceKeysResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The ListWorkspaceKeysResult model.
ListWorkspaceKeysResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Creates an instance of ListWorkspaceKeysResultInner class.
ListWorkspaceQuotas - Class in com.azure.resourcemanager.machinelearning.models: The List WorkspaceQuotasByVMFamily operation response.
ListWorkspaceQuotas() - Constructor for class com.azure.resourcemanager.machinelearning.models.ListWorkspaceQuotas: Creates an instance of ListWorkspaceQuotas class.
LITERAL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value literal for JobInputType.
LiteralJobInput - Class in com.azure.resourcemanager.machinelearning.models: Literal input type.
LiteralJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.LiteralJobInput: Creates an instance of LiteralJobInput class.
livenessProbe() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the livenessProbe property: Liveness probe monitors the health of the container regularly.
livenessRoute() - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Get the livenessRoute property: The route to check the liveness of the inference server container.
loadBalancerSubnet() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the loadBalancerSubnet property: Load Balancer Subnet.
loadBalancerType() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the loadBalancerType property: Load Balancer Type.
LoadBalancerType - Class in com.azure.resourcemanager.machinelearning.models: Load Balancer Type.
LoadBalancerType() - Constructor for class com.azure.resourcemanager.machinelearning.models.LoadBalancerType: Deprecated.
Use the LoadBalancerType.fromString(String) factory method.
LOCAL - Static variable in class com.azure.resourcemanager.machinelearning.models.Autosave: Static value Local for Autosave.
LOCAL - Static variable in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariableType: Static value local for EnvironmentVariableType.
localizedValue() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceName: Get the localizedValue property: The localized name of the resource.
localizedValue() - Method in class com.azure.resourcemanager.machinelearning.models.UsageName: Get the localizedValue property: The localized name of the resource.
location() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the location property: Specifies the location of the resource.
location() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the location property: Specifies the location of the resource.
location() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the location property: Specifies the location of the resource.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the location property: The geo-location where the resource lives.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the location property: The geo-location where the resource lives.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the location property: Specifies the location of the resource.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the location property: The geo-location where the resource lives.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the location property: The geo-location where the resource lives.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the location property: Specifies the location of the resource.
location() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the location property: Specifies the location of the resource.
location() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Get the location property: Region of workspace quota to be updated.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the location property: The geo-location where the resource lives.
location() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Get the location property: The location property.
location() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Get the location property: Same as workspace location.
location() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryRegionArmDetails: Get the location property: The location where the registry exists.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the location property: The geo-location where the resource lives.
location() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the location property: Specifies the location of the resource.
loggingLevel() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the loggingLevel property: Logging level for batch inference operation.
LOGISTIC_REGRESSION - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value LogisticRegression for ClassificationModels.
LOGISTIC_REGRESSION - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value LogisticRegression for StackMetaLearnerType.
LOGISTIC_REGRESSION_CV - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value LogisticRegressionCV for StackMetaLearnerType.
logVerbosity() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Get the logVerbosity property: Log verbosity for the job.
LogVerbosity - Class in com.azure.resourcemanager.machinelearning.models: Enum for setting log verbosity.
LogVerbosity() - Constructor for class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Deprecated.
Use the LogVerbosity.fromString(String) factory method.
LONG - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureDataType: Static value Long for FeatureDataType.
LOW_PRIORITY - Static variable in class com.azure.resourcemanager.machinelearning.models.VmPriority: Static value LowPriority for VmPriority.
LOW_PRIORITY - Static variable in class com.azure.resourcemanager.machinelearning.models.VMTier: Static value LowPriority for VMTier.
lowPriorityCapable() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the lowPriorityCapable property: Specifies if the virtual machine size supports low priority VMs.
lun() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Get the lun property: The lun is used to uniquely identify each data disk.

M

MachineLearningManager - Class in com.azure.resourcemanager.machinelearning: Entry point to MachineLearningManager.
MachineLearningManager.Configurable - Class in com.azure.resourcemanager.machinelearning: The Configurable allowing configurations to be set.
MAGENTO - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Magento for ConnectionCategory.
MANAGED - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointComputeType: Static value Managed for EndpointComputeType.
MANAGED - Static variable in class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType: Static value Managed for IdentityConfigurationType.
MANAGED_IDENTITY - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value ManagedIdentity for ConnectionAuthType.
MANAGED_IDENTITY - Static variable in class com.azure.resourcemanager.machinelearning.models.DataReferenceCredentialType: Static value ManagedIdentity for DataReferenceCredentialType.
MANAGED_IDENTITY - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitorComputeIdentityType: Static value ManagedIdentity for MonitorComputeIdentityType.
ManagedComputeIdentity - Class in com.azure.resourcemanager.machinelearning.models: Managed compute identity definition.
ManagedComputeIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedComputeIdentity: Creates an instance of ManagedComputeIdentity class.
ManagedIdentity - Class in com.azure.resourcemanager.machinelearning.models: Managed identity configuration.
ManagedIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Creates an instance of ManagedIdentity class.
ManagedIdentityAuthTypeWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: The ManagedIdentityAuthTypeWorkspaceConnectionProperties model.
ManagedIdentityAuthTypeWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Creates an instance of ManagedIdentityAuthTypeWorkspaceConnectionProperties class.
ManagedIdentityCredential - Class in com.azure.resourcemanager.machinelearning.models: Credential for user managed identity.
ManagedIdentityCredential() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Creates an instance of ManagedIdentityCredential class.
managedIdentityType() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Get the managedIdentityType property: ManagedIdentityCredential identity type.
managedNetwork() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the managedNetwork property: Managed Network settings for a machine learning workspace.
managedNetwork() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the managedNetwork property: Managed Network settings for a machine learning workspace.
managedNetwork() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the managedNetwork property: Managed Network settings for a machine learning workspace.
managedNetwork() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the managedNetwork property: Managed Network settings for a machine learning workspace.
managedNetwork() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the managedNetwork property: Managed Network settings for a machine learning workspace.
managedNetwork() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the managedNetwork property: Managed Network settings for a machine learning workspace.
managedNetwork() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the managedNetwork property: Managed Network settings for a machine learning workspace.
ManagedNetworkProvisionOptions - Class in com.azure.resourcemanager.machinelearning.models: Managed Network Provisioning options for managed network of a machine learning workspace.
ManagedNetworkProvisionOptions() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedNetworkProvisionOptions: Creates an instance of ManagedNetworkProvisionOptions class.
managedNetworkProvisions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of ManagedNetworkProvisions.
ManagedNetworkProvisions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of ManagedNetworkProvisions.
ManagedNetworkProvisionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ManagedNetworkProvisionsClient.
ManagedNetworkProvisionStatus - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ManagedNetworkProvisionStatus.
ManagedNetworkProvisionStatusInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Status of the Provisioning for the managed network of a machine learning workspace.
ManagedNetworkProvisionStatusInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkProvisionStatusInner: Creates an instance of ManagedNetworkProvisionStatusInner class.
ManagedNetworkSettings - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ManagedNetworkSettings.
ManagedNetworkSettingsInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Managed Network settings for a machine learning workspace.
ManagedNetworkSettingsInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner: Creates an instance of ManagedNetworkSettingsInner class.
managedNetworkSettingsRules() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of ManagedNetworkSettingsRules.
ManagedNetworkSettingsRules - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of ManagedNetworkSettingsRules.
ManagedNetworkSettingsRulesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ManagedNetworkSettingsRulesClient.
ManagedNetworkStatus - Class in com.azure.resourcemanager.machinelearning.models: Status for the managed network of a machine learning workspace.
ManagedNetworkStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedNetworkStatus: Deprecated.
Use the ManagedNetworkStatus.fromString(String) factory method.
ManagedOnlineDeployment - Class in com.azure.resourcemanager.machinelearning.models: Properties specific to a ManagedOnlineDeployment.
ManagedOnlineDeployment() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Creates an instance of ManagedOnlineDeployment class.
managedResourceGroup() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the managedResourceGroup property: ResourceId of the managed RG if the registry has system created resources.
managedResourceGroup() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Get the managedResourceGroup property: ResourceId of the managed RG if the registry has system created resources.
managedResourceGroup() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the managedResourceGroup property: ResourceId of the managed RG if the registry has system created resources.
ManagedServiceIdentity - Class in com.azure.resourcemanager.machinelearning.models: Managed service identity (system assigned and/or user assigned identities).
ManagedServiceIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Creates an instance of ManagedServiceIdentity class.
ManagedServiceIdentityType - Class in com.azure.resourcemanager.machinelearning.models: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
ManagedServiceIdentityType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Deprecated.
Use the ManagedServiceIdentityType.fromString(String) factory method.
MANUAL - Static variable in class com.azure.resourcemanager.machinelearning.models.SkuScaleType: Static value Manual for SkuScaleType.
MARIA_DB - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value MariaDb for ConnectionCategory.
MARKETO - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Marketo for ConnectionCategory.
marketplacePlan() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProperties: Get the marketplacePlan property: Marketplace Plan associated with the Marketplace Subscription.
MarketplacePlan - Class in com.azure.resourcemanager.machinelearning.models: The MarketplacePlan model.
MarketplacePlan() - Constructor for class com.azure.resourcemanager.machinelearning.models.MarketplacePlan: Creates an instance of MarketplacePlan class.
MarketplaceSubscription - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of MarketplaceSubscription.
MarketplaceSubscription.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the MarketplaceSubscription definition.
MarketplaceSubscription.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The MarketplaceSubscription definition stages.
MarketplaceSubscription.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the MarketplaceSubscription definition.
MarketplaceSubscription.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the MarketplaceSubscription definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
MarketplaceSubscription.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the MarketplaceSubscription definition allowing to specify parent resource.
MarketplaceSubscription.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the MarketplaceSubscription definition allowing to specify properties.
MarketplaceSubscription.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for MarketplaceSubscription update.
MarketplaceSubscription.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The MarketplaceSubscription update stages.
MarketplaceSubscription.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the MarketplaceSubscription update allowing to specify properties.
marketplaceSubscriptionId() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Get the marketplaceSubscriptionId property: The MarketplaceSubscription Azure ID associated to this ServerlessEndpoint.
MarketplaceSubscriptionInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
MarketplaceSubscriptionInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.MarketplaceSubscriptionInner: Creates an instance of MarketplaceSubscriptionInner class.
MarketplaceSubscriptionProperties - Class in com.azure.resourcemanager.machinelearning.models: The MarketplaceSubscriptionProperties model.
MarketplaceSubscriptionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProperties: Creates an instance of MarketplaceSubscriptionProperties class.
MarketplaceSubscriptionProvisioningState - Class in com.azure.resourcemanager.machinelearning.models: Defines values for MarketplaceSubscriptionProvisioningState.
MarketplaceSubscriptionProvisioningState() - Constructor for class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProvisioningState: Deprecated.
Use the MarketplaceSubscriptionProvisioningState.fromString(String) factory method.
MarketplaceSubscriptionResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of MarketplaceSubscription entities.
MarketplaceSubscriptionResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionResourceArmPaginatedResult: Creates an instance of MarketplaceSubscriptionResourceArmPaginatedResult class.
marketplaceSubscriptions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of MarketplaceSubscriptions.
MarketplaceSubscriptions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of MarketplaceSubscriptions.
MarketplaceSubscriptionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in MarketplaceSubscriptionsClient.
marketplaceSubscriptionStatus() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProperties: Get the marketplaceSubscriptionStatus property: Current status of the Marketplace Subscription.
MarketplaceSubscriptionStatus - Class in com.azure.resourcemanager.machinelearning.models: Defines values for MarketplaceSubscriptionStatus.
MarketplaceSubscriptionStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionStatus: Deprecated.
Use the MarketplaceSubscriptionStatus.fromString(String) factory method.
MaterializationComputeResource - Class in com.azure.resourcemanager.machinelearning.models: DTO object representing compute resource.
MaterializationComputeResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.MaterializationComputeResource: Creates an instance of MaterializationComputeResource class.
materializationSettings() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Get the materializationSettings property: Specifies the materialization settings.
MaterializationSettings - Class in com.azure.resourcemanager.machinelearning.models: The MaterializationSettings model.
MaterializationSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Creates an instance of MaterializationSettings class.
MaterializationStoreType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for MaterializationStoreType.
MaterializationStoreType() - Constructor for class com.azure.resourcemanager.machinelearning.models.MaterializationStoreType: Deprecated.
Use the MaterializationStoreType.fromString(String) factory method.
MAX - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Static value Max for TargetAggregationFunction.
maxConcurrencyPerInstance() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the maxConcurrencyPerInstance property: Indicates maximum number of parallelism per instance.
maxConcurrentRequestsPerInstance() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Get the maxConcurrentRequestsPerInstance property: The number of maximum concurrent requests per node allowed per deployment.
maxConcurrentTrials() - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Get the maxConcurrentTrials property: Maximum number of concurrent AutoML iterations.
maxConcurrentTrials() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Get the maxConcurrentTrials property: Maximum Concurrent AutoML iterations.
maxConcurrentTrials() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Get the maxConcurrentTrials property: Sweep Job max concurrent trials.
maxConcurrentTrials() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the maxConcurrentTrials property: Maximum Concurrent iterations.
maxCoresPerTrial() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the maxCoresPerTrial property: Max cores per iteration.
MAXIMIZE - Static variable in class com.azure.resourcemanager.machinelearning.models.Goal: Static value Maximize for Goal.
maximum() - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Get the maximum property: Gets or sets the maximum.
maxInstances() - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Get the maxInstances property: The maximum number of instances that the deployment can scale to.
maxNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Get the maxNodeCount property: The maxNodeCount property.
maxNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Get the maxNodeCount property: Max number of nodes to use.
maxQueueWait() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Get the maxQueueWait property: (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format.
maxResourceVolumeMB() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the maxResourceVolumeMB property: The resource volume size, in MB, allowed by the virtual machine size.
maxRetries() - Method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Get the maxRetries property: Maximum retry count for a mini-batch.
maxSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the maxSize property: Maximum size of the image to be rescaled before feeding it to the backbone.
maxSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the maxSize property: Maximum size of the image to be rescaled before feeding it to the backbone.
maxTotalTrials() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Get the maxTotalTrials property: Sweep Job max total trials.
maxTrials() - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Get the maxTrials property: Maximum number of AutoML iterations.
maxTrials() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Get the maxTrials property: Number of AutoML iterations.
maxTrials() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the maxTrials property: Number of iterations.
MEAN - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Static value Mean for TargetAggregationFunction.
MEAN_AVERAGE_PRECISION - Static variable in class com.azure.resourcemanager.machinelearning.models.InstanceSegmentationPrimaryMetrics: Static value MeanAveragePrecision for InstanceSegmentationPrimaryMetrics.
MEAN_AVERAGE_PRECISION - Static variable in class com.azure.resourcemanager.machinelearning.models.ObjectDetectionPrimaryMetrics: Static value MeanAveragePrecision for ObjectDetectionPrimaryMetrics.
MEDIAN_STOPPING - Static variable in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType: Static value MedianStopping for EarlyTerminationPolicyType.
MedianStoppingPolicy - Class in com.azure.resourcemanager.machinelearning.models: Defines an early termination policy based on running averages of the primary metric of all runs.
MedianStoppingPolicy() - Constructor for class com.azure.resourcemanager.machinelearning.models.MedianStoppingPolicy: Creates an instance of MedianStoppingPolicy class.
MEDIUM - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelSize: Static value Medium for ModelSize.
memory() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Get the memory property: Memory size request/limit for container.
memoryGB() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the memoryGB property: The amount of memory, in GB, supported by the virtual machine size.
message() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResult: Get the message property: Message of workspace setup error.
metadata() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Get the metadata property: Store user metadata for this connection.
metric() - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetricThreshold: Get the metric property: [Required] The categorical data drift metric to calculate.
metric() - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetricThreshold: Get the metric property: [Required] The categorical data quality metric to calculate.
metric() - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetricThreshold: Get the metric property: [Required] The categorical prediction drift metric to calculate.
metric() - Method in class com.azure.resourcemanager.machinelearning.models.CustomMetricThreshold: Get the metric property: [Required] The user-defined metric to calculate.
metric() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetricThreshold: Get the metric property: [Required] The feature attribution metric to calculate.
metric() - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetricThreshold: Get the metric property: [Required] The numerical data drift metric to calculate.
metric() - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetricThreshold: Get the metric property: [Required] The numerical data quality metric to calculate.
metric() - Method in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetricThreshold: Get the metric property: [Required] The numerical prediction drift metric to calculate.
metricThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Get the metricThreshold property: [Required] A list of metrics to calculate and their associated thresholds.
metricThresholds() - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Get the metricThresholds property: [Required] A list of metrics to calculate and their associated thresholds.
metricThresholds() - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Get the metricThresholds property: [Required] A list of metrics to calculate and their associated thresholds.
metricThresholds() - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Get the metricThresholds property: [Required] A list of metrics to calculate and their associated thresholds.
metricThresholds() - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Get the metricThresholds property: [Required] A list of metrics to calculate and their associated thresholds.
MICROSOFT_ACCESS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value MicrosoftAccess for ConnectionCategory.
MIN - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Static value Min for TargetAggregationFunction.
miniBatchSize() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the miniBatchSize property: Size of the mini-batch passed to each batch invocation.
MINIMIZE - Static variable in class com.azure.resourcemanager.machinelearning.models.Goal: Static value Minimize for Goal.
minimum() - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Get the minimum property: Gets or sets the minimum.
minInstances() - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Get the minInstances property: The minimum number of instances to always be present.
minNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Get the minNodeCount property: The minNodeCount property.
minNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Get the minNodeCount property: Min number of nodes to use.
minSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the minSize property: Minimum size of the image to be rescaled before feeding it to the backbone.
minSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the minSize property: Minimum size of the image to be rescaled before feeding it to the backbone.
MINUTE - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceFrequency: Static value Minute for ComputeRecurrenceFrequency.
MINUTE - Static variable in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Static value Minute for RecurrenceFrequency.
MINUTE - Static variable in class com.azure.resourcemanager.machinelearning.models.RollingRateType: Static value Minute for RollingRateType.
minutes() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule: Get the minutes property: [Required] List of minutes for the schedule.
minutes() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Get the minutes property: [Required] List of minutes for the schedule.
mirrorTraffic() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Get the mirrorTraffic property: Percentage of traffic to be mirrored to each deployment without using returned scoring.
MLFLOW_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value mlflow_model for JobInputType.
MLFLOW_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value mlflow_model for JobOutputType.
MLFlowModelJobInput - Class in com.azure.resourcemanager.machinelearning.models: The MLFlowModelJobInput model.
MLFlowModelJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Creates an instance of MLFlowModelJobInput class.
MLFlowModelJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The MLFlowModelJobOutput model.
MLFlowModelJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Creates an instance of MLFlowModelJobOutput class.
mlFlowRegistryUri() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the mlFlowRegistryUri property: MLFlow Registry URI for the Registry.
mlFlowRegistryUri() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Get the mlFlowRegistryUri property: MLFlow Registry URI for the Registry.
mlFlowRegistryUri() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the mlFlowRegistryUri property: MLFlow Registry URI for the Registry.
mlFlowTrackingUri() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the mlFlowTrackingUri property: The URI associated with this workspace that machine learning flow must point at to set up tracking.
mlFlowTrackingUri() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the mlFlowTrackingUri property: The URI associated with this workspace that machine learning flow must point at to set up tracking.
mlFlowTrackingUri() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the mlFlowTrackingUri property: The URI associated with this workspace that machine learning flow must point at to set up tracking.
mlFlowTrackingUri() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the mlFlowTrackingUri property: The URI associated with this workspace that machine learning flow must point at to set up tracking.
MLTABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.DataType: Static value mltable for DataType.
MLTABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value mltable for JobInputType.
MLTABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value mltable for JobOutputType.
MLTableData - Class in com.azure.resourcemanager.machinelearning.models: MLTable data definition.
MLTableData() - Constructor for class com.azure.resourcemanager.machinelearning.models.MLTableData: Creates an instance of MLTableData class.
MLTableJobInput - Class in com.azure.resourcemanager.machinelearning.models: The MLTableJobInput model.
MLTableJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Creates an instance of MLTableJobInput class.
MLTableJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The MLTableJobOutput model.
MLTableJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Creates an instance of MLTableJobOutput class.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.AutoForecastHorizon: Get the mode property: [Required] Set forecast horizon value selection mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.AutoNCrossValidations: Get the mode property: [Required] Mode for determining N-Cross validations.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.AutoSeasonality: Get the mode property: [Required] Seasonality mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.AutoTargetLags: Get the mode property: [Required] Set target lags mode - Auto/Custom.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.AutoTargetRollingWindowSize: Get the mode property: [Required] TargetRollingWindowSiz detection mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.CustomForecastHorizon: Get the mode property: [Required] Set forecast horizon value selection mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.CustomNCrossValidations: Get the mode property: [Required] Mode for determining N-Cross validations.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.CustomSeasonality: Get the mode property: [Required] Seasonality mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetLags: Get the mode property: [Required] Set target lags mode - Auto/Custom.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetRollingWindowSize: Get the mode property: [Required] TargetRollingWindowSiz detection mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureImportanceSettings: Get the mode property: The mode of operation for computing feature importance.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastHorizon: Get the mode property: [Required] Set forecast horizon value selection mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.NCrossValidations: Get the mode property: [Required] Mode for determining N-Cross validations.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.Seasonality: Get the mode property: [Required] Seasonality mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Get the mode property: Featurization mode - User can keep the default 'Auto' mode and AutoML will take care of necessary transformation of the data in featurization phase.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.TargetLags: Get the mode property: [Required] Set target lags mode - Auto/Custom.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSize: Get the mode property: [Required] TargetRollingWindowSiz detection mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Get the mode property: Output Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Get the mode property: Input Asset Delivery Mode.
mode() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Get the mode property: Output Asset Delivery Mode.
model() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the model property: Reference to the model asset for the endpoint deployment.
model() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the model property: The URI path to the model.
MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentConfigurationType: Static value Model for BatchDeploymentConfigurationType.
ModelContainer - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ModelContainer.
ModelContainer.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the ModelContainer definition.
ModelContainer.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The ModelContainer definition stages.
ModelContainer.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the ModelContainer definition.
ModelContainer.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelContainer definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
ModelContainer.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelContainer definition allowing to specify parent resource.
ModelContainer.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelContainer definition allowing to specify properties.
ModelContainer.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for ModelContainer update.
ModelContainer.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The ModelContainer update stages.
ModelContainer.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelContainer update allowing to specify properties.
ModelContainerInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
ModelContainerInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerInner: Creates an instance of ModelContainerInner class.
ModelContainerProperties - Class in com.azure.resourcemanager.machinelearning.models: The ModelContainerProperties model.
ModelContainerProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelContainerProperties: Creates an instance of ModelContainerProperties class.
ModelContainerResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of ModelContainer entities.
ModelContainerResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Creates an instance of ModelContainerResourceArmPaginatedResult class.
modelContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of ModelContainers.
ModelContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of ModelContainers.
ModelContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ModelContainersClient.
modelId() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProperties: Get the modelId property: [Required] Target Marketplace Model ID to create a Marketplace Subscription for.
modelId() - Method in class com.azure.resourcemanager.machinelearning.models.ModelSettings: Get the modelId property: The unique model identifier that this ServerlessEndpoint should provision.
modelId() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringTarget: Get the modelId property: Reference to the model asset targeted by this monitor.
modelMountPath() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the modelMountPath property: The path to mount the model in custom container.
modelName() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the modelName property: Name of the model to use for training.
modelName() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the modelName property: Name of the model to use for training.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the modelSettings property: Settings used for training the model.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Get the modelSettings property: Settings used for training the model.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the modelSettings property: Settings used for training the model.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the modelSettings property: Settings used for training the model.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the modelSettings property: Settings used for training the model.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Get the modelSettings property: Settings used for training the model.
modelSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Get the modelSettings property: The model settings (model id) for the model being serviced on the ServerlessEndpoint.
ModelSettings - Class in com.azure.resourcemanager.machinelearning.models: The ModelSettings model.
ModelSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelSettings: Creates an instance of ModelSettings class.
modelSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the modelSize property: Model size.
modelSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the modelSize property: Model size.
ModelSize - Class in com.azure.resourcemanager.machinelearning.models: Image model size.
ModelSize() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelSize: Deprecated.
Use the ModelSize.fromString(String) factory method.
ModelTaskType - Class in com.azure.resourcemanager.machinelearning.models: Model task type enum.
ModelTaskType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelTaskType: Deprecated.
Use the ModelTaskType.fromString(String) factory method.
modelType() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Get the modelType property: The storage format for this entity.
modelUri() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Get the modelUri property: The URI path to the model contents.
ModelVersion - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ModelVersion.
ModelVersion.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the ModelVersion definition.
ModelVersion.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The ModelVersion definition stages.
ModelVersion.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the ModelVersion definition.
ModelVersion.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelVersion definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
ModelVersion.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelVersion definition allowing to specify parent resource.
ModelVersion.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelVersion definition allowing to specify properties.
ModelVersion.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for ModelVersion update.
ModelVersion.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The ModelVersion update stages.
ModelVersion.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ModelVersion update allowing to specify properties.
ModelVersionInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
ModelVersionInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionInner: Creates an instance of ModelVersionInner class.
ModelVersionProperties - Class in com.azure.resourcemanager.machinelearning.models: Model asset version details.
ModelVersionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Creates an instance of ModelVersionProperties class.
ModelVersionResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of ModelVersion entities.
ModelVersionResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Creates an instance of ModelVersionResourceArmPaginatedResult class.
modelVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of ModelVersions.
ModelVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of ModelVersions.
ModelVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ModelVersionsClient.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Get the modifiedOn property: The time at which the compute was last modified.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Get the modifiedOn property: The time at which the compute was last modified.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the modifiedOn property: The time at which the compute was last modified.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Get the modifiedOn property: The time at which the compute was last modified.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Get the modifiedOn property: The time at which the compute was last modified.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Get the modifiedOn property: The time at which the compute was last modified.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Get the modifiedOn property: The time at which the compute was last modified.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Get the modifiedOn property: The time at which the compute was last modified.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Get the modifiedOn property: The time at which the compute was last modified.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Get the modifiedOn property: The time at which the compute was last modified.
modifiedOn() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Get the modifiedOn property: The time at which the compute was last modified.
momentum() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the momentum property: Value of momentum when optimizer is 'sgd'.
momentum() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the momentum property: Value of momentum when optimizer is 'sgd'.
MONDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeWeekDay: Static value Monday for ComputeWeekDay.
MONDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.WeekDay: Static value Monday for WeekDay.
MONGO_DB_ATLAS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value MongoDbAtlas for ConnectionCategory.
MONGO_DB_V2 - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value MongoDbV2 for ConnectionCategory.
MonitorComputeConfigurationBase - Class in com.azure.resourcemanager.machinelearning.models: Monitor compute configuration base definition.
MonitorComputeConfigurationBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitorComputeConfigurationBase: Creates an instance of MonitorComputeConfigurationBase class.
MonitorComputeIdentityBase - Class in com.azure.resourcemanager.machinelearning.models: Monitor compute identity base definition.
MonitorComputeIdentityBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitorComputeIdentityBase: Creates an instance of MonitorComputeIdentityBase class.
MonitorComputeIdentityType - Class in com.azure.resourcemanager.machinelearning.models: Monitor compute identity type enum.
MonitorComputeIdentityType() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitorComputeIdentityType: Deprecated.
Use the MonitorComputeIdentityType.fromString(String) factory method.
MonitorComputeType - Class in com.azure.resourcemanager.machinelearning.models: Monitor compute type enum.
MonitorComputeType() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitorComputeType: Deprecated.
Use the MonitorComputeType.fromString(String) factory method.
monitorDefinition() - Method in class com.azure.resourcemanager.machinelearning.models.CreateMonitorAction: Get the monitorDefinition property: [Required] Defines the monitor.
MonitorDefinition - Class in com.azure.resourcemanager.machinelearning.models: The MonitorDefinition model.
MonitorDefinition() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitorDefinition: Creates an instance of MonitorDefinition class.
MonitorEmailNotificationSettings - Class in com.azure.resourcemanager.machinelearning.models: The MonitorEmailNotificationSettings model.
MonitorEmailNotificationSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitorEmailNotificationSettings: Creates an instance of MonitorEmailNotificationSettings class.
MonitoringFeatureDataType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for MonitoringFeatureDataType.
MonitoringFeatureDataType() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureDataType: Deprecated.
Use the MonitoringFeatureDataType.fromString(String) factory method.
MonitoringFeatureFilterBase - Class in com.azure.resourcemanager.machinelearning.models: The MonitoringFeatureFilterBase model.
MonitoringFeatureFilterBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureFilterBase: Creates an instance of MonitoringFeatureFilterBase class.
MonitoringFeatureFilterType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for MonitoringFeatureFilterType.
MonitoringFeatureFilterType() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureFilterType: Deprecated.
Use the MonitoringFeatureFilterType.fromString(String) factory method.
MonitoringInputDataBase - Class in com.azure.resourcemanager.machinelearning.models: Monitoring input data base definition.
MonitoringInputDataBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Creates an instance of MonitoringInputDataBase class.
MonitoringInputDataType - Class in com.azure.resourcemanager.machinelearning.models: Monitoring input data type enum.
MonitoringInputDataType() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataType: Deprecated.
Use the MonitoringInputDataType.fromString(String) factory method.
MonitoringNotificationType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for MonitoringNotificationType.
MonitoringNotificationType() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitoringNotificationType: Deprecated.
Use the MonitoringNotificationType.fromString(String) factory method.
MonitoringSignalBase - Class in com.azure.resourcemanager.machinelearning.models: The MonitoringSignalBase model.
MonitoringSignalBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitoringSignalBase: Creates an instance of MonitoringSignalBase class.
MonitoringSignalType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for MonitoringSignalType.
MonitoringSignalType() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitoringSignalType: Deprecated.
Use the MonitoringSignalType.fromString(String) factory method.
monitoringTarget() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorDefinition: Get the monitoringTarget property: The entities targeted by the monitor.
MonitoringTarget - Class in com.azure.resourcemanager.machinelearning.models: Monitoring target definition.
MonitoringTarget() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitoringTarget: Creates an instance of MonitoringTarget class.
MonitoringThreshold - Class in com.azure.resourcemanager.machinelearning.models: The MonitoringThreshold model.
MonitoringThreshold() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitoringThreshold: Creates an instance of MonitoringThreshold class.
MonitorNotificationSettings - Class in com.azure.resourcemanager.machinelearning.models: The MonitorNotificationSettings model.
MonitorNotificationSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitorNotificationSettings: Creates an instance of MonitorNotificationSettings class.
MonitorServerlessSparkCompute - Class in com.azure.resourcemanager.machinelearning.models: Monitor serverless spark compute definition.
MonitorServerlessSparkCompute() - Constructor for class com.azure.resourcemanager.machinelearning.models.MonitorServerlessSparkCompute: Creates an instance of MonitorServerlessSparkCompute class.
MONTH - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceFrequency: Static value Month for ComputeRecurrenceFrequency.
MONTH - Static variable in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Static value Month for RecurrenceFrequency.
MONTH - Static variable in class com.azure.resourcemanager.machinelearning.models.RollingRateType: Static value Month for RollingRateType.
monthDays() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule: Get the monthDays property: List of month days for the schedule.
monthDays() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Get the monthDays property: List of month days for the schedule.
MOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.MountAction: Static value Mount for MountAction.
MOUNT_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value MountFailed for MountState.
MOUNT_REQUESTED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value MountRequested for MountState.
mountAction() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the mountAction property: Mount Action.
MountAction - Class in com.azure.resourcemanager.machinelearning.models: Mount Action.
MountAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.MountAction: Deprecated.
Use the MountAction.fromString(String) factory method.
MOUNTED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value Mounted for MountState.
mountedOn() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the mountedOn property: The time when the disk mounted.
mountName() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the mountName property: name of the ComputeInstance data mount.
mountPath() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the mountPath property: Path of this data mount.
mountState() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the mountState property: Mount state.
MountState - Class in com.azure.resourcemanager.machinelearning.models: Mount state.
MountState() - Constructor for class com.azure.resourcemanager.machinelearning.models.MountState: Deprecated.
Use the MountState.fromString(String) factory method.
Mpi - Class in com.azure.resourcemanager.machinelearning.models: MPI distribution configuration.
Mpi() - Constructor for class com.azure.resourcemanager.machinelearning.models.Mpi: Creates an instance of Mpi class.
MPI - Static variable in class com.azure.resourcemanager.machinelearning.models.DistributionType: Static value Mpi for DistributionType.
MULTINOMIAL_NAIVE_BAYES - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value MultinomialNaiveBayes for ClassificationModels.
multiScale() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the multiScale property: Enable multi-scale image by varying image size by +/- 50%.
multiScale() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the multiScale property: Enable multi-scale image by varying image size by +/- 50%.
MY_SQL - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value MySql for ConnectionCategory.

N

NAIVE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value Naive for ForecastingModels.
NAIVE_BAYES - Static variable in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Static value NaiveBayes for BlockedTransformers.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeatureInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetContainerInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityContainerInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityVersionInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.MarketplaceSubscriptionInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OperationInner: Get the name property: The name of the operation, as per Resource-Based Access Control (RBAC).
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OutboundRuleBasicResourceInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the name property: Name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ScheduleInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the name property: The name of the type of usage.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionPropertiesV2BasicResourceInner: Get the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Gets the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the name property: Name of the ComputeInstance container.
name() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Get the name property: name of environment.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Get the name property: Name of the Custom Service.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Gets the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Get the name property: Name of the Endpoint.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.Feature: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.Operation: Gets the name property: The name of the operation, as per Resource-Based Access Control (RBAC).
name() - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource: Gets the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Get the name property: The name of the SKU.
name() - Method in class com.azure.resourcemanager.machinelearning.models.Password: Get the name property: The name property.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the name property: Name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the name property: The name of the resource.
name() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Get the name property: Unique name of the private link.
name() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Get the name property: The name of the SKU.
name() - Method in class com.azure.resourcemanager.machinelearning.models.SkuSetting: Get the name property: [Required] The name of the SKU.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the name property: The name of the type of usage.
name() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the name property: The name of the virtual machine size.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the name property: The name of the resource.
name() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource: Gets the name property: The name of the resource.
namespace() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the namespace property: Compute namespace.
nCrossValidations() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.
nCrossValidations() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.
nCrossValidations() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.
nCrossValidations() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.
NCrossValidations - Class in com.azure.resourcemanager.machinelearning.models: N-Cross validations value.
NCrossValidations() - Constructor for class com.azure.resourcemanager.machinelearning.models.NCrossValidations: Creates an instance of NCrossValidations class.
NCrossValidationsMode - Class in com.azure.resourcemanager.machinelearning.models: Determines how N-Cross validations value is determined.
NCrossValidationsMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.NCrossValidationsMode: Deprecated.
Use the NCrossValidationsMode.fromString(String) factory method.
nesterov() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the nesterov property: Enable nesterov when optimizer is 'sgd'.
nesterov() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the nesterov property: Enable nesterov when optimizer is 'sgd'.
NETEZZA - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Netezza for ConnectionCategory.
network() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the network property: network of this container.
Network - Class in com.azure.resourcemanager.machinelearning.models: network of this container.
Network() - Constructor for class com.azure.resourcemanager.machinelearning.models.Network: Deprecated.
Use the Network.fromString(String) factory method.
networkId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner: Get the networkId property: The networkId property.
networkId() - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettings: Gets the networkId property: The networkId property.
networkSecurityRuleResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the networkSecurityRuleResults property: The networkSecurityRuleResults property.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner: Get the nextLink property: The URI to fetch the next page of workspace quota update result.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodesInformation: Get the nextLink property: The continuation token.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Get the nextLink property: The link to the next page of BatchDeployment objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Get the nextLink property: The link to the next page of BatchEndpoint objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of CodeContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Get the nextLink property: The link to the next page of CodeVersion objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of ComponentContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Get the nextLink property: The link to the next page of ComponentVersion objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of DataContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Get the nextLink property: The link to the next page of Datastore objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Get the nextLink property: The link to the next page of DataVersionBase objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of EnvironmentContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Get the nextLink property: The link to the next page of EnvironmentVersion objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureResourceArmPaginatedResult: Get the nextLink property: The link to the next page of Feature objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of FeaturesetContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionResourceArmPaginatedResult: Get the nextLink property: The link to the next page of FeaturesetVersion objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of FeaturestoreEntityContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionResourceArmPaginatedResult: Get the nextLink property: The link to the next page of FeaturestoreEntityVersion objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Get the nextLink property: The link to the next page of JobBase objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ListAmlUserFeatureResult: Get the nextLink property: The URI to fetch the next page of AML user features information.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ListUsagesResult: Get the nextLink property: The URI to fetch the next page of AML resource usage information.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ListWorkspaceQuotas: Get the nextLink property: The URI to fetch the next page of workspace quota information by VM Family.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionResourceArmPaginatedResult: Get the nextLink property: The link to the next page of MarketplaceSubscription objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Get the nextLink property: The link to the next page of ModelContainer objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Get the nextLink property: The link to the next page of ModelVersion objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Get the nextLink property: The link to the next page of OnlineDeployment objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Get the nextLink property: The link to the next page of OnlineEndpoint objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.OperationListResult: Get the nextLink property: URL to get the next set of operation list results (if there are any).
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRuleListResult: Get the nextLink property: The link to the next page constructed using the continuationToken.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Get the nextLink property: A continuation link (absolute URI) to the next page of results in the list.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryTrackedResourceArmPaginatedResult: Get the nextLink property: The link to the next page of Registry objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleResourceArmPaginatedResult: Get the nextLink property: The link to the next page of Schedule objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointTrackedResourceArmPaginatedResult: Get the nextLink property: The link to the next page of ServerlessEndpoint objects.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Get the nextLink property: The link to the next page of SkuResource objects.
nextLink() - Method in interface com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotasResult: Gets the nextLink property: The URI to fetch the next page of workspace quota update result.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult: Get the nextLink property: The nextLink property.
nextLink() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Get the nextLink property: The URI that can be used to request the next list of machine learning workspaces.
nextVersion() - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Get the nextVersion property: The next auto incremental version.
nextVersion() - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerProperties: Get the nextVersion property: The next auto incremental version.
nextVersion() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerProperties: Get the nextVersion property: The next auto incremental version.
nextVersion() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerProperties: Get the nextVersion property: The next auto incremental version.
nextVersion() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerProperties: Get the nextVersion property: The next auto incremental version.
nextVersion() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerProperties: Get the nextVersion property: The next auto incremental version.
nextVersion() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerProperties: Get the nextVersion property: The next auto incremental version.
nextVersion() - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerProperties: Get the nextVersion property: The next auto incremental version.
NlpVertical - Class in com.azure.resourcemanager.machinelearning.models: Abstract class for NLP related AutoML tasks.
NlpVertical() - Constructor for class com.azure.resourcemanager.machinelearning.models.NlpVertical: Creates an instance of NlpVertical class.
NlpVerticalFeaturizationSettings - Class in com.azure.resourcemanager.machinelearning.models: The NlpVerticalFeaturizationSettings model.
NlpVerticalFeaturizationSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.NlpVerticalFeaturizationSettings: Creates an instance of NlpVerticalFeaturizationSettings class.
NlpVerticalLimitSettings - Class in com.azure.resourcemanager.machinelearning.models: Job execution constraints.
NlpVerticalLimitSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Creates an instance of NlpVerticalLimitSettings class.
nmsIouThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the nmsIouThreshold property: IOU threshold used during inference in NMS post processing.
nmsIouThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the nmsIouThreshold property: IOU threshold used during inference in NMS post processing.
NO_CREDENTIALS - Static variable in class com.azure.resourcemanager.machinelearning.models.DataReferenceCredentialType: Static value NoCredentials for DataReferenceCredentialType.
NO_SQL - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionGroup: Static value NoSQL for ConnectionGroup.
nocopy() - Method in class com.azure.resourcemanager.machinelearning.models.VolumeOptions: Get the nocopy property: Indicate whether volume is nocopy.
nodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the nodeCount property: The number of compute nodes currently assigned to the compute.
nodeId() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the nodeId property: ID of the compute node.
nodeIdleTimeBeforeScaleDown() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Get the nodeIdleTimeBeforeScaleDown property: Node Idle Time before scaling down amlCompute.
nodes() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodesInformation: Get the nodes property: The collection of returned AmlCompute nodes details.
nodes() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the nodes property: Nodes that user would like to start the service on.
Nodes - Class in com.azure.resourcemanager.machinelearning.models: Abstract Nodes definition.
Nodes() - Constructor for class com.azure.resourcemanager.machinelearning.models.Nodes: Creates an instance of Nodes class.
nodeSelector() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Get the nodeSelector property: Node Selector.
nodeSize() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the nodeSize property: Node size.
nodeSizeFamily() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the nodeSizeFamily property: Node size family.
nodeState() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the nodeState property: State of the compute node.
NodeState - Class in com.azure.resourcemanager.machinelearning.models: State of the compute node.
NodeState() - Constructor for class com.azure.resourcemanager.machinelearning.models.NodeState: Deprecated.
Use the NodeState.fromString(String) factory method.
nodeStateCounts() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the nodeStateCounts property: Counts of various node states on the compute.
NodeStateCounts - Class in com.azure.resourcemanager.machinelearning.models: Counts of various compute node states on the amlCompute.
NodeStateCounts() - Constructor for class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Creates an instance of NodeStateCounts class.
nodesValueType() - Method in class com.azure.resourcemanager.machinelearning.models.AllNodes: Get the nodesValueType property: [Required] Type of the Nodes value.
nodesValueType() - Method in class com.azure.resourcemanager.machinelearning.models.Nodes: Get the nodesValueType property: [Required] Type of the Nodes value.
NodesValueType - Class in com.azure.resourcemanager.machinelearning.models: The enumerated types for the nodes value.
NodesValueType() - Constructor for class com.azure.resourcemanager.machinelearning.models.NodesValueType: Deprecated.
Use the NodesValueType.fromString(String) factory method.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.Autosave: Static value None for Autosave.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.Caching: Static value None for Caching.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value None for ConnectionAuthType.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value None for CredentialsType.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.DataAvailabilityStatus: Static value None for DataAvailabilityStatus.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureLags: Static value None for FeatureLags.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler: Static value None for LearningRateScheduler.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Static value None for ManagedServiceIdentityType.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.MaterializationStoreType: Static value None for MaterializationStoreType.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelSize: Static value None for ModelSize.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.PendingUploadType: Static value None for PendingUploadType.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity: Static value None for ServiceDataAccessAuthIdentity.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Static value None for ShortSeriesHandlingConfiguration.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.SkuScaleType: Static value None for SkuScaleType.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Static value None for StackMetaLearnerType.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Static value None for StochasticOptimizer.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Static value None for TargetAggregationFunction.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.UseStl: Static value None for UseStl.
NONE - Static variable in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Static value None for ValidationMetricType.
NoneAuthTypeWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: The NoneAuthTypeWorkspaceConnectionProperties model.
NoneAuthTypeWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Creates an instance of NoneAuthTypeWorkspaceConnectionProperties class.
NoneDatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: Empty/none datastore credentials.
NoneDatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.NoneDatastoreCredentials: Creates an instance of NoneDatastoreCredentials class.
NORM_MACRO_RECALL - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value NormMacroRecall for ClassificationMultilabelPrimaryMetrics.
NORM_MACRO_RECALL - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Static value NormMacroRecall for ClassificationPrimaryMetrics.
NORMALIZED_DISCOUNTED_CUMULATIVE_GAIN - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetric: Static value NormalizedDiscountedCumulativeGain for FeatureAttributionMetric.
NORMALIZED_MEAN_ABSOLUTE_ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Static value NormalizedMeanAbsoluteError for ForecastingPrimaryMetrics.
NORMALIZED_MEAN_ABSOLUTE_ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Static value NormalizedMeanAbsoluteError for RegressionPrimaryMetrics.
NORMALIZED_ROOT_MEAN_SQUARED_ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Static value NormalizedRootMeanSquaredError for ForecastingPrimaryMetrics.
NORMALIZED_ROOT_MEAN_SQUARED_ERROR - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Static value NormalizedRootMeanSquaredError for RegressionPrimaryMetrics.
NORMALIZED_WASSERSTEIN_DISTANCE - Static variable in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetric: Static value NormalizedWassersteinDistance for NumericalDataDriftMetric.
NORMALIZED_WASSERSTEIN_DISTANCE - Static variable in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetric: Static value NormalizedWassersteinDistance for NumericalPredictionDriftMetric.
NOT_RESPONDING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value NotResponding for JobStatus.
NOT_SET - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value NotSet for LogVerbosity.
NOT_SPECIFIED - Static variable in class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess: Static value NotSpecified for RemoteLoginPortPublicAccess.
NOT_STARTED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value NotStarted for JobStatus.
notebookAccessKeys() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Get the notebookAccessKeys property: The notebookAccessKeys property.
notebookAccessKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the notebookAccessKeys property: The notebookAccessKeys property.
NotebookAccessTokenResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of NotebookAccessTokenResult.
NotebookAccessTokenResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The NotebookAccessTokenResult model.
NotebookAccessTokenResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Creates an instance of NotebookAccessTokenResultInner class.
notebookInfo() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the notebookInfo property: The notebook info of Azure ML workspace.
notebookInfo() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the notebookInfo property: The notebook info of Azure ML workspace.
notebookInfo() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the notebookInfo property: The notebook info of Azure ML workspace.
notebookInfo() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the notebookInfo property: The notebook info of Azure ML workspace.
notebookPreparationError() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Get the notebookPreparationError property: The error that occurs when preparing notebook.
notebookPreparationError() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookResourceInfo: Gets the notebookPreparationError property: The error that occurs when preparing notebook.
NotebookPreparationError - Class in com.azure.resourcemanager.machinelearning.models: The NotebookPreparationError model.
NotebookPreparationError() - Constructor for class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Creates an instance of NotebookPreparationError class.
notebookResourceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the notebookResourceId property: The notebookResourceId property.
notebookResourceId() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the notebookResourceId property: The notebookResourceId property.
NotebookResourceInfo - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of NotebookResourceInfo.
NotebookResourceInfoInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The NotebookResourceInfo model.
NotebookResourceInfoInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Creates an instance of NotebookResourceInfoInner class.
notebookServerPort() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the notebookServerPort property: Notebook server port open for ssh connections.
notification() - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Get the notification property: Specifies the notification details.
notificationSetting() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Get the notificationSetting property: Notification setting for the job.
NotificationSetting - Class in com.azure.resourcemanager.machinelearning.models: Configuration for notification.
NotificationSetting() - Constructor for class com.azure.resourcemanager.machinelearning.models.NotificationSetting: Creates an instance of NotificationSetting class.
notificationTypes() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalBase: Get the notificationTypes property: The current notification mode for this signal.
NPIPE - Static variable in class com.azure.resourcemanager.machinelearning.models.VolumeDefinitionType: Static value npipe for VolumeDefinitionType.
nsg() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the nsg property: Setting for diagnosing network security group.
NULL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobTier: Static value Null for JobTier.
NULL_VALUE_RATE - Static variable in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetric: Static value NullValueRate for CategoricalDataQualityMetric.
NULL_VALUE_RATE - Static variable in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetric: Static value NullValueRate for NumericalDataQualityMetric.
numberOfEpochs() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the numberOfEpochs property: Number of training epochs.
numberOfEpochs() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the numberOfEpochs property: Number of training epochs.
numberOfWorkers() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the numberOfWorkers property: Number of data loader workers.
numberOfWorkers() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the numberOfWorkers property: Number of data loader workers.
NUMERICAL - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureDataType: Static value Numerical for MonitoringFeatureDataType.
NumericalDataDriftMetric - Class in com.azure.resourcemanager.machinelearning.models: Defines values for NumericalDataDriftMetric.
NumericalDataDriftMetric() - Constructor for class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetric: Deprecated.
Use the NumericalDataDriftMetric.fromString(String) factory method.
NumericalDataDriftMetricThreshold - Class in com.azure.resourcemanager.machinelearning.models: The NumericalDataDriftMetricThreshold model.
NumericalDataDriftMetricThreshold() - Constructor for class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetricThreshold: Creates an instance of NumericalDataDriftMetricThreshold class.
NumericalDataQualityMetric - Class in com.azure.resourcemanager.machinelearning.models: Defines values for NumericalDataQualityMetric.
NumericalDataQualityMetric() - Constructor for class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetric: Deprecated.
Use the NumericalDataQualityMetric.fromString(String) factory method.
NumericalDataQualityMetricThreshold - Class in com.azure.resourcemanager.machinelearning.models: The NumericalDataQualityMetricThreshold model.
NumericalDataQualityMetricThreshold() - Constructor for class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetricThreshold: Creates an instance of NumericalDataQualityMetricThreshold class.
NumericalPredictionDriftMetric - Class in com.azure.resourcemanager.machinelearning.models: Defines values for NumericalPredictionDriftMetric.
NumericalPredictionDriftMetric() - Constructor for class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetric: Deprecated.
Use the NumericalPredictionDriftMetric.fromString(String) factory method.
NumericalPredictionDriftMetricThreshold - Class in com.azure.resourcemanager.machinelearning.models: The NumericalPredictionDriftMetricThreshold model.
NumericalPredictionDriftMetricThreshold() - Constructor for class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetricThreshold: Creates an instance of NumericalPredictionDriftMetricThreshold class.

O

OAUTH2 - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value OAuth2 for ConnectionAuthType.
OAuth2AuthTypeWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: The OAuth2AuthTypeWorkspaceConnectionProperties model.
OAuth2AuthTypeWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Creates an instance of OAuth2AuthTypeWorkspaceConnectionProperties class.
ObjectDetectionPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Primary metrics for Image ObjectDetection task.
ObjectDetectionPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.ObjectDetectionPrimaryMetrics: Deprecated.
Use the ObjectDetectionPrimaryMetrics.fromString(String) factory method.
objectId() - Method in class com.azure.resourcemanager.machinelearning.models.AssignedUser: Get the objectId property: User’s AAD Object Id.
objectId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Get the objectId property: Specifies a user-assigned identity by object ID.
objective() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the objective property: [Required] Optimization objective.
Objective - Class in com.azure.resourcemanager.machinelearning.models: Optimization objective.
Objective() - Constructor for class com.azure.resourcemanager.machinelearning.models.Objective: Creates an instance of Objective class.
ODATA_REST - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value ODataRest for ConnectionCategory.
ODBC - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Odbc for ConnectionCategory.
OFF - Static variable in class com.azure.resourcemanager.machinelearning.models.FeaturizationMode: Static value Off for FeaturizationMode.
offerId() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplacePlan: Get the offerId property: The identifying name of the Offer of the Marketplace Plan.
OFFICE365 - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Office365 for ConnectionCategory.
OFFLINE - Static variable in class com.azure.resourcemanager.machinelearning.models.MaterializationStoreType: Static value Offline for MaterializationStoreType.
offlineStoreConnectionName() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureStoreSettings: Get the offlineStoreConnectionName property: The offlineStoreConnectionName property.
ON_BASE_IMAGE_UPDATE - Static variable in class com.azure.resourcemanager.machinelearning.models.AutoRebuildSetting: Static value OnBaseImageUpdate for AutoRebuildSetting.
ONE_HOT_ENCODER - Static variable in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Static value OneHotEncoder for BlockedTransformers.
ONE_HOUR - Static variable in class com.azure.resourcemanager.machinelearning.models.UnitOfMeasure: Static value OneHour for UnitOfMeasure.
ONE_LAKE - Static variable in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Static value OneLake for DatastoreType.
OneLakeArtifact - Class in com.azure.resourcemanager.machinelearning.models: OneLake artifact (data source) configuration.
OneLakeArtifact() - Constructor for class com.azure.resourcemanager.machinelearning.models.OneLakeArtifact: Creates an instance of OneLakeArtifact class.
OneLakeArtifactType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine OneLake artifact type.
OneLakeArtifactType() - Constructor for class com.azure.resourcemanager.machinelearning.models.OneLakeArtifactType: Deprecated.
Use the OneLakeArtifactType.fromString(String) factory method.
OneLakeDatastore - Class in com.azure.resourcemanager.machinelearning.models: OneLake (Trident) datastore configuration.
OneLakeDatastore() - Constructor for class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Creates an instance of OneLakeDatastore class.
oneLakeWorkspaceName() - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Get the oneLakeWorkspaceName property: [Required] OneLake workspace name.
ONLINE - Static variable in class com.azure.resourcemanager.machinelearning.models.MaterializationStoreType: Static value Online for MaterializationStoreType.
ONLINE - Static variable in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Static value Online for ServerlessEndpointState.
ONLINE_AND_OFFLINE - Static variable in class com.azure.resourcemanager.machinelearning.models.MaterializationStoreType: Static value OnlineAndOffline for MaterializationStoreType.
OnlineDeployment - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of OnlineDeployment.
OnlineDeployment.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the OnlineDeployment definition.
OnlineDeployment.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The OnlineDeployment definition stages.
OnlineDeployment.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the OnlineDeployment definition.
OnlineDeployment.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeployment definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
OnlineDeployment.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeployment definition allowing to specify identity.
OnlineDeployment.DefinitionStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeployment definition allowing to specify kind.
OnlineDeployment.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeployment definition allowing to specify location.
OnlineDeployment.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeployment definition allowing to specify parent resource.
OnlineDeployment.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeployment definition allowing to specify properties.
OnlineDeployment.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeployment definition allowing to specify sku.
OnlineDeployment.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeployment definition allowing to specify tags.
OnlineDeployment.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for OnlineDeployment update.
OnlineDeployment.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The OnlineDeployment update stages.
OnlineDeployment.UpdateStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeployment update allowing to specify sku.
OnlineDeployment.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineDeployment update allowing to specify tags.
OnlineDeploymentInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The OnlineDeployment model.
OnlineDeploymentInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Creates an instance of OnlineDeploymentInner class.
OnlineDeploymentProperties - Class in com.azure.resourcemanager.machinelearning.models: The OnlineDeploymentProperties model.
OnlineDeploymentProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Creates an instance of OnlineDeploymentProperties class.
onlineDeployments() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of OnlineDeployments.
OnlineDeployments - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of OnlineDeployments.
OnlineDeploymentsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in OnlineDeploymentsClient.
OnlineDeploymentTrackedResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of OnlineDeployment entities.
OnlineDeploymentTrackedResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Creates an instance of OnlineDeploymentTrackedResourceArmPaginatedResult class.
OnlineEndpoint - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of OnlineEndpoint.
OnlineEndpoint.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the OnlineEndpoint definition.
OnlineEndpoint.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The OnlineEndpoint definition stages.
OnlineEndpoint.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the OnlineEndpoint definition.
OnlineEndpoint.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpoint definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
OnlineEndpoint.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpoint definition allowing to specify identity.
OnlineEndpoint.DefinitionStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpoint definition allowing to specify kind.
OnlineEndpoint.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpoint definition allowing to specify location.
OnlineEndpoint.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpoint definition allowing to specify parent resource.
OnlineEndpoint.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpoint definition allowing to specify properties.
OnlineEndpoint.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpoint definition allowing to specify sku.
OnlineEndpoint.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpoint definition allowing to specify tags.
OnlineEndpoint.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for OnlineEndpoint update.
OnlineEndpoint.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The OnlineEndpoint update stages.
OnlineEndpoint.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpoint update allowing to specify identity.
OnlineEndpoint.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OnlineEndpoint update allowing to specify tags.
OnlineEndpointInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The OnlineEndpoint model.
OnlineEndpointInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Creates an instance of OnlineEndpointInner class.
OnlineEndpointProperties - Class in com.azure.resourcemanager.machinelearning.models: Online endpoint configuration.
OnlineEndpointProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Creates an instance of OnlineEndpointProperties class.
onlineEndpoints() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of OnlineEndpoints.
OnlineEndpoints - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of OnlineEndpoints.
OnlineEndpointsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in OnlineEndpointsClient.
OnlineEndpointTrackedResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of OnlineEndpoint entities.
OnlineEndpointTrackedResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Creates an instance of OnlineEndpointTrackedResourceArmPaginatedResult class.
OnlineRequestSettings - Class in com.azure.resourcemanager.machinelearning.models: Online deployment scoring requests configuration.
OnlineRequestSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Creates an instance of OnlineRequestSettings class.
OnlineScaleSettings - Class in com.azure.resourcemanager.machinelearning.models: Online deployment scaling configuration.
OnlineScaleSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.OnlineScaleSettings: Creates an instance of OnlineScaleSettings class.
onlineStoreConnectionName() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureStoreSettings: Get the onlineStoreConnectionName property: The onlineStoreConnectionName property.
OPEN_AI - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value OpenAI for ConnectionCategory.
OperatingSystemType - Class in com.azure.resourcemanager.machinelearning.models: The type of operating system.
OperatingSystemType() - Constructor for class com.azure.resourcemanager.machinelearning.models.OperatingSystemType: Deprecated.
Use the OperatingSystemType.fromString(String) factory method.
operation() - Method in class com.azure.resourcemanager.machinelearning.models.OperationDisplay: Get the operation property: The concise, localized friendly name for the operation; suitable for dropdowns.
Operation - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of Operation.
OPERATION_NOT_ENABLED_FOR_REGION - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value OperationNotEnabledForRegion for Status.
OPERATION_NOT_SUPPORTED_FOR_SKU - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value OperationNotSupportedForSku for Status.
OperationDisplay - Class in com.azure.resourcemanager.machinelearning.models: Localized display information for this particular operation.
OperationDisplay() - Constructor for class com.azure.resourcemanager.machinelearning.models.OperationDisplay: Creates an instance of OperationDisplay class.
OperationInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: REST API Operation Details of a REST API operation, returned from the Resource Provider Operations API.
OperationInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.OperationInner: Creates an instance of OperationInner class.
OperationListResult - Class in com.azure.resourcemanager.machinelearning.models: A list of REST API operations supported by an Azure Resource Provider.
OperationListResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.OperationListResult: Creates an instance of OperationListResult class.
operationName() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Get the operationName property: Name of the last operation.
OperationName - Class in com.azure.resourcemanager.machinelearning.models: Name of the last operation.
OperationName() - Constructor for class com.azure.resourcemanager.machinelearning.models.OperationName: Deprecated.
Use the OperationName.fromString(String) factory method.
operations() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Operations.
Operations - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Operations.
OperationsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in OperationsClient.
operationStatus() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Get the operationStatus property: Operation status.
OperationStatus - Class in com.azure.resourcemanager.machinelearning.models: Operation status.
OperationStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.OperationStatus: Deprecated.
Use the OperationStatus.fromString(String) factory method.
operationTime() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Get the operationTime property: Time of the last operation.
operationTrigger() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Get the operationTrigger property: Trigger of operation.
OperationTrigger - Class in com.azure.resourcemanager.machinelearning.models: Trigger of operation.
OperationTrigger() - Constructor for class com.azure.resourcemanager.machinelearning.models.OperationTrigger: Deprecated.
Use the OperationTrigger.fromString(String) factory method.
optimizer() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the optimizer property: Type of optimizer.
optimizer() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the optimizer property: Type of optimizer.
ORACLE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Oracle for ConnectionCategory.
ORACLE_CLOUD_STORAGE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value OracleCloudStorage for ConnectionCategory.
ORACLE_SERVICE_CLOUD - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value OracleServiceCloud for ConnectionCategory.
OrderString - Class in com.azure.resourcemanager.machinelearning.models: Defines values for OrderString.
OrderString() - Constructor for class com.azure.resourcemanager.machinelearning.models.OrderString: Deprecated.
Use the OrderString.fromString(String) factory method.
origin() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OperationInner: Get the origin property: The intended executor of the operation; as in Resource Based Access Control (RBAC) and audit logs UX.
origin() - Method in interface com.azure.resourcemanager.machinelearning.models.Operation: Gets the origin property: The intended executor of the operation; as in Resource Based Access Control (RBAC) and audit logs UX.
Origin - Class in com.azure.resourcemanager.machinelearning.models: The intended executor of the operation; as in Resource Based Access Control (RBAC) and audit logs UX.
Origin() - Constructor for class com.azure.resourcemanager.machinelearning.models.Origin: Deprecated.
Use the Origin.fromString(String) factory method.
osImageMetadata() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the osImageMetadata property: Returns metadata about the operating system image for this compute instance.
osType() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the osType property: Compute OS Type.
osType() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Get the osType property: The OS type of the environment.
osType() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Get the osType property: Operating system type used by the VM.
OsType - Class in com.azure.resourcemanager.machinelearning.models: Compute OS Type.
OsType() - Constructor for class com.azure.resourcemanager.machinelearning.models.OsType: Deprecated.
Use the OsType.fromString(String) factory method.
osVhdSizeMB() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the osVhdSizeMB property: The OS VHD disk size, in MB, allowed by the virtual machine size.
otherResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the otherResults property: The otherResults property.
others() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the others property: Setting for diagnosing unclassified category of problems.
OUT_OF_BOUNDS_RATE - Static variable in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetric: Static value OutOfBoundsRate for CategoricalDataQualityMetric.
OUT_OF_BOUNDS_RATE - Static variable in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetric: Static value OutOfBoundsRate for NumericalDataQualityMetric.
OutboundRule - Class in com.azure.resourcemanager.machinelearning.models: Outbound Rule for the managed network of a machine learning workspace.
OutboundRule() - Constructor for class com.azure.resourcemanager.machinelearning.models.OutboundRule: Creates an instance of OutboundRule class.
OutboundRuleBasicResource - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of OutboundRuleBasicResource.
OutboundRuleBasicResource.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the OutboundRuleBasicResource definition.
OutboundRuleBasicResource.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The OutboundRuleBasicResource definition stages.
OutboundRuleBasicResource.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the OutboundRuleBasicResource definition.
OutboundRuleBasicResource.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OutboundRuleBasicResource definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
OutboundRuleBasicResource.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OutboundRuleBasicResource definition allowing to specify parent resource.
OutboundRuleBasicResource.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OutboundRuleBasicResource definition allowing to specify properties.
OutboundRuleBasicResource.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for OutboundRuleBasicResource update.
OutboundRuleBasicResource.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The OutboundRuleBasicResource update stages.
OutboundRuleBasicResource.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the OutboundRuleBasicResource update allowing to specify properties.
OutboundRuleBasicResourceInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Outbound Rule Basic Resource for the managed network of a machine learning workspace.
OutboundRuleBasicResourceInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.OutboundRuleBasicResourceInner: Creates an instance of OutboundRuleBasicResourceInner class.
OutboundRuleListResult - Class in com.azure.resourcemanager.machinelearning.models: List of outbound rules for the managed network of a machine learning workspace.
OutboundRuleListResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.OutboundRuleListResult: Creates an instance of OutboundRuleListResult class.
outboundRules() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner: Get the outboundRules property: Dictionary of <OutboundRule>.
outboundRules() - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettings: Gets the outboundRules property: Dictionary of <OutboundRule>.
OUTPUT_PATH - Static variable in class com.azure.resourcemanager.machinelearning.models.ReferenceType: Static value OutputPath for ReferenceType.
outputAction() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the outputAction property: Indicates how the output will be organized.
OutputDeliveryMode - Class in com.azure.resourcemanager.machinelearning.models: Output data delivery mode enums.
OutputDeliveryMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.OutputDeliveryMode: Deprecated.
Use the OutputDeliveryMode.fromString(String) factory method.
outputFileName() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the outputFileName property: Customized output file name for append_row output action.
OutputPathAssetReference - Class in com.azure.resourcemanager.machinelearning.models: Reference to an asset via its path in a job output.
OutputPathAssetReference() - Constructor for class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Creates an instance of OutputPathAssetReference class.
outputs() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the outputs property: Mapping of output data bindings used in the job.
outputs() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the outputs property: Mapping of output data bindings used in the job.
outputs() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Get the outputs property: Outputs for the pipeline job.
outputs() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the outputs property: Mapping of output data bindings used in the job.
outputs() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the outputs property: Mapping of output data bindings used in the job.
overwriteExistingDomain() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the overwriteExistingDomain property: Indicates whether to overwrite existing domain label.

P

PAD - Static variable in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Static value Pad for ShortSeriesHandlingConfiguration.
PaginatedComputeResourcesList - Class in com.azure.resourcemanager.machinelearning.models: Paginated list of Machine Learning compute objects wrapped in ARM resource envelope.
PaginatedComputeResourcesList() - Constructor for class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Creates an instance of PaginatedComputeResourcesList class.
parameters() - Method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Get the parameters property: Different properties to be passed to transformer.
parameters() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the parameters property: Input parameters.
parameterServerCount() - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Get the parameterServerCount property: Number of parameter server tasks.
PartialBatchDeployment - Class in com.azure.resourcemanager.machinelearning.models: Mutable batch inference settings per deployment.
PartialBatchDeployment() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Creates an instance of PartialBatchDeployment class.
PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties - Class in com.azure.resourcemanager.machinelearning.models: Strictly used in update requests.
PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties: Creates an instance of PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties class.
PartialManagedServiceIdentity - Class in com.azure.resourcemanager.machinelearning.models: Managed service identity (system assigned and/or user assigned identities).
PartialManagedServiceIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Creates an instance of PartialManagedServiceIdentity class.
PartialMinimalTrackedResource - Class in com.azure.resourcemanager.machinelearning.models: Strictly used in update requests.
PartialMinimalTrackedResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResource: Creates an instance of PartialMinimalTrackedResource class.
PartialMinimalTrackedResourceWithIdentity - Class in com.azure.resourcemanager.machinelearning.models: Strictly used in update requests.
PartialMinimalTrackedResourceWithIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithIdentity: Creates an instance of PartialMinimalTrackedResourceWithIdentity class.
PartialMinimalTrackedResourceWithSku - Class in com.azure.resourcemanager.machinelearning.models: Strictly used in update requests.
PartialMinimalTrackedResourceWithSku() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSku: Creates an instance of PartialMinimalTrackedResourceWithSku class.
PartialMinimalTrackedResourceWithSkuAndIdentity - Class in com.azure.resourcemanager.machinelearning.models: Strictly used in update requests.
PartialMinimalTrackedResourceWithSkuAndIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSkuAndIdentity: Creates an instance of PartialMinimalTrackedResourceWithSkuAndIdentity class.
PartialRegistryPartialTrackedResource - Class in com.azure.resourcemanager.machinelearning.models: Strictly used in update requests.
PartialRegistryPartialTrackedResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialRegistryPartialTrackedResource: Creates an instance of PartialRegistryPartialTrackedResource class.
PartialSku - Class in com.azure.resourcemanager.machinelearning.models: Common SKU definition.
PartialSku() - Constructor for class com.azure.resourcemanager.machinelearning.models.PartialSku: Creates an instance of PartialSku class.
password() - Method in class com.azure.resourcemanager.machinelearning.models.DockerCredential: Get the password property: DockerCredential user password.
password() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Get the password property: Password of admin account.
password() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Get the password property: The password property.
password() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionUsernamePassword: Get the password property: The password property.
Password - Class in com.azure.resourcemanager.machinelearning.models: The Password model.
Password() - Constructor for class com.azure.resourcemanager.machinelearning.models.Password: Creates an instance of Password class.
passwords() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Get the passwords property: The passwords property.
pat() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPersonalAccessToken: Get the pat property: The pat property.
PAT - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value PAT for ConnectionAuthType.
PatAuthTypeWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: The PatAuthTypeWorkspaceConnectionProperties model.
PatAuthTypeWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Creates an instance of PatAuthTypeWorkspaceConnectionProperties class.
path() - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Get the path property: The path of the file/directory in the datastore.
path() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetSpecification: Get the path property: Specifies the spec path.
path() - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Get the path property: The path of the file/directory in the job output.
path() - Method in class com.azure.resourcemanager.machinelearning.models.Route: Get the path property: [Required] The path for the route.
PAUSED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Paused for JobStatus.
PAY_PAL - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value PayPal for ConnectionCategory.
PEARSONS_CHI_SQUARED_TEST - Static variable in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetric: Static value PearsonsChiSquaredTest for CategoricalDataDriftMetric.
PEARSONS_CHI_SQUARED_TEST - Static variable in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetric: Static value PearsonsChiSquaredTest for CategoricalPredictionDriftMetric.
PENDING - Static variable in class com.azure.resourcemanager.machinelearning.models.DataAvailabilityStatus: Static value Pending for DataAvailabilityStatus.
PENDING - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointServiceConnectionStatus: Static value Pending for EndpointServiceConnectionStatus.
PENDING - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Static value Pending for PrivateEndpointServiceConnectionStatus.
PendingUploadCredentialDto - Class in com.azure.resourcemanager.machinelearning.models: The PendingUploadCredentialDto model.
PendingUploadCredentialDto() - Constructor for class com.azure.resourcemanager.machinelearning.models.PendingUploadCredentialDto: Creates an instance of PendingUploadCredentialDto class.
PendingUploadCredentialType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the PendingUpload credentials type.
PendingUploadCredentialType() - Constructor for class com.azure.resourcemanager.machinelearning.models.PendingUploadCredentialType: Deprecated.
Use the PendingUploadCredentialType.fromString(String) factory method.
pendingUploadId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PendingUploadResponseDtoInner: Get the pendingUploadId property: ID for this upload request.
pendingUploadId() - Method in class com.azure.resourcemanager.machinelearning.models.PendingUploadRequestDto: Get the pendingUploadId property: If PendingUploadId = null then random guid will be used.
pendingUploadId() - Method in interface com.azure.resourcemanager.machinelearning.models.PendingUploadResponseDto: Gets the pendingUploadId property: ID for this upload request.
PendingUploadRequestDto - Class in com.azure.resourcemanager.machinelearning.models: The PendingUploadRequestDto model.
PendingUploadRequestDto() - Constructor for class com.azure.resourcemanager.machinelearning.models.PendingUploadRequestDto: Creates an instance of PendingUploadRequestDto class.
PendingUploadResponseDto - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of PendingUploadResponseDto.
PendingUploadResponseDtoInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The PendingUploadResponseDto model.
PendingUploadResponseDtoInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.PendingUploadResponseDtoInner: Creates an instance of PendingUploadResponseDtoInner class.
pendingUploadType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PendingUploadResponseDtoInner: Get the pendingUploadType property: TemporaryBlobReference is the only supported type.
pendingUploadType() - Method in class com.azure.resourcemanager.machinelearning.models.PendingUploadRequestDto: Get the pendingUploadType property: TemporaryBlobReference is the only supported type.
pendingUploadType() - Method in interface com.azure.resourcemanager.machinelearning.models.PendingUploadResponseDto: Gets the pendingUploadType property: TemporaryBlobReference is the only supported type.
PendingUploadType - Class in com.azure.resourcemanager.machinelearning.models: Type of storage to use for the pending upload location.
PendingUploadType() - Constructor for class com.azure.resourcemanager.machinelearning.models.PendingUploadType: Deprecated.
Use the PendingUploadType.fromString(String) factory method.
period() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Get the period property: The length of time between probes in ISO 8601 format.
PERSONAL - Static variable in class com.azure.resourcemanager.machinelearning.models.ApplicationSharingPolicy: Static value Personal for ApplicationSharingPolicy.
PERSONAL - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceAuthorizationType: Static value personal for ComputeInstanceAuthorizationType.
personalComputeInstanceSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the personalComputeInstanceSettings property: Settings for a personal compute instance.
PersonalComputeInstanceSettings - Class in com.azure.resourcemanager.machinelearning.models: Settings for a personal compute instance.
PersonalComputeInstanceSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.PersonalComputeInstanceSettings: Creates an instance of PersonalComputeInstanceSettings class.
PHOENIX - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Phoenix for ConnectionCategory.
PIPELINE - Static variable in class com.azure.resourcemanager.machinelearning.models.JobType: Static value Pipeline for JobType.
PIPELINE_COMPONENT - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentConfigurationType: Static value PipelineComponent for BatchDeploymentConfigurationType.
PipelineJob - Class in com.azure.resourcemanager.machinelearning.models: Pipeline Job definition: defines generic to MFE attributes.
PipelineJob() - Constructor for class com.azure.resourcemanager.machinelearning.models.PipelineJob: Creates an instance of PipelineJob class.
planId() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplacePlan: Get the planId property: The identifying name of the Plan of the Marketplace Plan.
policyType() - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Get the policyType property: [Required] Name of policy configuration.
policyType() - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Get the policyType property: [Required] Name of policy configuration.
policyType() - Method in class com.azure.resourcemanager.machinelearning.models.MedianStoppingPolicy: Get the policyType property: [Required] Name of policy configuration.
policyType() - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Get the policyType property: [Required] Name of policy configuration.
pollingInterval() - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Get the pollingInterval property: The polling interval in ISO 8691 format.
poolName() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the poolName property: Pool name.
POPULATION_STABILITY_INDEX - Static variable in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetric: Static value PopulationStabilityIndex for CategoricalDataDriftMetric.
POPULATION_STABILITY_INDEX - Static variable in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetric: Static value PopulationStabilityIndex for CategoricalPredictionDriftMetric.
POPULATION_STABILITY_INDEX - Static variable in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetric: Static value PopulationStabilityIndex for NumericalDataDriftMetric.
POPULATION_STABILITY_INDEX - Static variable in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetric: Static value PopulationStabilityIndex for NumericalPredictionDriftMetric.
port() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the port property: SSH port number of the node.
port() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointDetail: Get the port property: The port property.
port() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the port property: Port for endpoint.
port() - Method in class com.azure.resourcemanager.machinelearning.models.Route: Get the port property: [Required] The port for the route.
portRanges() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Get the portRanges property: The portRanges property.
positiveLabel() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the positiveLabel property: Positive label for binary metrics calculation.
POSTGRE_SQL - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value PostgreSql for ConnectionCategory.
PRECISION_SCORE_WEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Static value PrecisionScoreWeighted for ClassificationMultilabelPrimaryMetrics.
PRECISION_SCORE_WEIGHTED - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Static value PrecisionScoreWeighted for ClassificationPrimaryMetrics.
PREDICTION_DRIFT - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalType: Static value PredictionDrift for MonitoringSignalType.
PredictionDriftMetricThresholdBase - Class in com.azure.resourcemanager.machinelearning.models: The PredictionDriftMetricThresholdBase model.
PredictionDriftMetricThresholdBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.PredictionDriftMetricThresholdBase: Creates an instance of PredictionDriftMetricThresholdBase class.
PredictionDriftMonitoringSignal - Class in com.azure.resourcemanager.machinelearning.models: The PredictionDriftMonitoringSignal model.
PredictionDriftMonitoringSignal() - Constructor for class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Creates an instance of PredictionDriftMonitoringSignal class.
PREEMPTED - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value preempted for NodeState.
preemptedNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the preemptedNodeCount property: Number of compute nodes which are in preempted state.
PREMIUM - Enum constant in enum com.azure.resourcemanager.machinelearning.models.SkuTier: Enum value Premium.
PREMIUM - Static variable in class com.azure.resourcemanager.machinelearning.models.JobTier: Static value Premium for JobTier.
PREMIUM_LRS - Static variable in class com.azure.resourcemanager.machinelearning.models.StorageAccountType: Static value Premium_LRS for StorageAccountType.
premiumIO() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the premiumIO property: Specifies if the virtual machine size supports premium IO.
prepareNotebook() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Prepare a notebook.
prepareNotebook(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Prepare a notebook.
prepareNotebook(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Prepare a notebook.
prepareNotebook(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Prepare a notebook.
prepareNotebook(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Prepare a notebook.
prepareNotebook(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Prepare a notebook.
PREPARING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Preparing for JobStatus.
PREPARING - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value preparing for NodeState.
preparingNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the preparingNodeCount property: Number of compute nodes which are being prepared.
preprocessingComponentId() - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Get the preprocessingComponentId property: Reference to the component asset used to preprocess the data.
preprocessingComponentId() - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Get the preprocessingComponentId property: Reference to the component asset used to preprocess the data.
PRESTO - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Presto for ConnectionCategory.
PRIMARY - Static variable in class com.azure.resourcemanager.machinelearning.models.KeyType: Static value Primary for KeyType.
primaryAccessKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner: Get the primaryAccessKey property: The primaryAccessKey property.
primaryAccessKey() - Method in interface com.azure.resourcemanager.machinelearning.models.ListNotebookKeysResult: Gets the primaryAccessKey property: The primaryAccessKey property.
primaryKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Get the primaryKey property: The primary key.
primaryKey() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthKeys: Gets the primaryKey property: The primary key.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the primaryMetric property: Primary metric for the task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the primaryMetric property: Primary metric for forecasting task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the primaryMetric property: Primary metric to optimize for this task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the primaryMetric property: Primary metric to optimize for this task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the primaryMetric property: Primary metric to optimize for this task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the primaryMetric property: Primary metric to optimize for this task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.Objective: Get the primaryMetric property: [Required] Name of the metric to optimize.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the primaryMetric property: Primary metric for regression task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Get the primaryMetric property: Primary metric for Text-Classification task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Get the primaryMetric property: Primary metric for Text-Classification-Multilabel task.
primaryMetric() - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Get the primaryMetric property: Primary metric for Text-NER task.
primaryUserAssignedIdentity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
primaryUserAssignedIdentity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
primaryUserAssignedIdentity() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
primaryUserAssignedIdentity() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
primaryUserAssignedIdentity() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
primaryUserAssignedIdentity() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
primaryUserAssignedIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
principalId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Get the principalId property: The service principal ID of the system assigned identity.
principalId() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPartialManagedServiceIdentity: Get the principalId property: The service principal ID of the system assigned identity.
principalId() - Method in class com.azure.resourcemanager.machinelearning.models.UserAssignedIdentity: Get the principalId property: The principal ID of the assigned identity.
PRIVATE_ENDPOINT - Static variable in class com.azure.resourcemanager.machinelearning.models.RuleType: Static value PrivateEndpoint for RuleType.
privateEndpoint() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the privateEndpoint property: The resource of private end point.
privateEndpoint() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Get the privateEndpoint property: The resource of private end point.
privateEndpoint() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties: Get the privateEndpoint property: The PE network resource that is linked to this PE connection.
privateEndpoint() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the privateEndpoint property: The resource of private end point.
privateEndpoint() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Get the privateEndpoint property: The PE network resource that is linked to this PE connection.
PrivateEndpoint - Class in com.azure.resourcemanager.machinelearning.models: The Private Endpoint resource.
PrivateEndpoint() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateEndpoint: Creates an instance of PrivateEndpoint class.
PrivateEndpointConnection - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of PrivateEndpointConnection.
PrivateEndpointConnection.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the PrivateEndpointConnection definition.
PrivateEndpointConnection.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The PrivateEndpointConnection definition stages.
PrivateEndpointConnection.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the PrivateEndpointConnection definition.
PrivateEndpointConnection.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
PrivateEndpointConnection.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify identity.
PrivateEndpointConnection.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify location.
PrivateEndpointConnection.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify parent resource.
PrivateEndpointConnection.DefinitionStages.WithPrivateEndpoint - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify privateEndpoint.
PrivateEndpointConnection.DefinitionStages.WithPrivateLinkServiceConnectionState - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify privateLinkServiceConnectionState.
PrivateEndpointConnection.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify sku.
PrivateEndpointConnection.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection definition allowing to specify tags.
PrivateEndpointConnection.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for PrivateEndpointConnection update.
PrivateEndpointConnection.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The PrivateEndpointConnection update stages.
PrivateEndpointConnection.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection update allowing to specify identity.
PrivateEndpointConnection.UpdateStages.WithPrivateEndpoint - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection update allowing to specify privateEndpoint.
PrivateEndpointConnection.UpdateStages.WithPrivateLinkServiceConnectionState - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection update allowing to specify privateLinkServiceConnectionState.
PrivateEndpointConnection.UpdateStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection update allowing to specify sku.
PrivateEndpointConnection.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the PrivateEndpointConnection update allowing to specify tags.
PrivateEndpointConnectionInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The Private Endpoint Connection resource.
PrivateEndpointConnectionInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Creates an instance of PrivateEndpointConnectionInner class.
PrivateEndpointConnectionListResult - Class in com.azure.resourcemanager.machinelearning.models: List of private endpoint connection associated with the specified workspace.
PrivateEndpointConnectionListResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionListResult: Creates an instance of PrivateEndpointConnectionListResult class.
PrivateEndpointConnectionProperties - Class in com.azure.resourcemanager.machinelearning.fluent.models: Properties of the PrivateEndpointConnectProperties.
PrivateEndpointConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Creates an instance of PrivateEndpointConnectionProperties class.
PrivateEndpointConnectionProvisioningState - Class in com.azure.resourcemanager.machinelearning.models: The current provisioning state.
PrivateEndpointConnectionProvisioningState() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Deprecated.
Use the PrivateEndpointConnectionProvisioningState.fromString(String) factory method.
privateEndpointConnections() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the privateEndpointConnections property: The list of private endpoint connections in the workspace.
privateEndpointConnections() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the privateEndpointConnections property: The list of private endpoint connections in the workspace.
privateEndpointConnections() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of PrivateEndpointConnections.
privateEndpointConnections() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the privateEndpointConnections property: The list of private endpoint connections in the workspace.
privateEndpointConnections() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the privateEndpointConnections property: The list of private endpoint connections in the workspace.
PrivateEndpointConnections - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of PrivateEndpointConnections.
PrivateEndpointConnectionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in PrivateEndpointConnectionsClient.
PrivateEndpointDestination - Class in com.azure.resourcemanager.machinelearning.models: Private Endpoint destination for a Private Endpoint Outbound Rule for the managed network of a machine learning workspace.
PrivateEndpointDestination() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination: Creates an instance of PrivateEndpointDestination class.
PrivateEndpointOutboundRule - Class in com.azure.resourcemanager.machinelearning.models: Private Endpoint Outbound Rule for the managed network of a machine learning workspace.
PrivateEndpointOutboundRule() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateEndpointOutboundRule: Creates an instance of PrivateEndpointOutboundRule class.
PrivateEndpointResource - Class in com.azure.resourcemanager.machinelearning.models: The PE network resource that is linked to this PE connection.
PrivateEndpointResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateEndpointResource: Creates an instance of PrivateEndpointResource class.
PrivateEndpointServiceConnectionStatus - Class in com.azure.resourcemanager.machinelearning.models: The private endpoint connection status.
PrivateEndpointServiceConnectionStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Deprecated.
Use the PrivateEndpointServiceConnectionStatus.fromString(String) factory method.
privateIpAddress() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the privateIpAddress property: Private IP address of the compute node.
privateIpAddress() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceConnectivityEndpoints: Get the privateIpAddress property: Private IP Address of this ComputeInstance (local to the VNET in which the compute instance is deployed).
privateKeyData() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Get the privateKeyData property: Private key data.
privateLinkCount() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the privateLinkCount property: Count of private connections in the workspace.
privateLinkCount() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the privateLinkCount property: Count of private connections in the workspace.
privateLinkCount() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the privateLinkCount property: Count of private connections in the workspace.
privateLinkCount() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the privateLinkCount property: Count of private connections in the workspace.
PrivateLinkResource - Class in com.azure.resourcemanager.machinelearning.models: A private link resource.
PrivateLinkResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Creates an instance of PrivateLinkResource class.
privateLinkResourceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Get the privateLinkResourceId property: The resource id that private link links to.
privateLinkResourceId() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Get the privateLinkResourceId property: The resource id that private link links to.
PrivateLinkResourceListResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of PrivateLinkResourceListResult.
PrivateLinkResourceListResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: A list of private link resources.
PrivateLinkResourceListResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner: Creates an instance of PrivateLinkResourceListResultInner class.
PrivateLinkResourceProperties - Class in com.azure.resourcemanager.machinelearning.fluent.models: Properties of a private link resource.
PrivateLinkResourceProperties() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Creates an instance of PrivateLinkResourceProperties class.
privateLinkResources() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of PrivateLinkResources.
PrivateLinkResources - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of PrivateLinkResources.
PrivateLinkResourcesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in PrivateLinkResourcesClient.
privateLinkServiceConnectionState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider.
privateLinkServiceConnectionState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Get the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider.
privateLinkServiceConnectionState() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider.
PrivateLinkServiceConnectionState - Class in com.azure.resourcemanager.machinelearning.models: A collection of information about the state of the connection between service consumer and provider.
PrivateLinkServiceConnectionState() - Constructor for class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Creates an instance of PrivateLinkServiceConnectionState class.
privileged() - Method in class com.azure.resourcemanager.machinelearning.models.Docker: Get the privileged property: Indicate whether container shall run in privileged or non-privileged mode.
ProbeSettings - Class in com.azure.resourcemanager.machinelearning.models: Deployment container liveness/readiness probe configuration.
ProbeSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Creates an instance of ProbeSettings class.
processCountPerInstance() - Method in class com.azure.resourcemanager.machinelearning.models.Mpi: Get the processCountPerInstance property: Number of processes per MPI node.
processCountPerInstance() - Method in class com.azure.resourcemanager.machinelearning.models.PyTorch: Get the processCountPerInstance property: Number of processes per node.
productionData() - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Get the productionData property: [Required] The data which drift will be calculated for.
productionData() - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Get the productionData property: [Required] The data produced by the production service which drift will be calculated for.
productionData() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Get the productionData property: [Required] The data which drift will be calculated for.
productionData() - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Get the productionData property: [Required] The data which drift will be calculated for.
propagation() - Method in class com.azure.resourcemanager.machinelearning.models.BindOptions: Get the propagation property: Type of Bind Option.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ClusterUpdateProperties: Get the properties property: Properties of ClusterUpdate.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the properties property: Compute properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the properties property: Property dictionary.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeatureInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetContainerInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityContainerInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityVersionInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.MarketplaceSubscriptionInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OutboundRuleBasicResourceInner: Get the properties property: Outbound Rule for the managed network of a machine learning workspace.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ScheduleInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Get the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionPropertiesV2BasicResourceInner: Get the properties property: The properties property.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Get the properties property: AKS properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchema: Get the properties property: AKS properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Get the properties property: Properties of AmlCompute.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeSchema: Get the properties property: Properties of AmlCompute.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ClusterUpdateParameters: Get the properties property: Properties of ClusterUpdate.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Get the properties property: Properties of ComputeInstance.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSchema: Get the properties property: Properties of ComputeInstance.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the properties property: Compute properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeResourceSchema: Get the properties property: Compute properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Get the properties property: Properties of Databricks.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksSchema: Get the properties property: Properties of Databricks.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Get the properties property: The properties property.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchema: Get the properties property: The properties property.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Get the properties property: Property dictionary.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the properties property: Property dictionary.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.Feature: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Get the properties property: Specifies the properties.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoints: Get the properties property: The properties property.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Get the properties property: HDInsight compute properties.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightSchema: Get the properties property: HDInsight compute properties.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the properties property: Additional properties to set on the endpoint.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Get the properties property: Properties of Kubernetes.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesSchema: Get the properties property: Properties of Kubernetes.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalBase: Get the properties property: Property dictionary.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource: Gets the properties property: Outbound Rule for the managed network of a machine learning workspace.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties: Get the properties property: Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Get the properties property: The asset property dictionary.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Get the properties property: Additional properties bag.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the properties property: [Required] Additional attributes of the entity.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Get the properties property: The properties property.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Get the properties property: The properties property.
properties() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchema: Get the properties property: The properties property.
properties() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource: Gets the properties property: The properties property.
propertyBag() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the propertyBag property: A property bag containing additional properties.
PROPHET - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value Prophet for ForecastingModels.
protocol() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the protocol property: Protocol used to communicate with the storage account.
protocol() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the protocol property: Protocol used to communicate with the storage account.
protocol() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the protocol property: Protocol used to communicate with the storage account.
protocol() - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Get the protocol property: Protocol over which communication will happen over this endpoint.
protocol() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Get the protocol property: The protocol property.
Protocol - Class in com.azure.resourcemanager.machinelearning.models: Endpoint Communication Protocol Protocol over which communication will happen over this endpoint.
Protocol() - Constructor for class com.azure.resourcemanager.machinelearning.models.Protocol: Deprecated.
Use the Protocol.fromString(String) factory method.
provider() - Method in class com.azure.resourcemanager.machinelearning.models.OperationDisplay: Get the provider property: The localized friendly form of the resource provider name, e.g.
PROVISIONING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Provisioning for JobStatus.
PROVISIONING - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus: Static value Provisioning for ProvisioningStatus.
PROVISIONING - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningState: Static value Provisioning for ScheduleProvisioningState.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Get the provisioningErrors property: Errors during provisioning.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Get the provisioningErrors property: Errors during provisioning.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the provisioningErrors property: Errors during provisioning.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Get the provisioningErrors property: Errors during provisioning.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Get the provisioningErrors property: Errors during provisioning.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Get the provisioningErrors property: Errors during provisioning.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Get the provisioningErrors property: Errors during provisioning.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Get the provisioningErrors property: Errors during provisioning.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Get the provisioningErrors property: Errors during provisioning.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Get the provisioningErrors property: Errors during provisioning.
provisioningErrors() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Get the provisioningErrors property: Errors during provisioning.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the provisioningState property: The provisioning state of the private endpoint connection resource.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Get the provisioningState property: The provisioning state of the private endpoint connection resource.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties: Get the provisioningState property: One of null, "Succeeded", "Provisioning", "Failed".
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the provisioningState property: The current deployment state of workspace resource.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the provisioningState property: The current deployment state of workspace resource.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the provisioningState property: Provisioning state for the endpoint deployment.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Get the provisioningState property: Provisioning state for the endpoint.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerProperties: Get the provisioningState property: Provisioning state for the code container.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties: Get the provisioningState property: Provisioning state for the code version.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerProperties: Get the provisioningState property: Provisioning state for the component container.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties: Get the provisioningState property: Provisioning state for the component version.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerProperties: Get the provisioningState property: Provisioning state for the environment container.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Get the provisioningState property: Provisioning state for the environment version.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerProperties: Get the provisioningState property: Provisioning state for the featureset container.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Get the provisioningState property: Provisioning state for the featureset version container.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerProperties: Get the provisioningState property: Provisioning state for the featurestore entity container.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Get the provisioningState property: Provisioning state for the featurestore entity version.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Get the provisioningState property: Provisioning state for the endpoint deployment.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Get the provisioningState property: Provisioning state for the endpoint deployment.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProperties: Get the provisioningState property: Provisioning State of the Marketplace Subscription.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerProperties: Get the provisioningState property: Provisioning state for the model container.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Get the provisioningState property: Provisioning state for the model version.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the provisioningState property: Provisioning state for the endpoint deployment.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Get the provisioningState property: Provisioning state for the endpoint.
provisioningState() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the provisioningState property: The provisioning state of the private endpoint connection resource.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Get the provisioningState property: One of null, "Succeeded", "Provisioning", "Failed".
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Get the provisioningState property: Provisioning state for the schedule.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Get the provisioningState property: Provisioning state for the endpoint.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Get the provisioningState property: The provision state of the cluster.
provisioningState() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the provisioningState property: The current deployment state of workspace resource.
provisioningState() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the provisioningState property: The current deployment state of workspace resource.
ProvisioningState - Class in com.azure.resourcemanager.machinelearning.models: The current deployment state of workspace resource.
ProvisioningState() - Constructor for class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Deprecated.
Use the ProvisioningState.fromString(String) factory method.
provisioningStatus() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the provisioningStatus property: The current deployment state of schedule.
provisioningStatus() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Get the provisioningStatus property: The current deployment state of schedule.
ProvisioningStatus - Class in com.azure.resourcemanager.machinelearning.models: The current deployment state of schedule.
ProvisioningStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus: Deprecated.
Use the ProvisioningStatus.fromString(String) factory method.
provisionManagedNetwork(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkProvisionsClient: Provisions the managed network of a machine learning workspace.
provisionManagedNetwork(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkProvisions: Provisions the managed network of a machine learning workspace.
provisionManagedNetwork(String, String, ManagedNetworkProvisionOptions, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ManagedNetworkProvisionsClient: Provisions the managed network of a machine learning workspace.
provisionManagedNetwork(String, String, ManagedNetworkProvisionOptions, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkProvisions: Provisions the managed network of a machine learning workspace.
PUBLIC_IP - Static variable in class com.azure.resourcemanager.machinelearning.models.LoadBalancerType: Static value PublicIp for LoadBalancerType.
publicDns() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the publicDns property: The publicDns property.
publicDns() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the publicDns property: The publicDns property.
publicIpAddress() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the publicIpAddress property: Public IP address of the compute node.
publicIpAddress() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceConnectivityEndpoints: Get the publicIpAddress property: Public IP Address of this ComputeInstance.
publicIpAddress() - Method in class com.azure.resourcemanager.machinelearning.models.SystemService: Get the publicIpAddress property: Public IP address.
publicKeyData() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Get the publicKeyData property: Public key data.
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the publicNetworkAccess property: Is the Registry accessible from the internet? Possible values: "Enabled" or "Disabled".
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Get the publicNetworkAccess property: Is the Registry accessible from the internet? Possible values: "Enabled" or "Disabled".
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the publicNetworkAccess property: Whether requests from Public Network are allowed.
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the publicNetworkAccess property: Whether requests from Public Network are allowed.
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the publicNetworkAccess property: Whether requests from Public Network are allowed.
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Get the publicNetworkAccess property: Set to "Enabled" for endpoints that should allow public access when Private Link is enabled.
publicNetworkAccess() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the publicNetworkAccess property: Is the Registry accessible from the internet? Possible values: "Enabled" or "Disabled".
publicNetworkAccess() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the publicNetworkAccess property: Whether requests from Public Network are allowed.
publicNetworkAccess() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the publicNetworkAccess property: Whether requests from Public Network are allowed.
publicNetworkAccess() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the publicNetworkAccess property: Whether requests from Public Network are allowed.
publicNetworkAccess() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the publicNetworkAccess property: Whether requests from Public Network are allowed.
PublicNetworkAccess - Class in com.azure.resourcemanager.machinelearning.models: Whether requests from Public Network are allowed.
PublicNetworkAccess() - Constructor for class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccess: Deprecated.
Use the PublicNetworkAccess.fromString(String) factory method.
PublicNetworkAccessType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine whether PublicNetworkAccess is Enabled or Disabled.
PublicNetworkAccessType() - Constructor for class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccessType: Deprecated.
Use the PublicNetworkAccessType.fromString(String) factory method.
publish(DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Publish version asset into registry.
publish(DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Publish version asset into registry.
publish(DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Publish version asset into registry.
publish(DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Publish version asset into registry.
publish(DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Publish version asset into registry.
publish(DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Publish version asset into registry.
publish(DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Publish version asset into registry.
publish(DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Publish version asset into registry.
publish(DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Publish version asset into registry.
publish(DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.CodeVersionsClient: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComponentVersionsClient: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.DataVersionsClient: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.EnvironmentVersionsClient: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ModelVersionsClient: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersions: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersions: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersions: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersions: Publish version asset into registry.
publish(String, String, String, String, DestinationAsset, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersions: Publish version asset into registry.
published() - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Get the published property: Port over which the application is exposed from container.
publisherId() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplacePlan: Get the publisherId property: The identifying name of the Publisher of the Marketplace Plan.
PY_TORCH - Static variable in class com.azure.resourcemanager.machinelearning.models.DistributionType: Static value PyTorch for DistributionType.
pyFiles() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the pyFiles property: Python files used in the job.
PYTHON_FEED - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value PythonFeed for ConnectionCategory.
PyTorch - Class in com.azure.resourcemanager.machinelearning.models: PyTorch distribution configuration.
PyTorch() - Constructor for class com.azure.resourcemanager.machinelearning.models.PyTorch: Creates an instance of PyTorch class.

Q

QUEUED - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Queued for JobStatus.
queueSettings() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the queueSettings property: Queue settings for the job.
queueSettings() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the queueSettings property: Queue settings for the job.
queueSettings() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the queueSettings property: Queue settings for the job.
queueSettings() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the queueSettings property: Queue settings for the job.
QueueSettings - Class in com.azure.resourcemanager.machinelearning.models: The QueueSettings model.
QueueSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.QueueSettings: Creates an instance of QueueSettings class.
QUICK_BOOKS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value QuickBooks for ConnectionCategory.
QuotaBaseProperties - Class in com.azure.resourcemanager.machinelearning.models: The properties for Quota update or retrieval.
QuotaBaseProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Creates an instance of QuotaBaseProperties class.
quotas() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Quotas.
Quotas - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Quotas.
QuotasClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in QuotasClient.
QuotaUnit - Class in com.azure.resourcemanager.machinelearning.models: An enum describing the unit of quota measurement.
QuotaUnit() - Constructor for class com.azure.resourcemanager.machinelearning.models.QuotaUnit: Deprecated.
Use the QuotaUnit.fromString(String) factory method.
QuotaUpdateParameters - Class in com.azure.resourcemanager.machinelearning.models: Quota update parameters.
QuotaUpdateParameters() - Constructor for class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Creates an instance of QuotaUpdateParameters class.

R

R2SCORE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Static value R2Score for ForecastingPrimaryMetrics.
R2SCORE - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Static value R2Score for RegressionPrimaryMetrics.
RANDOM - Static variable in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithmRule: Static value Random for RandomSamplingAlgorithmRule.
RANDOM - Static variable in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType: Static value Random for SamplingAlgorithmType.
RANDOM_FOREST - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value RandomForest for ClassificationModels.
RANDOM_FOREST - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value RandomForest for ForecastingModels.
RANDOM_FOREST - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value RandomForest for RegressionModels.
RandomSamplingAlgorithm - Class in com.azure.resourcemanager.machinelearning.models: Defines a Sampling Algorithm that generates values randomly.
RandomSamplingAlgorithm() - Constructor for class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Creates an instance of RandomSamplingAlgorithm class.
RandomSamplingAlgorithmRule - Class in com.azure.resourcemanager.machinelearning.models: The specific type of random algorithm.
RandomSamplingAlgorithmRule() - Constructor for class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithmRule: Deprecated.
Use the RandomSamplingAlgorithmRule.fromString(String) factory method.
randomSeed() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the randomSeed property: Random seed to be used when using deterministic training.
randomSeed() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the randomSeed property: Random seed to be used when using deterministic training.
READ_ONLY - Static variable in class com.azure.resourcemanager.machinelearning.models.Caching: Static value ReadOnly for Caching.
READ_ONLY_MOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value ReadOnlyMount for InputDeliveryMode.
READ_WRITE - Static variable in class com.azure.resourcemanager.machinelearning.models.Caching: Static value ReadWrite for Caching.
READ_WRITE_MOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Static value ReadWriteMount for InputDeliveryMode.
READ_WRITE_MOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.OutputDeliveryMode: Static value ReadWriteMount for OutputDeliveryMode.
readinessProbe() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the readinessProbe property: Readiness probe validates if the container is ready to serve traffic.
readinessRoute() - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Get the readinessRoute property: The route to check the readiness of the inference server container.
readOnly() - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Get the readOnly property: Indicate whether to mount volume as readOnly.
RECOMMENDED - Static variable in class com.azure.resourcemanager.machinelearning.models.RuleCategory: Static value Recommended for RuleCategory.
recurrence() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the recurrence property: Required if triggerType is Recurrence.
Recurrence - Class in com.azure.resourcemanager.machinelearning.models: The workflow trigger recurrence for ComputeStartStop schedule type.
Recurrence() - Constructor for class com.azure.resourcemanager.machinelearning.models.Recurrence: Creates an instance of Recurrence class.
RECURRENCE - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeTriggerType: Static value Recurrence for ComputeTriggerType.
RECURRENCE - Static variable in class com.azure.resourcemanager.machinelearning.models.TriggerType: Static value Recurrence for TriggerType.
RecurrenceFrequency - Class in com.azure.resourcemanager.machinelearning.models: Enum to describe the frequency of a recurrence schedule.
RecurrenceFrequency() - Constructor for class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Deprecated.
Use the RecurrenceFrequency.fromString(String) factory method.
RecurrenceSchedule - Class in com.azure.resourcemanager.machinelearning.models: The RecurrenceSchedule model.
RecurrenceSchedule() - Constructor for class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Creates an instance of RecurrenceSchedule class.
RecurrenceTrigger - Class in com.azure.resourcemanager.machinelearning.models: The RecurrenceTrigger model.
RecurrenceTrigger() - Constructor for class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Creates an instance of RecurrenceTrigger class.
REDIS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Redis for ConnectionCategory.
reference() - Method in class com.azure.resourcemanager.machinelearning.models.Image: Get the reference property: Image reference.
referenceData() - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Get the referenceData property: [Required] The data to calculate drift against.
referenceData() - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Get the referenceData property: [Required] The data to calculate drift against.
referenceData() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Get the referenceData property: [Required] The data to calculate drift against.
referenceData() - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Get the referenceData property: [Required] The data to calculate drift against.
referencedUris() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Get the referencedUris property: Uris referenced in the MLTable definition (required for lineage).
referenceType() - Method in class com.azure.resourcemanager.machinelearning.models.AssetReferenceBase: Get the referenceType property: [Required] Specifies the type of asset reference.
referenceType() - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Get the referenceType property: [Required] Specifies the type of asset reference.
referenceType() - Method in class com.azure.resourcemanager.machinelearning.models.IdAssetReference: Get the referenceType property: [Required] Specifies the type of asset reference.
referenceType() - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Get the referenceType property: [Required] Specifies the type of asset reference.
ReferenceType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine which reference method to use for an asset.
ReferenceType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ReferenceType: Deprecated.
Use the ReferenceType.fromString(String) factory method.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Refreshes the resource to sync with Azure.
refresh() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Refreshes the resource to sync with Azure.
refresh(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource: Refreshes the resource to sync with Azure.
refreshAfterTimeUtc() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Get the refreshAfterTimeUtc property: Refresh access token after time (UTC).
refreshAfterTimeUtc() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthToken: Gets the refreshAfterTimeUtc property: Refresh access token after time (UTC).
refreshToken() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the refreshToken property: The refreshToken property.
refreshToken() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the refreshToken property: The refreshToken property.
refreshToken() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Get the refreshToken property: Required by GoogleBigQuery, GoogleAdWords, Hubspot, QuickBooks, Square, Xero, Zoho where user needs to get RefreshToken offline.
RegenerateEndpointKeysRequest - Class in com.azure.resourcemanager.machinelearning.models: The RegenerateEndpointKeysRequest model.
RegenerateEndpointKeysRequest() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Creates an instance of RegenerateEndpointKeysRequest class.
regenerateKeys(RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoints: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
regenerateKeys(String, String, String, RegenerateEndpointKeysRequest, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoints: Regenerate EndpointAuthKeys for an Endpoint using Key-based authentication (asynchronous).
region() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the region of the resource.
region() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the region of the resource.
regionDetails() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the regionDetails property: Details of each region the registry is in.
regionDetails() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Get the regionDetails property: Details of each region the registry is in.
regionDetails() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the regionDetails property: Details of each region the registry is in.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the name of the resource region.
regionName() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the name of the resource region.
registries() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Registries.
Registries - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Registries.
RegistriesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistriesClient.
Registry - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of Registry.
Registry.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the Registry definition.
Registry.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The Registry definition stages.
Registry.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the Registry definition.
Registry.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
Registry.DefinitionStages.WithDiscoveryUrl - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify discoveryUrl.
Registry.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify identity.
Registry.DefinitionStages.WithIntellectualPropertyPublisher - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify intellectualPropertyPublisher.
Registry.DefinitionStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify kind.
Registry.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify location.
Registry.DefinitionStages.WithManagedResourceGroup - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify managedResourceGroup.
Registry.DefinitionStages.WithMlFlowRegistryUri - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify mlFlowRegistryUri.
Registry.DefinitionStages.WithPublicNetworkAccess - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify publicNetworkAccess.
Registry.DefinitionStages.WithRegionDetails - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify regionDetails.
Registry.DefinitionStages.WithRegistryPrivateEndpointConnections - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify registryPrivateEndpointConnections.
Registry.DefinitionStages.WithResourceGroup - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify parent resource.
Registry.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify sku.
Registry.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry definition allowing to specify tags.
Registry.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for Registry update.
Registry.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The Registry update stages.
Registry.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry update allowing to specify identity.
Registry.UpdateStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry update allowing to specify sku.
Registry.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Registry update allowing to specify tags.
registryCodeContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of RegistryCodeContainers.
RegistryCodeContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of RegistryCodeContainers.
RegistryCodeContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistryCodeContainersClient.
registryCodeVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of RegistryCodeVersions.
RegistryCodeVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of RegistryCodeVersions.
RegistryCodeVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistryCodeVersionsClient.
registryComponentContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of RegistryComponentContainers.
RegistryComponentContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of RegistryComponentContainers.
RegistryComponentContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistryComponentContainersClient.
registryComponentVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of RegistryComponentVersions.
RegistryComponentVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of RegistryComponentVersions.
RegistryComponentVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistryComponentVersionsClient.
registryDataContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of RegistryDataContainers.
RegistryDataContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of RegistryDataContainers.
RegistryDataContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistryDataContainersClient.
registryDataReferences() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of RegistryDataReferences.
RegistryDataReferences - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of RegistryDataReferences.
RegistryDataReferencesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistryDataReferencesClient.
registryDataVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of RegistryDataVersions.
RegistryDataVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of RegistryDataVersions.
RegistryDataVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistryDataVersionsClient.
registryEnvironmentContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of RegistryEnvironmentContainers.
RegistryEnvironmentContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of RegistryEnvironmentContainers.
RegistryEnvironmentContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistryEnvironmentContainersClient.
registryEnvironmentVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of RegistryEnvironmentVersions.
RegistryEnvironmentVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of RegistryEnvironmentVersions.
RegistryEnvironmentVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistryEnvironmentVersionsClient.
RegistryInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The Registry model.
RegistryInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Creates an instance of RegistryInner class.
RegistryListCredentialsResult - Class in com.azure.resourcemanager.machinelearning.models: The RegistryListCredentialsResult model.
RegistryListCredentialsResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Creates an instance of RegistryListCredentialsResult class.
registryModelContainers() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of RegistryModelContainers.
RegistryModelContainers - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of RegistryModelContainers.
RegistryModelContainersClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistryModelContainersClient.
registryModelVersions() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of RegistryModelVersions.
RegistryModelVersions - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of RegistryModelVersions.
RegistryModelVersionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in RegistryModelVersionsClient.
registryName() - Method in class com.azure.resourcemanager.machinelearning.models.DestinationAsset: Get the registryName property: Destination registry name.
RegistryPartialManagedServiceIdentity - Class in com.azure.resourcemanager.machinelearning.models: Managed service identity (system assigned and/or user assigned identities).
RegistryPartialManagedServiceIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegistryPartialManagedServiceIdentity: Creates an instance of RegistryPartialManagedServiceIdentity class.
RegistryPrivateEndpointConnection - Class in com.azure.resourcemanager.machinelearning.models: Private endpoint connection definition.
RegistryPrivateEndpointConnection() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Creates an instance of RegistryPrivateEndpointConnection class.
RegistryPrivateEndpointConnectionProperties - Class in com.azure.resourcemanager.machinelearning.fluent.models: Properties of the Private Endpoint Connection.
RegistryPrivateEndpointConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties: Creates an instance of RegistryPrivateEndpointConnectionProperties class.
registryPrivateEndpointConnections() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the registryPrivateEndpointConnections property: Private endpoint connections info used for pending connections in private link portal.
registryPrivateEndpointConnections() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Get the registryPrivateEndpointConnections property: Private endpoint connections info used for pending connections in private link portal.
registryPrivateEndpointConnections() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the registryPrivateEndpointConnections property: Private endpoint connections info used for pending connections in private link portal.
registryPrivateLinkServiceConnectionState() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties: Get the registryPrivateLinkServiceConnectionState property: The connection state.
registryPrivateLinkServiceConnectionState() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Get the registryPrivateLinkServiceConnectionState property: The connection state.
RegistryPrivateLinkServiceConnectionState - Class in com.azure.resourcemanager.machinelearning.models: The connection state.
RegistryPrivateLinkServiceConnectionState() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegistryPrivateLinkServiceConnectionState: Creates an instance of RegistryPrivateLinkServiceConnectionState class.
RegistryProperties - Class in com.azure.resourcemanager.machinelearning.fluent.models: Details of the Registry.
RegistryProperties() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Creates an instance of RegistryProperties class.
RegistryRegionArmDetails - Class in com.azure.resourcemanager.machinelearning.models: Details for each region the registry is in.
RegistryRegionArmDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegistryRegionArmDetails: Creates an instance of RegistryRegionArmDetails class.
RegistryTrackedResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of Registry entities.
RegistryTrackedResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegistryTrackedResourceArmPaginatedResult: Creates an instance of RegistryTrackedResourceArmPaginatedResult class.
Regression - Class in com.azure.resourcemanager.machinelearning.models: Regression task in AutoML Table vertical.
Regression() - Constructor for class com.azure.resourcemanager.machinelearning.models.Regression: Creates an instance of Regression class.
REGRESSION - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelTaskType: Static value Regression for ModelTaskType.
REGRESSION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value Regression for TaskType.
RegressionModels - Class in com.azure.resourcemanager.machinelearning.models: Enum for all Regression models supported by AutoML.
RegressionModels() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegressionModels: Deprecated.
Use the RegressionModels.fromString(String) factory method.
RegressionPrimaryMetrics - Class in com.azure.resourcemanager.machinelearning.models: Primary metrics for Regression task.
RegressionPrimaryMetrics() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Deprecated.
Use the RegressionPrimaryMetrics.fromString(String) factory method.
RegressionTrainingSettings - Class in com.azure.resourcemanager.machinelearning.models: Regression Training related configuration.
RegressionTrainingSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Creates an instance of RegressionTrainingSettings class.
REIMAGE - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Reimage for OperationName.
REIMAGE_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value ReimageFailed for OperationStatus.
REINSTATING - Static variable in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Static value Reinstating for ServerlessEndpointState.
REJECTED - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointServiceConnectionStatus: Static value Rejected for EndpointServiceConnectionStatus.
REJECTED - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Static value Rejected for PrivateEndpointServiceConnectionStatus.
relayConnectionString() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the relayConnectionString property: Relay connection string.
REMOTE - Static variable in class com.azure.resourcemanager.machinelearning.models.Autosave: Static value Remote for Autosave.
remoteLoginPortPublicAccess() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the remoteLoginPortPublicAccess property: State of the public SSH port.
RemoteLoginPortPublicAccess - Class in com.azure.resourcemanager.machinelearning.models: Close remote Login Access Port State of the public SSH port.
RemoteLoginPortPublicAccess() - Constructor for class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess: Deprecated.
Use the RemoteLoginPortPublicAccess.fromString(String) factory method.
removeRegions(RegistryInner) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Remove regions from registry.
removeRegions(RegistryInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Remove regions from registry.
removeRegions(String, String, RegistryInner) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Remove regions from registry.
removeRegions(String, String, RegistryInner) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: Remove regions from registry.
removeRegions(String, String, RegistryInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Remove regions from registry.
removeRegions(String, String, RegistryInner, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Registries: Remove regions from registry.
requestLogging() - Method in class com.azure.resourcemanager.machinelearning.models.DataCollector: Get the requestLogging property: The request logging configuration for mdc, it includes advanced logging settings for all collections.
RequestLogging - Class in com.azure.resourcemanager.machinelearning.models: The RequestLogging model.
RequestLogging() - Constructor for class com.azure.resourcemanager.machinelearning.models.RequestLogging: Creates an instance of RequestLogging class.
requestMessage() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Get the requestMessage property: Request message.
requestMessage() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Get the requestMessage property: Request message.
requests() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Get the requests property: Resource requests for this instance type.
requestSettings() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the requestSettings property: Request settings for the deployment.
requestTimeout() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Get the requestTimeout property: The scoring timeout in ISO 8601 format.
REQUIRED - Static variable in class com.azure.resourcemanager.machinelearning.models.RuleCategory: Static value Required for RuleCategory.
requiredMembers() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Get the requiredMembers property: The private link resource required member names.
requiredMembers() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the requiredMembers property: The private link resource required member names.
requiredZoneNames() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Get the requiredZoneNames property: The private link resource Private link DNS zone name.
requiredZoneNames() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the requiredZoneNames property: The private link resource Private link DNS zone name.
RESIZING - Static variable in class com.azure.resourcemanager.machinelearning.models.AllocationState: Static value Resizing for AllocationState.
resource() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Get the resource property: Specifies the compute resource settings.
resource() - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Get the resource property: Specifies the compute resource settings.
resource() - Method in class com.azure.resourcemanager.machinelearning.models.OperationDisplay: Get the resource property: The localized friendly name of the resource type related to this operation.
ResourceBase - Class in com.azure.resourcemanager.machinelearning.models: The ResourceBase model.
ResourceBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.ResourceBase: Creates an instance of ResourceBase class.
ResourceConfiguration - Class in com.azure.resourcemanager.machinelearning.models: The ResourceConfiguration model.
ResourceConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Creates an instance of ResourceConfiguration class.
resourceGroup() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the resourceGroup property: Azure Resource Group name.
resourceGroup() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Get the resourceGroup property: Azure Resource Group name.
resourceGroup() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the resourceGroup property: Azure Resource Group name.
resourceGroup() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDatastore: Get the resourceGroup property: Azure Resource Group name.
resourceGroup() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the resourceGroup property: Azure Resource Group name.
resourceGroup() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the resourceGroup property: Name of the resource group in which workspace is located.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the name of the resource group.
resourceGroupName() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the name of the resource group.
resourceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Get the resourceId property: the data plane resourceId that used to initialize notebook component.
resourceId() - Method in class com.azure.resourcemanager.machinelearning.models.ArmResourceId: Get the resourceId property: Arm ResourceId is in the format "/subscriptions/{SubscriptionId}/resourceGroups/{ResourceGroupName}/providers/Microsoft.Storage/storageAccounts/{StorageAccountName}" or "/subscriptions/{SubscriptionId}/resourceGroups/{ResourceGroupName}/providers/Microsoft.ContainerRegistry/registries/{AcrName}".
resourceId() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Get the resourceId property: ARM resource id of the underlying compute.
resourceId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Get the resourceId property: Specifies a user-assigned identity by ARM resource ID.
resourceId() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookResourceInfo: Gets the resourceId property: the data plane resourceId that used to initialize notebook component.
resourceId() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionManagedIdentity: Get the resourceId property: The resourceId property.
ResourceId - Class in com.azure.resourcemanager.machinelearning.models: Represents a resource ID.
ResourceId() - Constructor for class com.azure.resourcemanager.machinelearning.models.ResourceId: Creates an instance of ResourceId class.
resourceLock() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the resourceLock property: Setting for diagnosing resource lock.
resourceLockResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the resourceLockResults property: The resourceLockResults property.
ResourceName - Class in com.azure.resourcemanager.machinelearning.models: The Resource Name.
ResourceName() - Constructor for class com.azure.resourcemanager.machinelearning.models.ResourceName: Creates an instance of ResourceName class.
ResourceQuota - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ResourceQuota.
ResourceQuotaInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The quota assigned to a resource.
ResourceQuotaInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Creates an instance of ResourceQuotaInner class.
resources() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the resources property: Compute Resource configuration for the job.
resources() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the resources property: Indicates compute configuration for the job.
resources() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the resources property: Compute Resource configuration for the job.
resources() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Get the resources property: Resource requests/limits for this instance type.
resources() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the resources property: Compute Resource configuration for the job.
resources() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Get the resources property: Compute Resource configuration for the job.
resourceType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Get the resourceType property: The resource type name.
resourceType() - Method in interface com.azure.resourcemanager.machinelearning.models.SkuResource: Gets the resourceType property: The resource type name.
resourceUrl() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the resourceUrl property: Resource the service principal has access to.
resourceUrl() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Get the resourceUrl property: Resource the service principal has access to.
RESPONSYS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Responsys for ConnectionCategory.
restart() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a restart action to a compute instance.
restart(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a restart action to a compute instance.
restart(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a restart action to a compute instance.
restart(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a restart action to a compute instance.
restart(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a restart action to a compute instance.
restart(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a restart action to a compute instance.
RESTART - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Restart for OperationName.
RESTART_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value RestartFailed for OperationStatus.
RESTARTING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Restarting for ComputeInstanceState.
resyncKeys() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Resync all the keys associated with this workspace.
resyncKeys(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Resync all the keys associated with this workspace.
resyncKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Resync all the keys associated with this workspace.
resyncKeys(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Resync all the keys associated with this workspace.
resyncKeys(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Resync all the keys associated with this workspace.
resyncKeys(String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspaces: Resync all the keys associated with this workspace.
retailPrice() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Get the retailPrice property: The price charged for using the VM.
retrySettings() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Get the retrySettings property: Retry Settings for the batch inference operation.
ROLLING - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataType: Static value Rolling for MonitoringInputDataType.
RollingInputData - Class in com.azure.resourcemanager.machinelearning.models: Rolling input data definition.
RollingInputData() - Constructor for class com.azure.resourcemanager.machinelearning.models.RollingInputData: Creates an instance of RollingInputData class.
rollingRate() - Method in class com.azure.resourcemanager.machinelearning.models.DataCollector: Get the rollingRate property: When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file.
RollingRateType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for RollingRateType.
RollingRateType() - Constructor for class com.azure.resourcemanager.machinelearning.models.RollingRateType: Deprecated.
Use the RollingRateType.fromString(String) factory method.
Route - Class in com.azure.resourcemanager.machinelearning.models: The Route model.
Route() - Constructor for class com.azure.resourcemanager.machinelearning.models.Route: Creates an instance of Route class.
rule() - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Get the rule property: The specific type of random algorithm.
RuleAction - Class in com.azure.resourcemanager.machinelearning.models: The action enum for networking rule.
RuleAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.RuleAction: Deprecated.
Use the RuleAction.fromString(String) factory method.
RuleCategory - Class in com.azure.resourcemanager.machinelearning.models: Category of a managed network Outbound Rule of a machine learning workspace.
RuleCategory() - Constructor for class com.azure.resourcemanager.machinelearning.models.RuleCategory: Deprecated.
Use the RuleCategory.fromString(String) factory method.
RuleStatus - Class in com.azure.resourcemanager.machinelearning.models: Type of a managed network Outbound Rule of a machine learning workspace.
RuleStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.RuleStatus: Deprecated.
Use the RuleStatus.fromString(String) factory method.
RuleType - Class in com.azure.resourcemanager.machinelearning.models: Type of a managed network Outbound Rule of a machine learning workspace.
RuleType() - Constructor for class com.azure.resourcemanager.machinelearning.models.RuleType: Deprecated.
Use the RuleType.fromString(String) factory method.
runId() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Get the runId property: ID of the Experiment running on the node, if any else null.
RUNNING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Running for ComputeInstanceState.
RUNNING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Running for JobStatus.
RUNNING - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value running for NodeState.
runningNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the runningNodeCount property: Number of compute nodes which are running jobs.
runtime() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceVersion: Get the runtime property: Runtime of compute instance.
runtimeVersion() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorServerlessSparkCompute: Get the runtimeVersion property: [Required] The Spark runtime version.
runtimeVersion() - Method in class com.azure.resourcemanager.machinelearning.models.SparkResourceConfiguration: Get the runtimeVersion property: Version of spark runtime used for the job.

S

S3 - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value S3 for ConnectionCategory.
SALESFORCE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Salesforce for ConnectionCategory.
SALESFORCE_MARKETING_CLOUD - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value SalesforceMarketingCloud for ConnectionCategory.
SALESFORCE_SERVICE_CLOUD - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value SalesforceServiceCloud for ConnectionCategory.
samplingAlgorithm() - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Get the samplingAlgorithm property: [Required] Type of the hyperparameter sampling algorithms.
samplingAlgorithm() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the samplingAlgorithm property: [Required] The hyperparameter sampling algorithm.
SamplingAlgorithm - Class in com.azure.resourcemanager.machinelearning.models: The Sampling Algorithm used to generate hyperparameter values, along with properties to configure the algorithm.
SamplingAlgorithm() - Constructor for class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithm: Creates an instance of SamplingAlgorithm class.
samplingAlgorithmType() - Method in class com.azure.resourcemanager.machinelearning.models.BayesianSamplingAlgorithm: Get the samplingAlgorithmType property: [Required] The algorithm used for generating hyperparameter values, along with configuration properties.
samplingAlgorithmType() - Method in class com.azure.resourcemanager.machinelearning.models.GridSamplingAlgorithm: Get the samplingAlgorithmType property: [Required] The algorithm used for generating hyperparameter values, along with configuration properties.
samplingAlgorithmType() - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Get the samplingAlgorithmType property: [Required] The algorithm used for generating hyperparameter values, along with configuration properties.
samplingAlgorithmType() - Method in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithm: Get the samplingAlgorithmType property: [Required] The algorithm used for generating hyperparameter values, along with configuration properties.
SamplingAlgorithmType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for SamplingAlgorithmType.
SamplingAlgorithmType() - Constructor for class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType: Deprecated.
Use the SamplingAlgorithmType.fromString(String) factory method.
samplingRate() - Method in class com.azure.resourcemanager.machinelearning.models.Collection: Get the samplingRate property: The sampling rate for collection.
SAP_BW - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value SapBw for ConnectionCategory.
SAP_CLOUD_FOR_CUSTOMER - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value SapCloudForCustomer for ConnectionCategory.
SAP_ECC - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value SapEcc for ConnectionCategory.
SAP_HANA - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value SapHana for ConnectionCategory.
SAP_OPEN_HUB - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value SapOpenHub for ConnectionCategory.
SAP_TABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value SapTable for ConnectionCategory.
sas() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionSharedAccessSignature: Get the sas property: The sas property.
SAS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value SAS for ConnectionAuthType.
SAS - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value Sas for CredentialsType.
SAS - Static variable in class com.azure.resourcemanager.machinelearning.models.DataReferenceCredentialType: Static value SAS for DataReferenceCredentialType.
SAS - Static variable in class com.azure.resourcemanager.machinelearning.models.PendingUploadCredentialType: Static value SAS for PendingUploadCredentialType.
SAS - Static variable in class com.azure.resourcemanager.machinelearning.models.SecretsType: Static value Sas for SecretsType.
SasAuthTypeWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: The SasAuthTypeWorkspaceConnectionProperties model.
SasAuthTypeWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Creates an instance of SasAuthTypeWorkspaceConnectionProperties class.
SasCredential - Class in com.azure.resourcemanager.machinelearning.models: Access with full SAS uri.
SasCredential() - Constructor for class com.azure.resourcemanager.machinelearning.models.SasCredential: Creates an instance of SasCredential class.
SasCredentialDto - Class in com.azure.resourcemanager.machinelearning.models: The SasCredentialDto model.
SasCredentialDto() - Constructor for class com.azure.resourcemanager.machinelearning.models.SasCredentialDto: Creates an instance of SasCredentialDto class.
SasDatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: SAS datastore credentials configuration.
SasDatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.SasDatastoreCredentials: Creates an instance of SasDatastoreCredentials class.
SasDatastoreSecrets - Class in com.azure.resourcemanager.machinelearning.models: Datastore SAS secrets.
SasDatastoreSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.SasDatastoreSecrets: Creates an instance of SasDatastoreSecrets class.
sasToken() - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreSecrets: Get the sasToken property: Storage container SAS token.
sasUri() - Method in class com.azure.resourcemanager.machinelearning.models.SasCredential: Get the sasUri property: Full SAS Uri, including the storage, container/blob path and SAS token.
sasUri() - Method in class com.azure.resourcemanager.machinelearning.models.SasCredentialDto: Get the sasUri property: Full SAS Uri, including the storage, container/blob path and SAS token.
SATURDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeWeekDay: Static value Saturday for ComputeWeekDay.
SATURDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.WeekDay: Static value Saturday for WeekDay.
scaleSettings() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the scaleSettings property: Scale settings for AML Compute.
scaleSettings() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Get the scaleSettings property: Scale settings for the deployment.
scaleSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettingsInformation: Get the scaleSettings property: scale settings for AML Compute.
ScaleSettings - Class in com.azure.resourcemanager.machinelearning.models: scale settings for AML Compute.
ScaleSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Creates an instance of ScaleSettings class.
ScaleSettingsInformation - Class in com.azure.resourcemanager.machinelearning.models: Desired scale settings for the amlCompute.
ScaleSettingsInformation() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScaleSettingsInformation: Creates an instance of ScaleSettingsInformation class.
scaleType() - Method in class com.azure.resourcemanager.machinelearning.models.DefaultScaleSettings: Get the scaleType property: [Required] Type of deployment scaling algorithm.
scaleType() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineScaleSettings: Get the scaleType property: [Required] Type of deployment scaling algorithm.
scaleType() - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Get the scaleType property: Gets or sets the type of the scale.
scaleType() - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Get the scaleType property: [Required] Type of deployment scaling algorithm.
ScaleType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ScaleType.
ScaleType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScaleType: Deprecated.
Use the ScaleType.fromString(String) factory method.
SCALING - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Scaling for DeploymentProvisioningState.
schedule() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the schedule property: [Deprecated] Not used any more.
schedule() - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Get the schedule property: Specifies the schedule details.
schedule() - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Get the schedule property: [Required] The recurrence schedule.
schedule() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Get the schedule property: The recurrence schedule.
Schedule - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of Schedule.
SCHEDULE - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationTrigger: Static value Schedule for OperationTrigger.
Schedule.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the Schedule definition.
Schedule.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The Schedule definition stages.
Schedule.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the Schedule definition.
Schedule.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Schedule definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
Schedule.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Schedule definition allowing to specify parent resource.
Schedule.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Schedule definition allowing to specify properties.
Schedule.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for Schedule update.
Schedule.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The Schedule update stages.
Schedule.UpdateStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Schedule update allowing to specify properties.
ScheduleActionBase - Class in com.azure.resourcemanager.machinelearning.models: The ScheduleActionBase model.
ScheduleActionBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleActionBase: Creates an instance of ScheduleActionBase class.
ScheduleActionType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ScheduleActionType.
ScheduleActionType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleActionType: Deprecated.
Use the ScheduleActionType.fromString(String) factory method.
ScheduleBase - Class in com.azure.resourcemanager.machinelearning.models: The ScheduleBase model.
ScheduleBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Creates an instance of ScheduleBase class.
ScheduleInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Azure Resource Manager resource envelope.
ScheduleInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ScheduleInner: Creates an instance of ScheduleInner class.
ScheduleListViewType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ScheduleListViewType.
ScheduleListViewType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleListViewType: Deprecated.
Use the ScheduleListViewType.fromString(String) factory method.
ScheduleProperties - Class in com.azure.resourcemanager.machinelearning.models: Base definition of a schedule.
ScheduleProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Creates an instance of ScheduleProperties class.
ScheduleProvisioningState - Class in com.azure.resourcemanager.machinelearning.models: The current deployment state of schedule.
ScheduleProvisioningState() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningState: Deprecated.
Use the ScheduleProvisioningState.fromString(String) factory method.
ScheduleProvisioningStatus - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ScheduleProvisioningStatus.
ScheduleProvisioningStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningStatus: Deprecated.
Use the ScheduleProvisioningStatus.fromString(String) factory method.
ScheduleResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of Schedule entities.
ScheduleResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleResourceArmPaginatedResult: Creates an instance of ScheduleResourceArmPaginatedResult class.
schedules() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Schedules.
schedules() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the schedules property: The list of schedules to be applied on the computes.
Schedules - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Schedules.
SchedulesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in SchedulesClient.
ScheduleStatus - Class in com.azure.resourcemanager.machinelearning.models: Is the schedule enabled or disabled?.
ScheduleStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScheduleStatus: Deprecated.
Use the ScheduleStatus.fromString(String) factory method.
scope() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the scope property: The scope property.
scope() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the scope property: The scope property.
scoringRoute() - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Get the scoringRoute property: The port to send the scoring requests to, within the inference server container.
scoringScript() - Method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Get the scoringScript property: [Required] The script to execute on startup.
scoringUri() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the scoringUri property: Endpoint URI.
scoringUri() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Get the scoringUri property: Endpoint URI.
scoringUri() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the scoringUri property: Endpoint URI.
scoringUri() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Get the scoringUri property: Endpoint URI.
scriptArguments() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Get the scriptArguments property: Optional command line arguments passed to the script to run.
scriptData() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Get the scriptData property: The location of scripts in the mounted volume.
ScriptReference - Class in com.azure.resourcemanager.machinelearning.models: Script reference.
ScriptReference() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScriptReference: Creates an instance of ScriptReference class.
scripts() - Method in class com.azure.resourcemanager.machinelearning.models.SetupScripts: Get the scripts property: Customized setup scripts.
scriptSource() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Get the scriptSource property: The storage source of the script: workspace.
ScriptsToExecute - Class in com.azure.resourcemanager.machinelearning.models: Customized setup scripts.
ScriptsToExecute() - Constructor for class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Creates an instance of ScriptsToExecute class.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Get the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
searchSpace() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the searchSpace property: [Required] A dictionary containing each parameter and its distribution.
SEASON - Static variable in class com.azure.resourcemanager.machinelearning.models.UseStl: Static value Season for UseStl.
SEASON_TREND - Static variable in class com.azure.resourcemanager.machinelearning.models.UseStl: Static value SeasonTrend for UseStl.
SEASONAL_AVERAGE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value SeasonalAverage for ForecastingModels.
SEASONAL_NAIVE - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value SeasonalNaive for ForecastingModels.
seasonality() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the seasonality property: Set time series seasonality as an integer multiple of the series frequency.
Seasonality - Class in com.azure.resourcemanager.machinelearning.models: Forecasting seasonality.
Seasonality() - Constructor for class com.azure.resourcemanager.machinelearning.models.Seasonality: Creates an instance of Seasonality class.
SeasonalityMode - Class in com.azure.resourcemanager.machinelearning.models: Forecasting seasonality mode.
SeasonalityMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.SeasonalityMode: Deprecated.
Use the SeasonalityMode.fromString(String) factory method.
SECONDARY - Static variable in class com.azure.resourcemanager.machinelearning.models.KeyType: Static value Secondary for KeyType.
secondaryAccessKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner: Get the secondaryAccessKey property: The secondaryAccessKey property.
secondaryAccessKey() - Method in interface com.azure.resourcemanager.machinelearning.models.ListNotebookKeysResult: Gets the secondaryAccessKey property: The secondaryAccessKey property.
secondaryKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Get the secondaryKey property: The secondary key.
secondaryKey() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthKeys: Gets the secondaryKey property: The secondary key.
secretAccessKey() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccessKey: Get the secretAccessKey property: The secretAccessKey property.
secrets() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreCredentials: Get the secrets property: [Required] Storage account secrets.
secrets() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the secrets property: [Required] Service principal secrets.
secrets() - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreCredentials: Get the secrets property: [Required] Storage container secrets.
secrets() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Get the secrets property: [Required] Service principal secrets.
secretsType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreSecretsInner: Get the secretsType property: [Required] Credential type used to authentication with storage.
secretsType() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreSecrets: Get the secretsType property: [Required] Credential type used to authentication with storage.
secretsType() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreSecrets: Get the secretsType property: [Required] Credential type used to authentication with storage.
secretsType() - Method in interface com.azure.resourcemanager.machinelearning.models.DatastoreSecrets: Gets the secretsType property: [Required] Credential type used to authentication with storage.
secretsType() - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreSecrets: Get the secretsType property: [Required] Credential type used to authentication with storage.
secretsType() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreSecrets: Get the secretsType property: [Required] Credential type used to authentication with storage.
SecretsType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the datastore secrets type.
SecretsType() - Constructor for class com.azure.resourcemanager.machinelearning.models.SecretsType: Deprecated.
Use the SecretsType.fromString(String) factory method.
securityToken() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionUsernamePassword: Get the securityToken property: Optional, required by connections like SalesForce for extra security in addition to UsernamePassword.
seed() - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Get the seed property: An optional integer to use as the seed for random number generation.
selinux() - Method in class com.azure.resourcemanager.machinelearning.models.BindOptions: Get the selinux property: Mention the selinux options.
SERP - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Serp for ConnectionCategory.
SERVERLESS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Serverless for ConnectionCategory.
SERVERLESS_SPARK - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitorComputeType: Static value ServerlessSpark for MonitorComputeType.
serverlessComputeCustomSubnet() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessComputeSettings: Get the serverlessComputeCustomSubnet property: The resource ID of an existing virtual network subnet in which serverless compute nodes should be deployed.
serverlessComputeNoPublicIp() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessComputeSettings: Get the serverlessComputeNoPublicIp property: The flag to signal if serverless compute nodes deployed in custom vNet would have no public IP addresses for a workspace with private endpoint.
serverlessComputeSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
serverlessComputeSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
serverlessComputeSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
serverlessComputeSettings() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
serverlessComputeSettings() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
serverlessComputeSettings() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
serverlessComputeSettings() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
ServerlessComputeSettings - Class in com.azure.resourcemanager.machinelearning.models: The ServerlessComputeSettings model.
ServerlessComputeSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServerlessComputeSettings: Creates an instance of ServerlessComputeSettings class.
ServerlessEndpoint - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of ServerlessEndpoint.
ServerlessEndpoint.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the ServerlessEndpoint definition.
ServerlessEndpoint.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The ServerlessEndpoint definition stages.
ServerlessEndpoint.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the ServerlessEndpoint definition.
ServerlessEndpoint.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ServerlessEndpoint definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
ServerlessEndpoint.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ServerlessEndpoint definition allowing to specify identity.
ServerlessEndpoint.DefinitionStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ServerlessEndpoint definition allowing to specify kind.
ServerlessEndpoint.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ServerlessEndpoint definition allowing to specify location.
ServerlessEndpoint.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ServerlessEndpoint definition allowing to specify parent resource.
ServerlessEndpoint.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ServerlessEndpoint definition allowing to specify properties.
ServerlessEndpoint.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ServerlessEndpoint definition allowing to specify sku.
ServerlessEndpoint.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ServerlessEndpoint definition allowing to specify tags.
ServerlessEndpoint.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for ServerlessEndpoint update.
ServerlessEndpoint.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The ServerlessEndpoint update stages.
ServerlessEndpoint.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ServerlessEndpoint update allowing to specify identity.
ServerlessEndpoint.UpdateStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ServerlessEndpoint update allowing to specify sku.
ServerlessEndpoint.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the ServerlessEndpoint update allowing to specify tags.
ServerlessEndpointInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The ServerlessEndpoint model.
ServerlessEndpointInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Creates an instance of ServerlessEndpointInner class.
ServerlessEndpointProperties - Class in com.azure.resourcemanager.machinelearning.models: The ServerlessEndpointProperties model.
ServerlessEndpointProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Creates an instance of ServerlessEndpointProperties class.
serverlessEndpoints() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of ServerlessEndpoints.
ServerlessEndpoints - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of ServerlessEndpoints.
ServerlessEndpointsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in ServerlessEndpointsClient.
ServerlessEndpointState - Class in com.azure.resourcemanager.machinelearning.models: State of the Serverless Endpoint.
ServerlessEndpointState() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Deprecated.
Use the ServerlessEndpointState.fromString(String) factory method.
ServerlessEndpointTrackedResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of ServerlessEndpoint entities.
ServerlessEndpointTrackedResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointTrackedResourceArmPaginatedResult: Creates an instance of ServerlessEndpointTrackedResourceArmPaginatedResult class.
ServerlessInferenceEndpoint - Class in com.azure.resourcemanager.machinelearning.models: The ServerlessInferenceEndpoint model.
ServerlessInferenceEndpoint() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServerlessInferenceEndpoint: Creates an instance of ServerlessInferenceEndpoint class.
ServerlessInferenceEndpointAuthMode - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ServerlessInferenceEndpointAuthMode.
ServerlessInferenceEndpointAuthMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServerlessInferenceEndpointAuthMode: Deprecated.
Use the ServerlessInferenceEndpointAuthMode.fromString(String) factory method.
SERVICE_NOW - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value ServiceNow for ConnectionCategory.
SERVICE_PRINCIPAL - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value ServicePrincipal for ConnectionAuthType.
SERVICE_PRINCIPAL - Static variable in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Static value ServicePrincipal for CredentialsType.
SERVICE_PRINCIPAL - Static variable in class com.azure.resourcemanager.machinelearning.models.SecretsType: Static value ServicePrincipal for SecretsType.
SERVICE_TAG - Static variable in class com.azure.resourcemanager.machinelearning.models.RuleType: Static value ServiceTag for RuleType.
serviceBusConnectionString() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the serviceBusConnectionString property: ServiceBus connection string.
serviceCidr() - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Get the serviceCidr property: A CIDR notation IP range from which to assign service cluster IPs.
serviceClient() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets wrapped service client AzureMachineLearningWorkspaces providing direct access to the underlying auto-generated API implementation, based on Azure REST API.
serviceDataAccessAuthIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
serviceDataAccessAuthIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Get the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
serviceDataAccessAuthIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
serviceDataAccessAuthIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
serviceDataAccessAuthIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Get the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
ServiceDataAccessAuthIdentity - Class in com.azure.resourcemanager.machinelearning.models: Defines values for ServiceDataAccessAuthIdentity.
ServiceDataAccessAuthIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity: Deprecated.
Use the ServiceDataAccessAuthIdentity.fromString(String) factory method.
serviceManagedResourcesSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the serviceManagedResourcesSettings property: The service managed resource settings.
serviceManagedResourcesSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the serviceManagedResourcesSettings property: The service managed resource settings.
serviceManagedResourcesSettings() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the serviceManagedResourcesSettings property: The service managed resource settings.
serviceManagedResourcesSettings() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the serviceManagedResourcesSettings property: The service managed resource settings.
serviceManagedResourcesSettings() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the serviceManagedResourcesSettings property: The service managed resource settings.
serviceManagedResourcesSettings() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the serviceManagedResourcesSettings property: The service managed resource settings.
serviceManagedResourcesSettings() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the serviceManagedResourcesSettings property: The service managed resource settings.
ServiceManagedResourcesSettings - Class in com.azure.resourcemanager.machinelearning.models: The ServiceManagedResourcesSettings model.
ServiceManagedResourcesSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServiceManagedResourcesSettings: Creates an instance of ServiceManagedResourcesSettings class.
ServicePrincipalAuthTypeWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: The ServicePrincipalAuthTypeWorkspaceConnectionProperties model.
ServicePrincipalAuthTypeWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Creates an instance of ServicePrincipalAuthTypeWorkspaceConnectionProperties class.
ServicePrincipalDatastoreCredentials - Class in com.azure.resourcemanager.machinelearning.models: Service Principal datastore credentials configuration.
ServicePrincipalDatastoreCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Creates an instance of ServicePrincipalDatastoreCredentials class.
ServicePrincipalDatastoreSecrets - Class in com.azure.resourcemanager.machinelearning.models: Datastore Service Principal secrets.
ServicePrincipalDatastoreSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreSecrets: Creates an instance of ServicePrincipalDatastoreSecrets class.
serviceProvisionedResourceGroup() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the serviceProvisionedResourceGroup property: The name of the managed resource group created by workspace RP in customer subscription if the workspace is CMK workspace.
serviceProvisionedResourceGroup() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the serviceProvisionedResourceGroup property: The name of the managed resource group created by workspace RP in customer subscription if the workspace is CMK workspace.
serviceProvisionedResourceGroup() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the serviceProvisionedResourceGroup property: The name of the managed resource group created by workspace RP in customer subscription if the workspace is CMK workspace.
serviceProvisionedResourceGroup() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the serviceProvisionedResourceGroup property: The name of the managed resource group created by workspace RP in customer subscription if the workspace is CMK workspace.
serviceResourceId() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination: Get the serviceResourceId property: The serviceResourceId property.
services() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Get the services property: services of this containers.
services() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Get the services property: List of JobEndpoints.
SERVICES_AND_APPS - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionGroup: Static value ServicesAndApps for ConnectionGroup.
serviceTag() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Get the serviceTag property: The serviceTag property.
ServiceTagDestination - Class in com.azure.resourcemanager.machinelearning.models: Service Tag destination for a Service Tag Outbound Rule for the managed network of a machine learning workspace.
ServiceTagDestination() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Creates an instance of ServiceTagDestination class.
ServiceTagOutboundRule - Class in com.azure.resourcemanager.machinelearning.models: Service Tag Outbound Rule for the managed network of a machine learning workspace.
ServiceTagOutboundRule() - Constructor for class com.azure.resourcemanager.machinelearning.models.ServiceTagOutboundRule: Creates an instance of ServiceTagOutboundRule class.
SETTING_UP - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value SettingUp for ComputeInstanceState.
settings() - Method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Get the settings property: Run-time settings for the pipeline job.
settings() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Get the settings property: Pipeline settings, for things like ContinueRunOnStepFailure etc.
SETUP_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value SetupFailed for ComputeInstanceState.
setupScripts() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the setupScripts property: Details of customized scripts to execute for setting up the cluster.
SetupScripts - Class in com.azure.resourcemanager.machinelearning.models: Details of customized scripts to execute for setting up the cluster.
SetupScripts() - Constructor for class com.azure.resourcemanager.machinelearning.models.SetupScripts: Creates an instance of SetupScripts class.
SFTP - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Sftp for ConnectionCategory.
SGD - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value SGD for ClassificationModels.
SGD - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value SGD for ForecastingModels.
SGD - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value SGD for RegressionModels.
SGD - Static variable in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Static value Sgd for StochasticOptimizer.
SHARE_POINT_ONLINE_LIST - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value SharePointOnlineList for ConnectionCategory.
SHARED - Static variable in class com.azure.resourcemanager.machinelearning.models.ApplicationSharingPolicy: Static value Shared for ApplicationSharingPolicy.
SharedPrivateLinkResource - Class in com.azure.resourcemanager.machinelearning.models: The SharedPrivateLinkResource model.
SharedPrivateLinkResource() - Constructor for class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Creates an instance of SharedPrivateLinkResource class.
SharedPrivateLinkResourceProperty - Class in com.azure.resourcemanager.machinelearning.fluent.models: Properties of a shared private link resource.
SharedPrivateLinkResourceProperty() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Creates an instance of SharedPrivateLinkResourceProperty class.
sharedPrivateLinkResources() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
sharedPrivateLinkResources() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
sharedPrivateLinkResources() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
sharedPrivateLinkResources() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
sharedUserList() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Get the sharedUserList property: The sharedUserList property.
shmSize() - Method in class com.azure.resourcemanager.machinelearning.models.JobResourceConfiguration: Get the shmSize property: Size of the docker container's shared memory block.
SHOPIFY - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Shopify for ConnectionCategory.
shortSeriesHandlingConfig() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the shortSeriesHandlingConfig property: The parameter defining how if AutoML should handle short time series.
ShortSeriesHandlingConfiguration - Class in com.azure.resourcemanager.machinelearning.models: The parameter defining how if AutoML should handle short time series.
ShortSeriesHandlingConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Deprecated.
Use the ShortSeriesHandlingConfiguration.fromString(String) factory method.
signals() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorDefinition: Get the signals property: [Required] The signals to monitor.
signalType() - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Get the signalType property: [Required] Specifies the type of signal to monitor.
signalType() - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Get the signalType property: [Required] Specifies the type of signal to monitor.
signalType() - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Get the signalType property: [Required] Specifies the type of signal to monitor.
signalType() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Get the signalType property: [Required] Specifies the type of signal to monitor.
signalType() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalBase: Get the signalType property: [Required] Specifies the type of signal to monitor.
signalType() - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Get the signalType property: [Required] Specifies the type of signal to monitor.
size() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Get the size property: The SKU size.
size() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Get the size property: The SKU size.
size() - Method in class com.azure.resourcemanager.machinelearning.models.TmpfsOptions: Get the size property: Mention the Tmpfs size.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the sku property: The sku of the workspace.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the sku property: The sku of the workspace.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Get the sku property: Gets or sets the Sku.
sku() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the sku property: The sku of the workspace.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the sku property: The sku of the workspace.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSku: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSkuAndIdentity: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in class com.azure.resourcemanager.machinelearning.models.PartialRegistryPartialTrackedResource: Get the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the sku property: The sku of the workspace.
sku() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the sku property: The sku of the workspace.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the sku property: Sku details required for ARM contract for Autoscaling.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.SkuResource: Gets the sku property: Gets or sets the Sku.
sku() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the sku property: The sku of the workspace.
sku() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the sku property: The sku of the workspace.
Sku - Class in com.azure.resourcemanager.machinelearning.models: The resource model definition representing SKU.
Sku() - Constructor for class com.azure.resourcemanager.machinelearning.models.Sku: Creates an instance of Sku class.
SkuCapacity - Class in com.azure.resourcemanager.machinelearning.models: SKU capacity information.
SkuCapacity() - Constructor for class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Creates an instance of SkuCapacity class.
SkuResource - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of SkuResource.
SkuResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: A paginated list of SkuResource entities.
SkuResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Creates an instance of SkuResourceArmPaginatedResult class.
SkuResourceInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Fulfills ARM Contract requirement to list all available SKUS for a resource.
SkuResourceInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Creates an instance of SkuResourceInner class.
SkuScaleType - Class in com.azure.resourcemanager.machinelearning.models: Node scaling setting for the compute sku.
SkuScaleType() - Constructor for class com.azure.resourcemanager.machinelearning.models.SkuScaleType: Deprecated.
Use the SkuScaleType.fromString(String) factory method.
SkuSetting - Class in com.azure.resourcemanager.machinelearning.models: SkuSetting fulfills the need for stripped down SKU info in ARM contract.
SkuSetting() - Constructor for class com.azure.resourcemanager.machinelearning.models.SkuSetting: Creates an instance of SkuSetting class.
SkuTier - Enum in com.azure.resourcemanager.machinelearning.models: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
slackAmount() - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Get the slackAmount property: Absolute distance allowed from the best performing run.
slackFactor() - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Get the slackFactor property: Ratio of the allowed distance from the best performing run.
SMALL - Static variable in class com.azure.resourcemanager.machinelearning.models.ModelSize: Static value Small for ModelSize.
SNOWFLAKE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Snowflake for ConnectionCategory.
SOBOL - Static variable in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithmRule: Static value Sobol for RandomSamplingAlgorithmRule.
source() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the source property: Source of the ComputeInstance data mount.
source() - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Get the source property: Source of the mount.
sourceJobId() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Get the sourceJobId property: ARM resource ID of source job.
sourceType() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Get the sourceType property: Data source type.
SourceType - Class in com.azure.resourcemanager.machinelearning.models: Data source type.
SourceType() - Constructor for class com.azure.resourcemanager.machinelearning.models.SourceType: Deprecated.
Use the SourceType.fromString(String) factory method.
SPARK - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Spark for ConnectionCategory.
SPARK - Static variable in class com.azure.resourcemanager.machinelearning.models.JobType: Static value Spark for JobType.
SPARK_JOB_PYTHON_ENTRY - Static variable in class com.azure.resourcemanager.machinelearning.models.SparkJobEntryType: Static value SparkJobPythonEntry for SparkJobEntryType.
SPARK_JOB_SCALA_ENTRY - Static variable in class com.azure.resourcemanager.machinelearning.models.SparkJobEntryType: Static value SparkJobScalaEntry for SparkJobEntryType.
sparkConfiguration() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Get the sparkConfiguration property: Specifies the spark compute settings.
sparkConfiguration() - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Get the sparkConfiguration property: Specifies the spark compute settings.
sparkEnabled() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination: Get the sparkEnabled property: The sparkEnabled property.
SparkJob - Class in com.azure.resourcemanager.machinelearning.models: Spark job definition.
SparkJob() - Constructor for class com.azure.resourcemanager.machinelearning.models.SparkJob: Creates an instance of SparkJob class.
SparkJobEntry - Class in com.azure.resourcemanager.machinelearning.models: Spark job entry point definition.
SparkJobEntry() - Constructor for class com.azure.resourcemanager.machinelearning.models.SparkJobEntry: Creates an instance of SparkJobEntry class.
sparkJobEntryType() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobEntry: Get the sparkJobEntryType property: [Required] Type of the job's entry point.
sparkJobEntryType() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobPythonEntry: Get the sparkJobEntryType property: [Required] Type of the job's entry point.
sparkJobEntryType() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobScalaEntry: Get the sparkJobEntryType property: [Required] Type of the job's entry point.
SparkJobEntryType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for SparkJobEntryType.
SparkJobEntryType() - Constructor for class com.azure.resourcemanager.machinelearning.models.SparkJobEntryType: Deprecated.
Use the SparkJobEntryType.fromString(String) factory method.
SparkJobPythonEntry - Class in com.azure.resourcemanager.machinelearning.models: The SparkJobPythonEntry model.
SparkJobPythonEntry() - Constructor for class com.azure.resourcemanager.machinelearning.models.SparkJobPythonEntry: Creates an instance of SparkJobPythonEntry class.
SparkJobScalaEntry - Class in com.azure.resourcemanager.machinelearning.models: The SparkJobScalaEntry model.
SparkJobScalaEntry() - Constructor for class com.azure.resourcemanager.machinelearning.models.SparkJobScalaEntry: Creates an instance of SparkJobScalaEntry class.
sparkReady() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkProvisionStatusInner: Get the sparkReady property: The sparkReady property.
sparkReady() - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkProvisionStatus: Gets the sparkReady property: The sparkReady property.
SparkResourceConfiguration - Class in com.azure.resourcemanager.machinelearning.models: The SparkResourceConfiguration model.
SparkResourceConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.SparkResourceConfiguration: Creates an instance of SparkResourceConfiguration class.
sparkRuntimeVersion() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRuntimeDto: Get the sparkRuntimeVersion property: The sparkRuntimeVersion property.
sparkStatus() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination: Get the sparkStatus property: Type of a managed network Outbound Rule of a machine learning workspace.
sparkVersion() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the sparkVersion property: Spark version.
SPEARMAN_CORRELATION - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Static value SpearmanCorrelation for ForecastingPrimaryMetrics.
SPEARMAN_CORRELATION - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Static value SpearmanCorrelation for RegressionPrimaryMetrics.
specification() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Get the specification property: Specifies the feature spec details.
SPOT - Static variable in class com.azure.resourcemanager.machinelearning.models.JobTier: Static value Spot for JobTier.
SPOT - Static variable in class com.azure.resourcemanager.machinelearning.models.VMTier: Static value Spot for VMTier.
SQL_SERVER - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value SqlServer for ConnectionCategory.
SQUARE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Square for ConnectionCategory.
sshPort() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Get the sshPort property: Describes the port for connecting through SSH.
sshPort() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Get the sshPort property: Port open for ssh connections on the master node of the cluster.
sshPort() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the sshPort property: Port open for ssh connections.
sshPublicAccess() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Get the sshPublicAccess property: State of the public SSH port.
SshPublicAccess - Class in com.azure.resourcemanager.machinelearning.models: Access policy for SSH State of the public SSH port.
SshPublicAccess() - Constructor for class com.azure.resourcemanager.machinelearning.models.SshPublicAccess: Deprecated.
Use the SshPublicAccess.fromString(String) factory method.
sshSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the sshSettings property: Specifies policy and settings for SSH access.
SslConfigStatus - Class in com.azure.resourcemanager.machinelearning.models: Enable or disable ssl for scoring.
SslConfigStatus() - Constructor for class com.azure.resourcemanager.machinelearning.models.SslConfigStatus: Deprecated.
Use the SslConfigStatus.fromString(String) factory method.
sslConfiguration() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the sslConfiguration property: SSL configuration.
SslConfiguration - Class in com.azure.resourcemanager.machinelearning.models: The ssl configuration for scoring.
SslConfiguration() - Constructor for class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Creates an instance of SslConfiguration class.
stackEnsembleSettings() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Get the stackEnsembleSettings property: Stack ensemble settings for stack ensemble run.
StackEnsembleSettings - Class in com.azure.resourcemanager.machinelearning.models: Advances setting to customize StackEnsemble run.
StackEnsembleSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Creates an instance of StackEnsembleSettings class.
stackMetaLearnerKWargs() - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Get the stackMetaLearnerKWargs property: Optional parameters to pass to the initializer of the meta-learner.
stackMetaLearnerTrainPercentage() - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Get the stackMetaLearnerTrainPercentage property: Specifies the proportion of the training set (when choosing train and validation type of training) to be reserved for training the meta-learner.
stackMetaLearnerType() - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Get the stackMetaLearnerType property: The meta-learner is a model trained on the output of the individual heterogeneous models.
StackMetaLearnerType - Class in com.azure.resourcemanager.machinelearning.models: The meta-learner is a model trained on the output of the individual heterogeneous models.
StackMetaLearnerType() - Constructor for class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Deprecated.
Use the StackMetaLearnerType.fromString(String) factory method.
stage() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Get the stage property: Stage in the environment lifecycle assigned to this environment.
stage() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Get the stage property: Specifies the asset stage.
stage() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Get the stage property: Specifies the asset stage.
stage() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Get the stage property: Stage in the model lifecycle assigned to this model.
STANDARD - Enum constant in enum com.azure.resourcemanager.machinelearning.models.SkuTier: Enum value Standard.
STANDARD - Static variable in class com.azure.resourcemanager.machinelearning.models.JobTier: Static value Standard for JobTier.
STANDARD - Static variable in class com.azure.resourcemanager.machinelearning.models.VMTier: Static value Standard for VMTier.
STANDARD_LRS - Static variable in class com.azure.resourcemanager.machinelearning.models.StorageAccountType: Static value Standard_LRS for StorageAccountType.
start() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a start action to a compute instance.
start(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a start action to a compute instance.
start(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a start action to a compute instance.
start(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a start action to a compute instance.
start(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a start action to a compute instance.
start(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a start action to a compute instance.
START - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputePowerAction: Static value Start for ComputePowerAction.
START - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Start for OperationName.
START_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value StartFailed for OperationStatus.
STARTING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Starting for ComputeInstanceState.
STARTING - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Starting for JobStatus.
startTime() - Method in class com.azure.resourcemanager.machinelearning.models.Cron: Get the startTime property: The start time in yyyy-MM-ddTHH:mm:ss format.
startTime() - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Get the startTime property: The start time in yyyy-MM-ddTHH:mm:ss format.
startTime() - Method in class com.azure.resourcemanager.machinelearning.models.TriggerBase: Get the startTime property: Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
startupScript() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Get the startupScript property: Script that's run every time the machine starts.
state() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the state property: The current state of this ComputeInstance.
STATIC - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataType: Static value Static for MonitoringInputDataType.
StaticInputData - Class in com.azure.resourcemanager.machinelearning.models: Static input data definition.
StaticInputData() - Constructor for class com.azure.resourcemanager.machinelearning.models.StaticInputData: Creates an instance of StaticInputData class.
status() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkProvisionStatusInner: Get the status property: Status for the managed network of a machine learning workspace.
status() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner: Get the status property: Status of the Provisioning for the managed network of a machine learning workspace.
status() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Get the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
status() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the status property: Status of the job.
status() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Get the status property: Status of the job.
status() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the status property: Is the schedule enabled or disabled?.
status() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Get the status property: Indicates whether or not the encryption is enabled for the workspace.
status() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Get the status property: Status of the job.
status() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Get the status property: Status of endpoint.
status() - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkProvisionStatus: Gets the status property: Status for the managed network of a machine learning workspace.
status() - Method in interface com.azure.resourcemanager.machinelearning.models.ManagedNetworkSettings: Gets the status property: Status of the Provisioning for the managed network of a machine learning workspace.
status() - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRule: Get the status property: Type of a managed network Outbound Rule of a machine learning workspace.
status() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Get the status property: Status of the job.
status() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Get the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
status() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateLinkServiceConnectionState: Get the status property: Connection status of the service consumer with the service provider.
status() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Get the status property: Is the schedule enabled or disabled?.
status() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Get the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
status() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Get the status property: Status of the job.
status() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Get the status property: Enable or disable ssl for scoring.
status() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the status property: Status of the job.
status() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Get the status property: Status of update workspace quota.
Status - Class in com.azure.resourcemanager.machinelearning.models: Update Workspace Quota Status.
Status() - Constructor for class com.azure.resourcemanager.machinelearning.models.Status: Deprecated.
Use the Status.fromString(String) factory method.
statusCode() - Method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Get the statusCode property: The statusCode property.
STEADY - Static variable in class com.azure.resourcemanager.machinelearning.models.AllocationState: Static value Steady for AllocationState.
STEP - Static variable in class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler: Static value Step for LearningRateScheduler.
stepLRGamma() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
stepLRGamma() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
stepLRStepSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
stepLRStepSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
StochasticOptimizer - Class in com.azure.resourcemanager.machinelearning.models: Stochastic optimizer for image models.
StochasticOptimizer() - Constructor for class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Deprecated.
Use the StochasticOptimizer.fromString(String) factory method.
stop() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a stop action to a compute instance.
stop(Context) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Posts a stop action to a compute instance.
stop(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a stop action to a compute instance.
stop(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a stop action to a compute instance.
stop(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Posts a stop action to a compute instance.
stop(String, String, String, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Computes: Posts a stop action to a compute instance.
STOP - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputePowerAction: Static value Stop for ComputePowerAction.
STOP - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationName: Static value Stop for OperationName.
STOP_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value StopFailed for OperationStatus.
STOPPED - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Stopped for ComputeInstanceState.
STOPPING - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Stopping for ComputeInstanceState.
STORAGE_INITIALIZER - Static variable in class com.azure.resourcemanager.machinelearning.models.ContainerType: Static value StorageInitializer for ContainerType.
storageAccount() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the storageAccount property: ARM id of the storage account associated with this workspace.
storageAccount() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the storageAccount property: ARM id of the storage account associated with this workspace.
storageAccount() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the storageAccount property: Setting for diagnosing dependent storage account.
storageAccount() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the storageAccount property: ARM id of the storage account associated with this workspace.
storageAccount() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the storageAccount property: ARM id of the storage account associated with this workspace.
storageAccountArmId() - Method in class com.azure.resourcemanager.machinelearning.models.BlobReferenceForConsumptionDto: Get the storageAccountArmId property: Arm ID of the storage account to use.
storageAccountArmId() - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceForConsumptionDto: Get the storageAccountArmId property: The ARM id of the storage account.
storageAccountDetails() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryRegionArmDetails: Get the storageAccountDetails property: List of storage accounts.
StorageAccountDetails - Class in com.azure.resourcemanager.machinelearning.models: Details of storage account to be used for the Registry.
StorageAccountDetails() - Constructor for class com.azure.resourcemanager.machinelearning.models.StorageAccountDetails: Creates an instance of StorageAccountDetails class.
storageAccountHnsEnabled() - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Get the storageAccountHnsEnabled property: HNS enabled for storage account.
storageAccountName() - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Get the storageAccountName property: Name of the storage account.
storageAccountResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the storageAccountResults property: The storageAccountResults property.
storageAccountType() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Get the storageAccountType property: type of this storage account.
storageAccountType() - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Get the storageAccountType property: Allowed values: "Standard_LRS", "Standard_GRS", "Standard_RAGRS", "Standard_ZRS", "Standard_GZRS", "Standard_RAGZRS", "Premium_LRS", "Premium_ZRS".
StorageAccountType - Class in com.azure.resourcemanager.machinelearning.models: type of this storage account.
StorageAccountType() - Constructor for class com.azure.resourcemanager.machinelearning.models.StorageAccountType: Deprecated.
Use the StorageAccountType.fromString(String) factory method.
storageHnsEnabled() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the storageHnsEnabled property: If the storage associated with the workspace has hierarchical namespace(HNS) enabled.
storageHnsEnabled() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the storageHnsEnabled property: If the storage associated with the workspace has hierarchical namespace(HNS) enabled.
storageHnsEnabled() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the storageHnsEnabled property: If the storage associated with the workspace has hierarchical namespace(HNS) enabled.
storageHnsEnabled() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the storageHnsEnabled property: If the storage associated with the workspace has hierarchical namespace(HNS) enabled.
storeName() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Get the storeName property: [Required] Azure Data Lake store name.
storeType() - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Get the storeType property: Specifies the stores to which materialization should happen.
STRING - Static variable in class com.azure.resourcemanager.machinelearning.models.FeatureDataType: Static value String for FeatureDataType.
subnet() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the subnet property: Virtual network subnet resource ID the compute nodes belong to.
subnet() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the subnet property: Virtual network subnet resource ID the compute nodes belong to.
subnetArmId() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointResource: Get the subnetArmId property: The subnetId that the private endpoint is connected to.
subnetId() - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Get the subnetId property: Virtual network subnet resource ID the compute nodes belong to.
subresourceTarget() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination: Get the subresourceTarget property: The subresourceTarget property.
SUBSCRIBED - Static variable in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionStatus: Static value Subscribed for MarketplaceSubscriptionStatus.
subscriptionId() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Get the subscriptionId property: Azure Subscription Id.
subscriptionId() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Get the subscriptionId property: Azure Subscription Id.
subscriptionId() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Get the subscriptionId property: Azure Subscription Id.
subscriptionId() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDatastore: Get the subscriptionId property: Azure Subscription Id.
subscriptionId() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Get the subscriptionId property: Azure Subscription Id.
subscriptionId() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the subscriptionId property: Azure subscription identifier.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.AssetProvisioningState: Static value Succeeded for AssetProvisioningState.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Succeeded for DeploymentProvisioningState.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Succeeded for EndpointProvisioningState.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProvisioningState: Static value Succeeded for MarketplaceSubscriptionProvisioningState.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Static value Succeeded for OperationStatus.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Static value Succeeded for PrivateEndpointConnectionProvisioningState.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Succeeded for ProvisioningState.
SUCCEEDED - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningStatus: Static value Succeeded for ScheduleProvisioningStatus.
SUCCESS - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value Success for Status.
successThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Get the successThreshold property: The number of successful probes before returning a healthy status.
SUM - Static variable in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Static value Sum for TargetAggregationFunction.
SUMMARY_ONLY - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchOutputAction: Static value SummaryOnly for BatchOutputAction.
SUNDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeWeekDay: Static value Sunday for ComputeWeekDay.
SUNDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.WeekDay: Static value Sunday for WeekDay.
supportedComputeTypes() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the supportedComputeTypes property: Specifies the compute types supported by the virtual machine size.
SUSPENDED - Static variable in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionStatus: Static value Suspended for MarketplaceSubscriptionStatus.
SUSPENDED - Static variable in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Static value Suspended for ServerlessEndpointState.
SUSPENDING - Static variable in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Static value Suspending for ServerlessEndpointState.
SVM - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value SVM for ClassificationModels.
swaggerUri() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Get the swaggerUri property: Endpoint Swagger URI.
swaggerUri() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Get the swaggerUri property: Endpoint Swagger URI.
swaggerUri() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointPropertiesBase: Gets the swaggerUri property: Endpoint Swagger URI.
swaggerUri() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Get the swaggerUri property: Endpoint Swagger URI.
SWEEP - Static variable in class com.azure.resourcemanager.machinelearning.models.JobLimitsType: Static value Sweep for JobLimitsType.
SWEEP - Static variable in class com.azure.resourcemanager.machinelearning.models.JobType: Static value Sweep for JobType.
SweepJob - Class in com.azure.resourcemanager.machinelearning.models: Sweep job definition.
SweepJob() - Constructor for class com.azure.resourcemanager.machinelearning.models.SweepJob: Creates an instance of SweepJob class.
SweepJobLimits - Class in com.azure.resourcemanager.machinelearning.models: Sweep Job limit class.
SweepJobLimits() - Constructor for class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Creates an instance of SweepJobLimits class.
sweepSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
sweepSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
sweepSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
sweepSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
sweepSettings() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Get the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
SYBASE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Sybase for ConnectionCategory.
SYNAPSE_SPARK - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value SynapseSpark for ComputeType.
SynapseSpark - Class in com.azure.resourcemanager.machinelearning.models: A SynapseSpark compute.
SynapseSpark() - Constructor for class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Creates an instance of SynapseSpark class.
SynapseSparkProperties - Class in com.azure.resourcemanager.machinelearning.models: The SynapseSparkProperties model.
SynapseSparkProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Creates an instance of SynapseSparkProperties class.
SYSTEM - Static variable in class com.azure.resourcemanager.machinelearning.models.Origin: Static value system for Origin.
SYSTEM_ASSIGNED - Static variable in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Static value SystemAssigned for ManagedServiceIdentityType.
SYSTEM_ASSIGNED_USER_ASSIGNED - Static variable in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Static value SystemAssigned,UserAssigned for ManagedServiceIdentityType.
systemCreatedAcrAccount() - Method in class com.azure.resourcemanager.machinelearning.models.AcrDetails: Get the systemCreatedAcrAccount property: Details of system created ACR account to be used for the Registry.
SystemCreatedAcrAccount - Class in com.azure.resourcemanager.machinelearning.models: The SystemCreatedAcrAccount model.
SystemCreatedAcrAccount() - Constructor for class com.azure.resourcemanager.machinelearning.models.SystemCreatedAcrAccount: Creates an instance of SystemCreatedAcrAccount class.
systemCreatedStorageAccount() - Method in class com.azure.resourcemanager.machinelearning.models.StorageAccountDetails: Get the systemCreatedStorageAccount property: Details of system created storage account to be used for the registry.
SystemCreatedStorageAccount - Class in com.azure.resourcemanager.machinelearning.models: The SystemCreatedStorageAccount model.
SystemCreatedStorageAccount() - Constructor for class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Creates an instance of SystemCreatedStorageAccount class.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeatureInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetContainerInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityContainerInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityVersionInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.MarketplaceSubscriptionInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OutboundRuleBasicResourceInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ScheduleInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionPropertiesV2BasicResourceInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.Feature: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
systemData() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource: Gets the systemData property: Azure Resource Manager metadata containing createdBy and modifiedBy information.
SystemService - Class in com.azure.resourcemanager.machinelearning.models: A system service running on a compute.
SystemService() - Constructor for class com.azure.resourcemanager.machinelearning.models.SystemService: Creates an instance of SystemService class.
systemServices() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Get the systemServices property: System services.
systemServiceType() - Method in class com.azure.resourcemanager.machinelearning.models.SystemService: Get the systemServiceType property: The type of this system service.

T

TableVertical - Class in com.azure.resourcemanager.machinelearning.models: Abstract class for AutoML tasks that use table dataset as input - such as Classification/Regression/Forecasting.
TableVertical() - Constructor for class com.azure.resourcemanager.machinelearning.models.TableVertical: Creates an instance of TableVertical class.
TableVerticalFeaturizationSettings - Class in com.azure.resourcemanager.machinelearning.models: Featurization Configuration.
TableVerticalFeaturizationSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Creates an instance of TableVerticalFeaturizationSettings class.
TableVerticalLimitSettings - Class in com.azure.resourcemanager.machinelearning.models: Job execution constraints.
TableVerticalLimitSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Creates an instance of TableVerticalLimitSettings class.
tags() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the tags property: Resource tags.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the tags property: Resource tags.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Get the tags property: The tags which will be applied to the job.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Get the tags property: Specifies the tags.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the tags property: Resource tags.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the tags property: Resource tags.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties: Get the tags property: Resource tags.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResource: Get the tags property: Resource tags.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.PartialRegistryPartialTrackedResource: Get the tags property: Resource tags.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the tags property: Resource tags.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Get the tags property: Tag dictionary.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the tags property: Resource tags.
tags() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the tags property: Contains resource tags defined as key/value pairs.
tags() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the tags property: The resource tags for the machine learning workspace.
tail() - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Get the tail property: The maximum number of lines to tail.
target() - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Get the target property: Application port inside the container.
target() - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Get the target property: Target of the mount.
target() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Get the target property: The target property.
TARGET_UTILIZATION - Static variable in class com.azure.resourcemanager.machinelearning.models.ScaleType: Static value TargetUtilization for ScaleType.
targetAggregateFunction() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the targetAggregateFunction property: The function to be used to aggregate the time series target column to conform to a user specified frequency.
TargetAggregationFunction - Class in com.azure.resourcemanager.machinelearning.models: Target aggregate function.
TargetAggregationFunction() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Deprecated.
Use the TargetAggregationFunction.fromString(String) factory method.
targetColumn() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureImportanceSettings: Get the targetColumn property: The name of the target column within the input data asset.
targetColumnName() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Get the targetColumnName property: Target column name: This is prediction values column.
targetLags() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the targetLags property: The number of past periods to lag from the target column.
TargetLags - Class in com.azure.resourcemanager.machinelearning.models: The number of past periods to lag from the target column.
TargetLags() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetLags: Creates an instance of TargetLags class.
TargetLagsMode - Class in com.azure.resourcemanager.machinelearning.models: Target lags selection modes.
TargetLagsMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetLagsMode: Deprecated.
Use the TargetLagsMode.fromString(String) factory method.
targetNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the targetNodeCount property: The target number of compute nodes for the compute.
targetRollingWindowSize() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the targetRollingWindowSize property: The number of past periods used to create a rolling window average of the target column.
TargetRollingWindowSize - Class in com.azure.resourcemanager.machinelearning.models: Forecasting target rolling window size.
TargetRollingWindowSize() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSize: Creates an instance of TargetRollingWindowSize class.
TargetRollingWindowSizeMode - Class in com.azure.resourcemanager.machinelearning.models: Target rolling windows size mode.
TargetRollingWindowSizeMode() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSizeMode: Deprecated.
Use the TargetRollingWindowSizeMode.fromString(String) factory method.
targetUtilizationPercentage() - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Get the targetUtilizationPercentage property: Target CPU usage for the autoscaler.
TargetUtilizationScaleSettings - Class in com.azure.resourcemanager.machinelearning.models: The TargetUtilizationScaleSettings model.
TargetUtilizationScaleSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Creates an instance of TargetUtilizationScaleSettings class.
taskDetails() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Get the taskDetails property: [Required] This represents scenario which can be one of Tables/NLP/Image.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Get the taskType property: [Required] Task type for AutoMLJob.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the taskType property: [Required] Task type for AutoMLJob.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the taskType property: [Required] Task type for AutoMLJob.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the taskType property: [Required] Task type for AutoMLJob.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the taskType property: [Required] Task type for AutoMLJob.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the taskType property: [Required] Task type for AutoMLJob.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the taskType property: [Required] Task type for AutoMLJob.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringTarget: Get the taskType property: [Required] The machine learning task type of the monitored model.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the taskType property: [Required] Task type for AutoMLJob.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Get the taskType property: [Required] Task type for AutoMLJob.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Get the taskType property: [Required] Task type for AutoMLJob.
taskType() - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Get the taskType property: [Required] Task type for AutoMLJob.
TaskType - Class in com.azure.resourcemanager.machinelearning.models: AutoMLJob Task type.
TaskType() - Constructor for class com.azure.resourcemanager.machinelearning.models.TaskType: Deprecated.
Use the TaskType.fromString(String) factory method.
TCNFORECASTER - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value TCNForecaster for ForecastingModels.
TCP - Static variable in class com.azure.resourcemanager.machinelearning.models.Protocol: Static value tcp for Protocol.
TEMPORARY_BLOB_REFERENCE - Static variable in class com.azure.resourcemanager.machinelearning.models.PendingUploadType: Static value TemporaryBlobReference for PendingUploadType.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the tenantId property: The tenant id associated with this workspace.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the tenantId property: The tenant id associated with this workspace.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.models.AssignedUser: Get the tenantId property: User’s AAD Tenant Id.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the tenantId property: [Required] ID of the tenant to which the service principal belongs.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Get the tenantId property: The tenant ID of the system assigned identity.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPartialManagedServiceIdentity: Get the tenantId property: The tenant ID of the system assigned identity.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Get the tenantId property: [Required] ID of the tenant to which the service principal belongs.
tenantId() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the tenantId property: The tenant id associated with this workspace.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Get the tenantId property: Required by QuickBooks and Xero connection categories.
tenantId() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionServicePrincipal: Get the tenantId property: The tenantId property.
tenantId() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the tenantId property: The tenant id associated with this workspace.
TENSOR_FLOW - Static variable in class com.azure.resourcemanager.machinelearning.models.DistributionType: Static value TensorFlow for DistributionType.
TensorFlow - Class in com.azure.resourcemanager.machinelearning.models: TensorFlow distribution configuration.
TensorFlow() - Constructor for class com.azure.resourcemanager.machinelearning.models.TensorFlow: Creates an instance of TensorFlow class.
TERADATA - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Teradata for ConnectionCategory.
testData() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the testData property: Test data input.
testData() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the testData property: Test data input.
testData() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the testData property: Test data input.
testData() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the testData property: Test data input.
testDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose.
testDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose.
testDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose.
testDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose.
TEXT_CLASSIFICATION - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value TextClassification for TaskType.
TEXT_CLASSIFICATION_MULTILABEL - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value TextClassificationMultilabel for TaskType.
TEXT_NER - Static variable in class com.azure.resourcemanager.machinelearning.models.TaskType: Static value TextNER for TaskType.
TEXT_TARGET_ENCODER - Static variable in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Static value TextTargetEncoder for BlockedTransformers.
TextClassification - Class in com.azure.resourcemanager.machinelearning.models: Text Classification task in AutoML NLP vertical.
TextClassification() - Constructor for class com.azure.resourcemanager.machinelearning.models.TextClassification: Creates an instance of TextClassification class.
TextClassificationMultilabel - Class in com.azure.resourcemanager.machinelearning.models: Text Classification Multilabel task in AutoML NLP vertical.
TextClassificationMultilabel() - Constructor for class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Creates an instance of TextClassificationMultilabel class.
TextNer - Class in com.azure.resourcemanager.machinelearning.models: Text-NER task in AutoML NLP vertical.
TextNer() - Constructor for class com.azure.resourcemanager.machinelearning.models.TextNer: Creates an instance of TextNer class.
TF_IDF - Static variable in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Static value TfIdf for BlockedTransformers.
threshold() - Method in class com.azure.resourcemanager.machinelearning.models.CustomMetricThreshold: Get the threshold property: The threshold value.
threshold() - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMetricThresholdBase: Get the threshold property: The threshold value.
threshold() - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMetricThresholdBase: Get the threshold property: The threshold value.
threshold() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetricThreshold: Get the threshold property: The threshold value.
threshold() - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMetricThresholdBase: Get the threshold property: The threshold value.
thumbprint() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Get the thumbprint property: [Required] Thumbprint of the certificate used for authentication.
THURSDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeWeekDay: Static value Thursday for ComputeWeekDay.
THURSDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.WeekDay: Static value Thursday for WeekDay.
tier() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Get the tier property: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
tier() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Get the tier property: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
tier() - Method in class com.azure.resourcemanager.machinelearning.models.SkuSetting: Get the tier property: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
tileGridSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the tileGridSize property: The grid size to use for tiling each image.
tileGridSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the tileGridSize property: The grid size to use for tiling each image.
tileOverlapRatio() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the tileOverlapRatio property: Overlap ratio between adjacent tiles in each dimension.
tileOverlapRatio() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the tileOverlapRatio property: Overlap ratio between adjacent tiles in each dimension.
tilePredictionsNmsThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the tilePredictionsNmsThreshold property: The IOU threshold to use to perform NMS while merging predictions from tiles and image.
tilePredictionsNmsThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the tilePredictionsNmsThreshold property: The IOU threshold to use to perform NMS while merging predictions from tiles and image.
timeColumnName() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the timeColumnName property: The name of the time column.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Get the timeout property: Invocation timeout for a mini-batch, in ISO 8601 format.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Get the timeout property: AutoML job timeout.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.JobLimits: Get the timeout property: The max run duration in ISO 8601 format, after which the job will be cancelled.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Get the timeout property: AutoML job timeout.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Get the timeout property: The probe timeout in ISO 8601 format.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Get the timeout property: Optional time period passed to timeout command.
timeout() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the timeout property: AutoML job timeout.
TIMEOUT - Static variable in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Static value Timeout for PrivateEndpointServiceConnectionStatus.
timeSeriesIdColumnNames() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the timeSeriesIdColumnNames property: The names of columns used to group a timeseries.
timeZone() - Method in class com.azure.resourcemanager.machinelearning.models.Cron: Get the timeZone property: Specifies time zone in which the schedule runs.
timeZone() - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Get the timeZone property: Specifies time zone in which the schedule runs.
timeZone() - Method in class com.azure.resourcemanager.machinelearning.models.TriggerBase: Get the timeZone property: Specifies time zone in which the schedule runs.
tmpfs() - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Get the tmpfs property: tmpfs option of the mount.
TMPFS - Static variable in class com.azure.resourcemanager.machinelearning.models.VolumeDefinitionType: Static value tmpfs for VolumeDefinitionType.
TmpfsOptions - Class in com.azure.resourcemanager.machinelearning.models: Describes the tmpfs options for the container.
TmpfsOptions() - Constructor for class com.azure.resourcemanager.machinelearning.models.TmpfsOptions: Creates an instance of TmpfsOptions class.
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ClusterUpdateProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeSecretsInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreSecretsInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeatureInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetContainerInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionBackfillResponseInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityContainerInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityVersionInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.GetBlobReferenceSasResponseDtoInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListStorageAccountKeysResultInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkProvisionStatusInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.MarketplaceSubscriptionInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OperationInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OutboundRuleBasicResourceInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PendingUploadResponseDtoInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ScheduleInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionPropertiesV2BasicResourceInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreCredentials
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreSecrets
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AcrDetails
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Aks
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchema
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AllFeatures
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AllNodes
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodesInformation
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeSchema
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AmlToken
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AmlTokenComputeIdentity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AnonymousAccessCredential
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ArmResourceId
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AssetReferenceBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AssignedUser
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AutoForecastHorizon
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AutoNCrossValidations
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AutoSeasonality
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AutoTargetLags
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AutoTargetRollingWindowSize
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDatastore
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDevOpsWebhook
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentConfiguration
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDefaults
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BayesianSamplingAlgorithm
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BindOptions
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BlobReferenceForConsumptionDto
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.BuildContext
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetricThreshold
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetricThreshold
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetricThreshold
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreSecrets
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Classification
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ClusterUpdateParameters
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Collection
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJobLimits
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Compute
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceConnectivityEndpoints
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSchema
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceVersion
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeResourceSchema
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRuntimeDto
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeSchedules
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ContentSafety
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CosmosDbSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CreateMonitorAction
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Cron
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CronTrigger
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomForecastHorizon
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeys
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomMetricThreshold
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomNCrossValidations
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomSeasonality
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomService
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetLags
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetRollingWindowSize
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Databricks
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecrets
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecretsProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksSchema
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataCollector
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMetricThresholdBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchema
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchemaProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMetricThresholdBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataReferenceCredential
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreCredentials
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DefaultScaleSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentResourceConfiguration
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DestinationAsset
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseWorkspaceParameters
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DistributionConfiguration
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Docker
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.DockerCredential
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultUpdateProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionUpdateProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointScheduleAction
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariable
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetricThreshold
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureImportanceSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetSpecification
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureStoreSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureSubset
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureWindow
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturizationSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FixedInputData
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FlavorData
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastHorizon
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointDetail
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoints
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnOutboundRule
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceForConsumptionDto
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceSasRequestDto
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.GridSamplingAlgorithm
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightSchema
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.IdAssetReference
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.IdentityConfiguration
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.IdentityForCmk
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Image
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageMetadata
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.IndexColumn
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.JobInput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.JobLimits
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.JobOutput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.JobResourceConfiguration
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.JobScheduleAction
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.JobService
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesSchema
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.LakeHouseArtifact
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ListAmlUserFeatureResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ListUsagesResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ListWorkspaceQuotas
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.LiteralJobInput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedComputeIdentity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedNetworkProvisionOptions
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MarketplacePlan
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationComputeResource
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MedianStoppingPolicy
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ModelSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeConfigurationBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeIdentityBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorDefinition
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorEmailNotificationSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureFilterBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringTarget
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringThreshold
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorNotificationSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorServerlessSparkCompute
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Mpi
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NCrossValidations
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalFeaturizationSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Nodes
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NoneDatastoreCredentials
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NotificationSetting
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetricThreshold
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetricThreshold
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetricThreshold
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Objective
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeArtifact
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineScaleSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OperationDisplay
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OperationListResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRule
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRuleListResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResource
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithIdentity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSku
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSkuAndIdentity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PartialRegistryPartialTrackedResource
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Password
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PendingUploadCredentialDto
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PendingUploadRequestDto
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PersonalComputeInstanceSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMetricThresholdBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpoint
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionListResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointOutboundRule
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointResource
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.PyTorch
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.QueueSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPartialManagedServiceIdentity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateLinkServiceConnectionState
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryRegionArmDetails
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryTrackedResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Regression
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RequestLogging
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceId
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceName
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Route
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithm
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SasCredential
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SasCredentialDto
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreCredentials
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreSecrets
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettingsInformation
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleActionBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Seasonality
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessComputeSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointTrackedResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessInferenceEndpoint
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceManagedResourcesSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreSecrets
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagOutboundRule
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SetupScripts
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Sku
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SkuSetting
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobEntry
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobPythonEntry
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobScalaEntry
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SparkResourceConfiguration
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.StorageAccountDetails
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedAcrAccount
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.SystemService
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TargetLags
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSize
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TextNer
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TmpfsOptions
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TopNFeaturesByAttribution
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TriggerBase
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UsageName
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UserAssignedIdentity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UserCreatedAcrAccount
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UserCreatedStorageAccount
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UserIdentity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineImage
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchema
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecrets
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecretsSchema
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.VolumeOptions
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.Webhook
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccessKey
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccountKey
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionApiKey
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionManagedIdentity
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPersonalAccessToken
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionServicePrincipal
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionSharedAccessSignature
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionUsernamePassword
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceHubConfig
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult
toJson(JsonWriter) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters
tokenType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Get the tokenType property: Access token type.
tokenType() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Get the tokenType property: The tokenType property.
tokenType() - Method in interface com.azure.resourcemanager.machinelearning.models.EndpointAuthToken: Gets the tokenType property: Access token type.
tokenType() - Method in interface com.azure.resourcemanager.machinelearning.models.NotebookAccessTokenResult: Gets the tokenType property: The tokenType property.
top() - Method in class com.azure.resourcemanager.machinelearning.models.TopNFeaturesByAttribution: Get the top property: The number of top features to include.
TOP_NBY_ATTRIBUTION - Static variable in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureFilterType: Static value TopNByAttribution for MonitoringFeatureFilterType.
TopNFeaturesByAttribution - Class in com.azure.resourcemanager.machinelearning.models: The TopNFeaturesByAttribution model.
TopNFeaturesByAttribution() - Constructor for class com.azure.resourcemanager.machinelearning.models.TopNFeaturesByAttribution: Creates an instance of TopNFeaturesByAttribution class.
toString() - Method in enum com.azure.resourcemanager.machinelearning.models.SkuTier
traffic() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Get the traffic property: Percentage of traffic from endpoint to divert to each deployment.
trainingBatchSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the trainingBatchSize property: Training batch size.
trainingBatchSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the trainingBatchSize property: Training batch size.
trainingCropSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Get the trainingCropSize property: Image crop size that is input to the neural network for the training dataset.
trainingCropSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Get the trainingCropSize property: Image crop size that is input to the neural network for the training dataset.
trainingData() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Get the trainingData property: [Required] Training data input.
trainingSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the trainingSettings property: Inputs for training phase for an AutoML Job.
trainingSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the trainingSettings property: Inputs for training phase for an AutoML Job.
trainingSettings() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the trainingSettings property: Inputs for training phase for an AutoML Job.
TrainingSettings - Class in com.azure.resourcemanager.machinelearning.models: Training related configuration.
TrainingSettings() - Constructor for class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Creates an instance of TrainingSettings class.
transformerParams() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Get the transformerParams property: User can specify additional transformers to be used along with the columns to which it would be applied and parameters for the transformer constructor.
trial() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Get the trial property: [Required] Trial component definition.
TrialComponent - Class in com.azure.resourcemanager.machinelearning.models: Trial component definition.
TrialComponent() - Constructor for class com.azure.resourcemanager.machinelearning.models.TrialComponent: Creates an instance of TrialComponent class.
trialTimeout() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Get the trialTimeout property: Sweep Job Trial timeout value.
trialTimeout() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Get the trialTimeout property: Iteration timeout.
trigger() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Get the trigger property: [Required] Specifies the trigger details.
TriggerBase - Class in com.azure.resourcemanager.machinelearning.models: The TriggerBase model.
TriggerBase() - Constructor for class com.azure.resourcemanager.machinelearning.models.TriggerBase: Creates an instance of TriggerBase class.
triggerType() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Get the triggerType property: [Required] The schedule trigger type.
triggerType() - Method in class com.azure.resourcemanager.machinelearning.models.CronTrigger: Get the triggerType property: [Required].
triggerType() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Get the triggerType property: [Required].
triggerType() - Method in class com.azure.resourcemanager.machinelearning.models.TriggerBase: Get the triggerType property: [Required].
TriggerType - Class in com.azure.resourcemanager.machinelearning.models: Defines values for TriggerType.
TriggerType() - Constructor for class com.azure.resourcemanager.machinelearning.models.TriggerType: Deprecated.
Use the TriggerType.fromString(String) factory method.
TRITON_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value triton_model for JobInputType.
TRITON_MODEL - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value triton_model for JobOutputType.
TritonModelJobInput - Class in com.azure.resourcemanager.machinelearning.models: The TritonModelJobInput model.
TritonModelJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Creates an instance of TritonModelJobInput class.
TritonModelJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The TritonModelJobOutput model.
TritonModelJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Creates an instance of TritonModelJobOutput class.
TRUNCATION_SELECTION - Static variable in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType: Static value TruncationSelection for EarlyTerminationPolicyType.
truncationPercentage() - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Get the truncationPercentage property: The percentage of runs to cancel at each evaluation interval.
TruncationSelectionPolicy - Class in com.azure.resourcemanager.machinelearning.models: Defines an early termination policy that cancels a given percentage of runs at each evaluation interval.
TruncationSelectionPolicy() - Constructor for class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Creates an instance of TruncationSelectionPolicy class.
TUESDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeWeekDay: Static value Tuesday for ComputeWeekDay.
TUESDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.WeekDay: Static value Tuesday for WeekDay.
TWO_SAMPLE_KOLMOGOROV_SMIRNOV_TEST - Static variable in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetric: Static value TwoSampleKolmogorovSmirnovTest for NumericalDataDriftMetric.
TWO_SAMPLE_KOLMOGOROV_SMIRNOV_TEST - Static variable in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetric: Static value TwoSampleKolmogorovSmirnovTest for NumericalPredictionDriftMetric.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeatureInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetContainerInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityContainerInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityVersionInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.MarketplaceSubscriptionInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OutboundRuleBasicResourceInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the type property: Specifies the resource type.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ScheduleInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the type property: Specifies the resource type.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionPropertiesV2BasicResourceInner: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer: Gets the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariable: Get the type property: Type of the Environment Variable.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.Feature: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion: Gets the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnOutboundRule: Get the type property: Type of a managed network Outbound Rule of a machine learning workspace.
type() - Method in class com.azure.resourcemanager.machinelearning.models.Image: Get the type property: Type of the image.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Gets the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Get the type property: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
type() - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Gets the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRule: Get the type property: Type of a managed network Outbound Rule of a machine learning workspace.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource: Gets the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Get the type property: Managed service identity (system assigned and/or user assigned identities).
type() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Gets the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointOutboundRule: Get the type property: Type of a managed network Outbound Rule of a machine learning workspace.
type() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Get the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Get the type property: Specifies the resource type.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the type property: Specifies the resource type.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Gets the type property: The type of the resource.
type() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagOutboundRule: Get the type property: Type of a managed network Outbound Rule of a machine learning workspace.
type() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Get the type property: Specifies the resource type.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the type property: Specifies the resource type.
type() - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Get the type property: Type of Volume Definition.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the type property: The type of the resource.
type() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource: Gets the type property: The type of the resource.

U

UDP - Static variable in class com.azure.resourcemanager.machinelearning.models.Protocol: Static value udp for Protocol.
udr() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Get the udr property: Setting for diagnosing user defined routing.
UNDEFINED - Static variable in class com.azure.resourcemanager.machinelearning.models.Status: Static value Undefined for Status.
UnderlyingResourceAction - Class in com.azure.resourcemanager.machinelearning.models: Defines values for UnderlyingResourceAction.
UnderlyingResourceAction() - Constructor for class com.azure.resourcemanager.machinelearning.models.UnderlyingResourceAction: Deprecated.
Use the UnderlyingResourceAction.fromString(String) factory method.
unit() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Get the unit property: An enum describing the unit of quota measurement.
unit() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Get the unit property: An enum describing the unit of usage measurement.
unit() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Get the unit property: An enum describing the unit of quota measurement.
unit() - Method in interface com.azure.resourcemanager.machinelearning.models.ResourceQuota: Gets the unit property: An enum describing the unit of quota measurement.
unit() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Get the unit property: An enum describing the unit of quota measurement.
unit() - Method in interface com.azure.resourcemanager.machinelearning.models.Usage: Gets the unit property: An enum describing the unit of usage measurement.
unitOfMeasure() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Get the unitOfMeasure property: The unit of time measurement for the specified VM price.
UnitOfMeasure - Class in com.azure.resourcemanager.machinelearning.models: Unit of time measure The unit of time measurement for the specified VM price.
UnitOfMeasure() - Constructor for class com.azure.resourcemanager.machinelearning.models.UnitOfMeasure: Deprecated.
Use the UnitOfMeasure.fromString(String) factory method.
UNKNOWN - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Unknown for ComputeInstanceState.
UNKNOWN - Static variable in class com.azure.resourcemanager.machinelearning.models.JobStatus: Static value Unknown for JobStatus.
UNKNOWN - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Unknown for ProvisioningState.
UNKNOWN - Static variable in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Static value Unknown for ServerlessEndpointState.
UNMOUNT - Static variable in class com.azure.resourcemanager.machinelearning.models.MountAction: Static value Unmount for MountAction.
UNMOUNT_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value UnmountFailed for MountState.
UNMOUNT_REQUESTED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value UnmountRequested for MountState.
UNMOUNTED - Static variable in class com.azure.resourcemanager.machinelearning.models.MountState: Static value Unmounted for MountState.
UNSUBSCRIBED - Static variable in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionStatus: Static value Unsubscribed for MarketplaceSubscriptionStatus.
UNUSABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value Unusable for ComputeInstanceState.
UNUSABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.NodeState: Static value unusable for NodeState.
unusableNodeCount() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Get the unusableNodeCount property: Number of compute nodes which are in unusable state.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment: Begins update for the BatchDeployment resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint: Begins update for the BatchEndpoint resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer: Begins update for the CodeContainer resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion: Begins update for the CodeVersion resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer: Begins update for the ComponentContainer resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion: Begins update for the ComponentVersion resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource: Begins update for the ComputeResource resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer: Begins update for the DataContainer resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore: Begins update for the Datastore resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase: Begins update for the DataVersionBase resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer: Begins update for the EnvironmentContainer resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion: Begins update for the EnvironmentVersion resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer: Begins update for the FeaturesetContainer resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion: Begins update for the FeaturesetVersion resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer: Begins update for the FeaturestoreEntityContainer resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion: Begins update for the FeaturestoreEntityVersion resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase: Begins update for the JobBase resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription: Begins update for the MarketplaceSubscription resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer: Begins update for the ModelContainer resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion: Begins update for the ModelVersion resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment: Begins update for the OnlineDeployment resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint: Begins update for the OnlineEndpoint resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource: Begins update for the OutboundRuleBasicResource resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection: Begins update for the PrivateEndpointConnection resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.Registry: Begins update for the Registry resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule: Begins update for the Schedule resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint: Begins update for the ServerlessEndpoint resource.
update() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Begins update for the Workspace resource.
update(String, QuotaUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.QuotasClient: Update quota for each VM family in workspace.
update(String, QuotaUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.models.Quotas: Update quota for each VM family in workspace.
update(String, String, PartialRegistryPartialTrackedResource) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Update tags.
update(String, String, WorkspaceUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Updates a machine learning workspace with the specified parameters.
update(String, String, WorkspaceUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.WorkspacesClient: Updates a machine learning workspace with the specified parameters.
update(String, String, String, ClusterUpdateParameters) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Updates properties of a compute.
update(String, String, String, ClusterUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ComputesClient: Updates properties of a compute.
update(String, String, String, PartialMinimalTrackedResourceWithIdentity) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Update a batch inference endpoint (asynchronous).
update(String, String, String, PartialMinimalTrackedResourceWithIdentity) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Update Online Endpoint (asynchronous).
update(String, String, String, PartialMinimalTrackedResourceWithIdentity, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchEndpointsClient: Update a batch inference endpoint (asynchronous).
update(String, String, String, PartialMinimalTrackedResourceWithIdentity, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineEndpointsClient: Update Online Endpoint (asynchronous).
update(String, String, String, PartialMinimalTrackedResourceWithSkuAndIdentity) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Update Serverless Endpoint (asynchronous).
update(String, String, String, PartialMinimalTrackedResourceWithSkuAndIdentity, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.ServerlessEndpointsClient: Update Serverless Endpoint (asynchronous).
update(String, String, String, String, PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Update a batch inference deployment (asynchronous).
update(String, String, String, String, PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.BatchDeploymentsClient: Update a batch inference deployment (asynchronous).
update(String, String, String, String, PartialMinimalTrackedResourceWithSku) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Update Online Deployment (asynchronous).
update(String, String, String, String, PartialMinimalTrackedResourceWithSku, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.OnlineDeploymentsClient: Update Online Deployment (asynchronous).
UPDATED_AT_ASC - Static variable in class com.azure.resourcemanager.machinelearning.models.OrderString: Static value UpdatedAtAsc for OrderString.
UPDATED_AT_DESC - Static variable in class com.azure.resourcemanager.machinelearning.models.OrderString: Static value UpdatedAtDesc for OrderString.
updateWithResponse(String, QuotaUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.QuotasClient: Update quota for each VM family in workspace.
updateWithResponse(String, QuotaUpdateParameters, Context) - Method in interface com.azure.resourcemanager.machinelearning.models.Quotas: Update quota for each VM family in workspace.
updateWithResponse(String, String, PartialRegistryPartialTrackedResource, Context) - Method in interface com.azure.resourcemanager.machinelearning.fluent.RegistriesClient: Update tags.
UpdateWorkspaceQuotas - Class in com.azure.resourcemanager.machinelearning.models: The properties for update Quota response.
UpdateWorkspaceQuotas() - Constructor for class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Creates an instance of UpdateWorkspaceQuotas class.
UpdateWorkspaceQuotasResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of UpdateWorkspaceQuotasResult.
UpdateWorkspaceQuotasResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The result of update workspace quota.
UpdateWorkspaceQuotasResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner: Creates an instance of UpdateWorkspaceQuotasResultInner class.
UPDATING - Static variable in class com.azure.resourcemanager.machinelearning.models.AssetProvisioningState: Static value Updating for AssetProvisioningState.
UPDATING - Static variable in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Static value Updating for DeploymentProvisioningState.
UPDATING - Static variable in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Static value Updating for EndpointProvisioningState.
UPDATING - Static variable in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProvisioningState: Static value Updating for MarketplaceSubscriptionProvisioningState.
UPDATING - Static variable in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Static value Updating for ProvisioningState.
UPDATING - Static variable in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningStatus: Static value Updating for ScheduleProvisioningStatus.
UPLOAD - Static variable in class com.azure.resourcemanager.machinelearning.models.OutputDeliveryMode: Static value Upload for OutputDeliveryMode.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessInferenceEndpoint: Get the uri property: [Required] The inference uri to target when making requests against the Serverless Endpoint.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Get the uri property: Output Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Get the uri property: [Required] Input Asset URI.
uri() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Get the uri property: Output Asset URI.
URI - Static variable in class com.azure.resourcemanager.machinelearning.models.SourceType: Static value URI for SourceType.
URI_FILE - Static variable in class com.azure.resourcemanager.machinelearning.models.DataType: Static value uri_file for DataType.
URI_FILE - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value uri_file for JobInputType.
URI_FILE - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value uri_file for JobOutputType.
URI_FOLDER - Static variable in class com.azure.resourcemanager.machinelearning.models.DataType: Static value uri_folder for DataType.
URI_FOLDER - Static variable in class com.azure.resourcemanager.machinelearning.models.JobInputType: Static value uri_folder for JobInputType.
URI_FOLDER - Static variable in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Static value uri_folder for JobOutputType.
UriFileDataVersion - Class in com.azure.resourcemanager.machinelearning.models: uri-file data version entity.
UriFileDataVersion() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Creates an instance of UriFileDataVersion class.
UriFileJobInput - Class in com.azure.resourcemanager.machinelearning.models: The UriFileJobInput model.
UriFileJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Creates an instance of UriFileJobInput class.
UriFileJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The UriFileJobOutput model.
UriFileJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Creates an instance of UriFileJobOutput class.
UriFolderDataVersion - Class in com.azure.resourcemanager.machinelearning.models: uri-folder data version entity.
UriFolderDataVersion() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Creates an instance of UriFolderDataVersion class.
UriFolderJobInput - Class in com.azure.resourcemanager.machinelearning.models: The UriFolderJobInput model.
UriFolderJobInput() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Creates an instance of UriFolderJobInput class.
UriFolderJobOutput - Class in com.azure.resourcemanager.machinelearning.models: The UriFolderJobOutput model.
UriFolderJobOutput() - Constructor for class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Creates an instance of UriFolderJobOutput class.
Usage - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of Usage.
UsageInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: Describes AML Resource Usage.
UsageInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Creates an instance of UsageInner class.
UsageName - Class in com.azure.resourcemanager.machinelearning.models: The Usage Names.
UsageName() - Constructor for class com.azure.resourcemanager.machinelearning.models.UsageName: Creates an instance of UsageName class.
usages() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Usages.
Usages - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Usages.
UsagesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in UsagesClient.
UsageUnit - Class in com.azure.resourcemanager.machinelearning.models: An enum describing the unit of usage measurement.
UsageUnit() - Constructor for class com.azure.resourcemanager.machinelearning.models.UsageUnit: Deprecated.
Use the UsageUnit.fromString(String) factory method.
USD - Static variable in class com.azure.resourcemanager.machinelearning.models.BillingCurrency: Static value USD for BillingCurrency.
USER - Static variable in class com.azure.resourcemanager.machinelearning.models.OperationTrigger: Static value User for OperationTrigger.
USER - Static variable in class com.azure.resourcemanager.machinelearning.models.Origin: Static value user for Origin.
USER_ASSIGNED - Static variable in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Static value UserAssigned for ManagedServiceIdentityType.
USER_CREATED - Static variable in class com.azure.resourcemanager.machinelearning.models.EnvironmentType: Static value UserCreated for EnvironmentType.
USER_DEFINED - Static variable in class com.azure.resourcemanager.machinelearning.models.RuleCategory: Static value UserDefined for RuleCategory.
USER_IDENTITY - Static variable in class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType: Static value UserIdentity for IdentityConfigurationType.
USER_SETTING_UP - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value UserSettingUp for ComputeInstanceState.
USER_SETUP_FAILED - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Static value UserSetupFailed for ComputeInstanceState.
USER_SYSTEM - Static variable in class com.azure.resourcemanager.machinelearning.models.Origin: Static value user,system for Origin.
userAccountCredentials() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the userAccountCredentials property: Credentials for an administrator user account that will be created on each compute node.
UserAccountCredentials - Class in com.azure.resourcemanager.machinelearning.models: Settings for user account that gets created on each on the nodes of a compute.
UserAccountCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Creates an instance of UserAccountCredentials class.
userAssignedIdentities() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Get the userAssignedIdentities property: The set of user assigned identities associated with the resource.
userAssignedIdentities() - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Get the userAssignedIdentities property: The set of user assigned identities associated with the resource.
userAssignedIdentity() - Method in class com.azure.resourcemanager.machinelearning.models.IdentityForCmk: Get the userAssignedIdentity property: The ArmId of the user assigned identity that will be used to access the customer managed key vault.
UserAssignedIdentity - Class in com.azure.resourcemanager.machinelearning.models: User assigned identity properties.
UserAssignedIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.UserAssignedIdentity: Creates an instance of UserAssignedIdentity class.
userCreatedAcrAccount() - Method in class com.azure.resourcemanager.machinelearning.models.AcrDetails: Get the userCreatedAcrAccount property: Details of user created ACR account to be used for the Registry.
UserCreatedAcrAccount - Class in com.azure.resourcemanager.machinelearning.models: The UserCreatedAcrAccount model.
UserCreatedAcrAccount() - Constructor for class com.azure.resourcemanager.machinelearning.models.UserCreatedAcrAccount: Creates an instance of UserCreatedAcrAccount class.
userCreatedStorageAccount() - Method in class com.azure.resourcemanager.machinelearning.models.StorageAccountDetails: Get the userCreatedStorageAccount property: Details of user created storage account to be used for the registry.
UserCreatedStorageAccount - Class in com.azure.resourcemanager.machinelearning.models: The UserCreatedStorageAccount model.
UserCreatedStorageAccount() - Constructor for class com.azure.resourcemanager.machinelearning.models.UserCreatedStorageAccount: Creates an instance of UserCreatedStorageAccount class.
userDefinedRouteResults() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Get the userDefinedRouteResults property: The userDefinedRouteResults property.
userId() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy: Get the userId property: Uniquely identifies the user within his/her organization.
UserIdentity - Class in com.azure.resourcemanager.machinelearning.models: User identity configuration.
UserIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.UserIdentity: Creates an instance of UserIdentity class.
userKubeConfig() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Get the userKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
userKubeConfig() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Get the userKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
userManagedIdentityClientId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Get the userManagedIdentityClientId property: ClientId for the UAMI.
userManagedIdentityPrincipalId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Get the userManagedIdentityPrincipalId property: PrincipalId for the UAMI.
userManagedIdentityResourceId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Get the userManagedIdentityResourceId property: Full arm scope for the Id.
userManagedIdentityTenantId() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Get the userManagedIdentityTenantId property: TenantId for the UAMI.
username() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy: Get the username property: Name of the user.
username() - Method in class com.azure.resourcemanager.machinelearning.models.DockerCredential: Get the username property: DockerCredential user name.
username() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Get the username property: The username property.
username() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Get the username property: Username of admin account.
username() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Get the username property: Concur, ServiceNow auth server AccessToken grant type is 'Password' which requires UsernamePassword.
username() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionUsernamePassword: Get the username property: The username property.
USERNAME_PASSWORD - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Static value UsernamePassword for ConnectionAuthType.
UsernamePasswordAuthTypeWorkspaceConnectionProperties - Class in com.azure.resourcemanager.machinelearning.models: The UsernamePasswordAuthTypeWorkspaceConnectionProperties model.
UsernamePasswordAuthTypeWorkspaceConnectionProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Creates an instance of UsernamePasswordAuthTypeWorkspaceConnectionProperties class.
userOrgId() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy: Get the userOrgId property: Uniquely identifies user' Azure Active Directory organization.
userStorageKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListStorageAccountKeysResultInner: Get the userStorageKey property: The userStorageKey property.
userStorageKey() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Get the userStorageKey property: The userStorageKey property.
userStorageKey() - Method in interface com.azure.resourcemanager.machinelearning.models.ListStorageAccountKeysResult: Gets the userStorageKey property: The userStorageKey property.
userStorageKey() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the userStorageKey property: The userStorageKey property.
userStorageResourceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Get the userStorageResourceId property: The userStorageResourceId property.
userStorageResourceId() - Method in interface com.azure.resourcemanager.machinelearning.models.ListWorkspaceKeysResult: Gets the userStorageResourceId property: The userStorageResourceId property.
useStl() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Get the useStl property: Configure STL Decomposition of the time-series target column.
UseStl - Class in com.azure.resourcemanager.machinelearning.models: Configure STL Decomposition of the time-series target column.
UseStl() - Constructor for class com.azure.resourcemanager.machinelearning.models.UseStl: Deprecated.
Use the UseStl.fromString(String) factory method.

V

v1LegacyMode() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API.
v1LegacyMode() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API.
v1LegacyMode() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Get the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API.
v1LegacyMode() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API.
v1LegacyMode() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API.
v1LegacyMode() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspacePropertiesUpdateParameters: Gets the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API.
v1LegacyMode() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Get the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ClusterUpdateProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeSecretsInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreSecretsInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeatureInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetContainerInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionBackfillResponseInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityContainerInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityVersionInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.GetBlobReferenceSasResponseDtoInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListNotebookKeysResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListStorageAccountKeysResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ListWorkspaceKeysResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkProvisionStatusInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.MarketplaceSubscriptionInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookAccessTokenResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OperationInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OutboundRuleBasicResourceInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PendingUploadResponseDtoInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ResourceQuotaInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ScheduleInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UsageInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionPropertiesV2BasicResourceInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AcrDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AllFeatures: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AllNodes: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodeInformation: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeNodesInformation: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlToken: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AmlTokenComputeIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AnonymousAccessCredential: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ArmResourceId: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssetReferenceBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AssignedUser: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoForecastHorizon: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoNCrossValidations: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoSeasonality: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoTargetLags: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AutoTargetRollingWindowSize: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDatastore: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDevOpsWebhook: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDefaults: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BayesianSamplingAlgorithm: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BindOptions: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BlobReferenceForConsumptionDto: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.BuildContext: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetricThreshold: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetricThreshold: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetricThreshold: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ClusterUpdateParameters: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Collection: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CommandJobLimits: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceConnectivityEndpoints: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceCreatedBy: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceVersion: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeResourceSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRuntimeDto: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeSchedules: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ContentSafety: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CosmosDbSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CreateMonitorAction: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Cron: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CronTrigger: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomForecastHorizon: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeys: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomMetricThreshold: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomNCrossValidations: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomSeasonality: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetLags: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetRollingWindowSize: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecretsProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataCollector: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMetricThresholdBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchemaProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMetricThresholdBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataReferenceCredential: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DefaultScaleSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentResourceConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DestinationAsset: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseWorkspaceParameters: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DistributionConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Docker: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.DockerCredential: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultUpdateProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionUpdateProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EndpointScheduleAction: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariable: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetricThreshold: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureImportanceSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetSpecification: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureStoreSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureSubset: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureWindow: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturizationSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FixedInputData: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FlavorData: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastHorizon: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointDetail: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoints: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.FqdnOutboundRule: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceForConsumptionDto: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceSasRequestDto: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.GridSamplingAlgorithm: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.IdAssetReference: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.IdentityConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.IdentityForCmk: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Image: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageMetadata: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.IndexColumn: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobLimits: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobResourceConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobScheduleAction: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.LakeHouseArtifact: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ListAmlUserFeatureResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ListUsagesResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ListWorkspaceQuotas: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.LiteralJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedComputeIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedNetworkProvisionOptions: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplacePlan: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationComputeResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MedianStoppingPolicy: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ModelSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeConfigurationBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeIdentityBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorDefinition: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorEmailNotificationSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureFilterBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringTarget: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringThreshold: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorNotificationSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.MonitorServerlessSparkCompute: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Mpi: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NCrossValidations: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalFeaturizationSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Nodes: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NodeStateCounts: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NoneDatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NotificationSetting: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetricThreshold: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetricThreshold: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetricThreshold: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Objective: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeArtifact: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineScaleSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OperationDisplay: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OperationListResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRule: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRuleListResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSku: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSkuAndIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialRegistryPartialTrackedResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Password: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PendingUploadCredentialDto: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PendingUploadRequestDto: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PersonalComputeInstanceSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMetricThresholdBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpoint: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionListResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointOutboundRule: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.PyTorch: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.QueueSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPartialManagedServiceIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateLinkServiceConnectionState: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryRegionArmDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryTrackedResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RequestLogging: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceId: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceName: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Route: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithm: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SasCredential: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SasCredentialDto: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettingsInformation: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleActionBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Seasonality: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessComputeSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointTrackedResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessInferenceEndpoint: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceManagedResourcesSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagOutboundRule: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SetupScripts: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SkuSetting: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobEntry: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobPythonEntry: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobScalaEntry: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SparkResourceConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.StorageAccountDetails: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedAcrAccount: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.SystemService: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TargetLags: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSize: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TmpfsOptions: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TopNFeaturesByAttribution: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TriggerBase: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UsageName: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UserAssignedIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UserCreatedAcrAccount: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UserCreatedStorageAccount: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UserIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineImage: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecrets: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecretsSchema: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.VolumeOptions: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.Webhook: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccessKey: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccountKey: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionApiKey: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionManagedIdentity: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPersonalAccessToken: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionServicePrincipal: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionSharedAccessSignature: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionUsernamePassword: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceHubConfig: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Validates the instance.
validate() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Validates the instance.
validationBatchSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the validationBatchSize property: Validation batch size.
validationBatchSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the validationBatchSize property: Validation batch size.
validationCropSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Get the validationCropSize property: Image crop size that is input to the neural network for the validation dataset.
validationCropSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Get the validationCropSize property: Image crop size that is input to the neural network for the validation dataset.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Get the validationData property: Validation data inputs.
validationData() - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Get the validationData property: Validation data inputs.
validationDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
validationDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
validationDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Get the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
validationDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Get the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
validationDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Get the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
validationDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Get the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
validationDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Get the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
validationDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
validationDataSize() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
validationIouThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the validationIouThreshold property: IOU threshold to use when computing validation metric.
validationIouThreshold() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the validationIouThreshold property: IOU threshold to use when computing validation metric.
validationMetricType() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Get the validationMetricType property: Metric computation method to use for validation metrics.
validationMetricType() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Get the validationMetricType property: Metric computation method to use for validation metrics.
ValidationMetricType - Class in com.azure.resourcemanager.machinelearning.models: Metric computation method to use for validation metrics in image tasks.
ValidationMetricType() - Constructor for class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Deprecated.
Use the ValidationMetricType.fromString(String) factory method.
validationResizeSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Get the validationResizeSize property: Image size to which to resize before cropping for validation dataset.
validationResizeSize() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Get the validationResizeSize property: Image size to which to resize before cropping for validation dataset.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner: Get the value property: The value property.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner: Get the value property: The value property.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner: Get the value property: Array of private link resources.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.UpdateWorkspaceQuotasResultInner: Get the value property: The list of workspace quota update result.
value() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner: Get the value property: The list of virtual machine sizes supported by AmlCompute.
value() - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Get the value property: An array of objects of type BatchDeployment.
value() - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Get the value property: An array of objects of type BatchEndpoint.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Get the value property: An array of objects of type CodeContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Get the value property: An array of objects of type CodeVersion.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Get the value property: An array of objects of type ComponentContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Get the value property: An array of objects of type ComponentVersion.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CustomForecastHorizon: Get the value property: [Required] Forecast horizon value.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CustomNCrossValidations: Get the value property: [Required] N-Cross validations value.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CustomSeasonality: Get the value property: [Required] Seasonality value.
value() - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetRollingWindowSize: Get the value property: [Required] TargetRollingWindowSize value.
value() - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Get the value property: An array of objects of type DataContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Get the value property: An array of objects of type Datastore.
value() - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Get the value property: An array of objects of type DataVersionBase.
value() - Method in interface com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResult: Gets the value property: The value property.
value() - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseWorkspaceParameters: Get the value property: Value of Parameters.
value() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Get the value property: An array of objects of type EnvironmentContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariable: Get the value property: Value of the Environment variable.
value() - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Get the value property: An array of objects of type EnvironmentVersion.
value() - Method in interface com.azure.resourcemanager.machinelearning.models.ExternalFqdnResponse: Gets the value property: The value property.
value() - Method in class com.azure.resourcemanager.machinelearning.models.FeatureResourceArmPaginatedResult: Get the value property: An array of objects of type Feature.
value() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerResourceArmPaginatedResult: Get the value property: An array of objects of type FeaturesetContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionResourceArmPaginatedResult: Get the value property: An array of objects of type FeaturesetVersion.
value() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerResourceArmPaginatedResult: Get the value property: An array of objects of type FeaturestoreEntityContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionResourceArmPaginatedResult: Get the value property: An array of objects of type FeaturestoreEntityVersion.
value() - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Get the value property: An array of objects of type JobBase.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ListAmlUserFeatureResult: Get the value property: The list of AML user facing features.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ListUsagesResult: Get the value property: The list of AML resource usages.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ListWorkspaceQuotas: Get the value property: The list of Workspace Quotas by VM Family.
value() - Method in class com.azure.resourcemanager.machinelearning.models.LiteralJobInput: Get the value property: [Required] Literal value for the input.
value() - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionResourceArmPaginatedResult: Get the value property: An array of objects of type MarketplaceSubscription.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Get the value property: An array of objects of type ModelContainer.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Get the value property: An array of objects of type ModelVersion.
value() - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringThreshold: Get the value property: The threshold value.
value() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Get the value property: An array of objects of type OnlineDeployment.
value() - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Get the value property: An array of objects of type OnlineEndpoint.
value() - Method in class com.azure.resourcemanager.machinelearning.models.OperationListResult: Get the value property: List of operations supported by the resource provider.
value() - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRuleListResult: Get the value property: The list of machine learning workspaces.
value() - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Get the value property: An array of Machine Learning compute objects wrapped in ARM resource envelope.
value() - Method in class com.azure.resourcemanager.machinelearning.models.Password: Get the value property: The value property.
value() - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionListResult: Get the value property: Array of private endpoint connections.
value() - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateLinkResourceListResult: Gets the value property: Array of private link resources.
value() - Method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Get the value property: The list for update quota.
value() - Method in class com.azure.resourcemanager.machinelearning.models.RegistryTrackedResourceArmPaginatedResult: Get the value property: An array of objects of type Registry.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ResourceName: Get the value property: The name of the resource.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleResourceArmPaginatedResult: Get the value property: An array of objects of type Schedule.
value() - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointTrackedResourceArmPaginatedResult: Get the value property: An array of objects of type ServerlessEndpoint.
value() - Method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Get the value property: An array of objects of type SkuResource.
value() - Method in interface com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotasResult: Gets the value property: The list of workspace quota update result.
value() - Method in class com.azure.resourcemanager.machinelearning.models.UsageName: Get the value property: The name of the resource.
value() - Method in interface com.azure.resourcemanager.machinelearning.models.VirtualMachineSizeListResult: Gets the value property: The list of virtual machine sizes supported by AmlCompute.
value() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Get the value property: Value details of the workspace connection.
value() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult: Get the value property: The value property.
value() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Get the value property: The list of machine learning workspaces.
valueFormat() - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Get the valueFormat property: format for the workspace connection value.
ValueFormat - Class in com.azure.resourcemanager.machinelearning.models: format for the workspace connection value.
ValueFormat() - Constructor for class com.azure.resourcemanager.machinelearning.models.ValueFormat: Deprecated.
Use the ValueFormat.fromString(String) factory method.
valueOf(String) - Static method in enum com.azure.resourcemanager.machinelearning.models.SkuTier: Returns the enum constant of this type with the specified name.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ActionType: Gets known ActionType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.AllocationState: Gets known AllocationState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ApplicationSharingPolicy: Gets known ApplicationSharingPolicy values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.AssetProvisioningState: Gets known AssetProvisioningState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.AutoRebuildSetting: Gets known AutoRebuildSetting values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Autosave: Gets known Autosave values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentConfigurationType: Gets known BatchDeploymentConfigurationType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel: Gets known BatchLoggingLevel values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.BatchOutputAction: Gets known BatchOutputAction values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.BillingCurrency: Gets known BillingCurrency values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Gets known BlockedTransformers values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Caching: Gets known Caching values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetric: Gets known CategoricalDataDriftMetric values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetric: Gets known CategoricalDataQualityMetric values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetric: Gets known CategoricalPredictionDriftMetric values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Gets known ClassificationModels values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationMultilabelPrimaryMetrics: Gets known ClassificationMultilabelPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ClassificationPrimaryMetrics: Gets known ClassificationPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ClusterPurpose: Gets known ClusterPurpose values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceAuthorizationType: Gets known ComputeInstanceAuthorizationType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceState: Gets known ComputeInstanceState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ComputePowerAction: Gets known ComputePowerAction values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceFrequency: Gets known ComputeRecurrenceFrequency values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeTriggerType: Gets known ComputeTriggerType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeType: Gets known ComputeType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ComputeWeekDay: Gets known ComputeWeekDay values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ConnectionAuthType: Gets known ConnectionAuthType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Gets known ConnectionCategory values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ConnectionGroup: Gets known ConnectionGroup values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ContainerType: Gets known ContainerType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ContentSafetyStatus: Gets known ContentSafetyStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.CredentialsType: Gets known CredentialsType values.
values() - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetLags: Get the values property: [Required] Set target lags values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DataAvailabilityStatus: Gets known DataAvailabilityStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DataCollectionMode: Gets known DataCollectionMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DataReferenceCredentialType: Gets known DataReferenceCredentialType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DatastoreType: Gets known DatastoreType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DataType: Gets known DataType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DeploymentProvisioningState: Gets known DeploymentProvisioningState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel: Gets known DiagnoseResultLevel values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.DistributionType: Gets known DistributionType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicyType: Gets known EarlyTerminationPolicyType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EgressPublicNetworkAccessType: Gets known EgressPublicNetworkAccessType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EmailNotificationEnableType: Gets known EmailNotificationEnableType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EncryptionStatus: Gets known EncryptionStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointAuthMode: Gets known EndpointAuthMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointComputeType: Gets known EndpointComputeType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointProvisioningState: Gets known EndpointProvisioningState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EndpointServiceConnectionStatus: Gets known EndpointServiceConnectionStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EnvironmentType: Gets known EnvironmentType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariableType: Gets known EnvironmentVariableType values.
values() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Get the values property: The list of estimated prices for using a VM of a particular OS type, tier, etc.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetric: Gets known FeatureAttributionMetric values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureDataType: Gets known FeatureDataType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureImportanceMode: Gets known FeatureImportanceMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.FeatureLags: Gets known FeatureLags values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.FeaturizationMode: Gets known FeaturizationMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastHorizonMode: Gets known ForecastHorizonMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Gets known ForecastingModels values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ForecastingPrimaryMetrics: Gets known ForecastingPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Goal: Gets known Goal values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.IdentityConfigurationType: Gets known IdentityConfigurationType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ImageType: Gets known ImageType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.InputDeliveryMode: Gets known InputDeliveryMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.InstanceSegmentationPrimaryMetrics: Gets known InstanceSegmentationPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.IsolationMode: Gets known IsolationMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.JobInputType: Gets known JobInputType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.JobLimitsType: Gets known JobLimitsType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.JobOutputType: Gets known JobOutputType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.JobStatus: Gets known JobStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.JobTier: Gets known JobTier values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.JobType: Gets known JobType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.KeyType: Gets known KeyType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler: Gets known LearningRateScheduler values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ListViewType: Gets known ListViewType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.LoadBalancerType: Gets known LoadBalancerType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Gets known LogVerbosity values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedNetworkStatus: Gets known ManagedNetworkStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentityType: Gets known ManagedServiceIdentityType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProvisioningState: Gets known MarketplaceSubscriptionProvisioningState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionStatus: Gets known MarketplaceSubscriptionStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MaterializationStoreType: Gets known MaterializationStoreType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ModelSize: Gets known ModelSize values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ModelTaskType: Gets known ModelTaskType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeIdentityType: Gets known MonitorComputeIdentityType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MonitorComputeType: Gets known MonitorComputeType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureDataType: Gets known MonitoringFeatureDataType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringFeatureFilterType: Gets known MonitoringFeatureFilterType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataType: Gets known MonitoringInputDataType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringNotificationType: Gets known MonitoringNotificationType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalType: Gets known MonitoringSignalType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MountAction: Gets known MountAction values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.MountState: Gets known MountState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.NCrossValidationsMode: Gets known NCrossValidationsMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Network: Gets known Network values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.NodeState: Gets known NodeState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.NodesValueType: Gets known NodesValueType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetric: Gets known NumericalDataDriftMetric values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetric: Gets known NumericalDataQualityMetric values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetric: Gets known NumericalPredictionDriftMetric values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ObjectDetectionPrimaryMetrics: Gets known ObjectDetectionPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OneLakeArtifactType: Gets known OneLakeArtifactType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OperatingSystemType: Gets known OperatingSystemType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OperationName: Gets known OperationName values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OperationStatus: Gets known OperationStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OperationTrigger: Gets known OperationTrigger values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OrderString: Gets known OrderString values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Origin: Gets known Origin values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OsType: Gets known OsType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.OutputDeliveryMode: Gets known OutputDeliveryMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.PendingUploadCredentialType: Gets known PendingUploadCredentialType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.PendingUploadType: Gets known PendingUploadType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionProvisioningState: Gets known PrivateEndpointConnectionProvisioningState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointServiceConnectionStatus: Gets known PrivateEndpointServiceConnectionStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Protocol: Gets known Protocol values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ProvisioningState: Gets known ProvisioningState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ProvisioningStatus: Gets known ProvisioningStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccess: Gets known PublicNetworkAccess values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.PublicNetworkAccessType: Gets known PublicNetworkAccessType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.QuotaUnit: Gets known QuotaUnit values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithmRule: Gets known RandomSamplingAlgorithmRule values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Gets known RecurrenceFrequency values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ReferenceType: Gets known ReferenceType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Gets known RegressionModels values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics: Gets known RegressionPrimaryMetrics values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RemoteLoginPortPublicAccess: Gets known RemoteLoginPortPublicAccess values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RollingRateType: Gets known RollingRateType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RuleAction: Gets known RuleAction values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RuleCategory: Gets known RuleCategory values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RuleStatus: Gets known RuleStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.RuleType: Gets known RuleType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SamplingAlgorithmType: Gets known SamplingAlgorithmType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ScaleType: Gets known ScaleType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleActionType: Gets known ScheduleActionType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleListViewType: Gets known ScheduleListViewType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningState: Gets known ScheduleProvisioningState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleProvisioningStatus: Gets known ScheduleProvisioningStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ScheduleStatus: Gets known ScheduleStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SeasonalityMode: Gets known SeasonalityMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SecretsType: Gets known SecretsType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointState: Gets known ServerlessEndpointState values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ServerlessInferenceEndpointAuthMode: Gets known ServerlessInferenceEndpointAuthMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity: Gets known ServiceDataAccessAuthIdentity values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ShortSeriesHandlingConfiguration: Gets known ShortSeriesHandlingConfiguration values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SkuScaleType: Gets known SkuScaleType values.
values() - Static method in enum com.azure.resourcemanager.machinelearning.models.SkuTier: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SourceType: Gets known SourceType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SparkJobEntryType: Gets known SparkJobEntryType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SshPublicAccess: Gets known SshPublicAccess values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.SslConfigStatus: Gets known SslConfigStatus values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.StackMetaLearnerType: Gets known StackMetaLearnerType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.Status: Gets known Status values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.StochasticOptimizer: Gets known StochasticOptimizer values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.StorageAccountType: Gets known StorageAccountType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.TargetAggregationFunction: Gets known TargetAggregationFunction values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.TargetLagsMode: Gets known TargetLagsMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.TargetRollingWindowSizeMode: Gets known TargetRollingWindowSizeMode values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.TaskType: Gets known TaskType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.TriggerType: Gets known TriggerType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.UnderlyingResourceAction: Gets known UnderlyingResourceAction values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.UnitOfMeasure: Gets known UnitOfMeasure values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.UsageUnit: Gets known UsageUnit values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.UseStl: Gets known UseStl values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Gets known ValidationMetricType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.ValueFormat: Gets known ValueFormat values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.VMPriceOSType: Gets known VMPriceOSType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.VmPriority: Gets known VmPriority values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.VMTier: Gets known VMTier values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinitionType: Gets known VolumeDefinitionType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.WebhookType: Gets known WebhookType values.
values() - Static method in class com.azure.resourcemanager.machinelearning.models.WeekDay: Gets known WeekDay values.
vcName() - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Get the vcName property: VC name.
vCPUs() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Get the vCPUs property: The number of vCPUs supported by the virtual machine size.
version() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Get the version property: version of environment.
version() - Method in class com.azure.resourcemanager.machinelearning.models.SystemService: Get the version property: The version for this type.
versions() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the versions property: ComputeInstance version.
VERTICA - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Vertica for ConnectionCategory.
VIRTUAL_MACHINE - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeType: Static value VirtualMachine for ComputeType.
VirtualMachine - Class in com.azure.resourcemanager.machinelearning.models: A Machine Learning compute based on Azure Virtual Machines.
VirtualMachine() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Creates an instance of VirtualMachine class.
virtualMachineImage() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the virtualMachineImage property: Virtual Machine image for AML Compute - windows only.
VirtualMachineImage - Class in com.azure.resourcemanager.machinelearning.models: Virtual Machine image for Windows AML Compute.
VirtualMachineImage() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineImage: Creates an instance of VirtualMachineImage class.
VirtualMachineSchema - Class in com.azure.resourcemanager.machinelearning.models: The VirtualMachineSchema model.
VirtualMachineSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchema: Creates an instance of VirtualMachineSchema class.
VirtualMachineSchemaProperties - Class in com.azure.resourcemanager.machinelearning.models: The VirtualMachineSchemaProperties model.
VirtualMachineSchemaProperties() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Creates an instance of VirtualMachineSchemaProperties class.
VirtualMachineSecrets - Class in com.azure.resourcemanager.machinelearning.models: Secrets related to a Machine Learning compute based on AKS.
VirtualMachineSecrets() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecrets: Creates an instance of VirtualMachineSecrets class.
VirtualMachineSecretsSchema - Class in com.azure.resourcemanager.machinelearning.models: The VirtualMachineSecretsSchema model.
VirtualMachineSecretsSchema() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecretsSchema: Creates an instance of VirtualMachineSecretsSchema class.
virtualMachineSize() - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Get the virtualMachineSize property: Virtual Machine size.
VirtualMachineSize - Class in com.azure.resourcemanager.machinelearning.models: Describes the properties of a VM size.
VirtualMachineSize() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Creates an instance of VirtualMachineSize class.
VirtualMachineSizeListResult - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of VirtualMachineSizeListResult.
VirtualMachineSizeListResultInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The List Virtual Machine size operation response.
VirtualMachineSizeListResultInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner: Creates an instance of VirtualMachineSizeListResultInner class.
virtualMachineSizes() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of VirtualMachineSizes.
VirtualMachineSizes - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of VirtualMachineSizes.
VirtualMachineSizesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in VirtualMachineSizesClient.
VirtualMachineSshCredentials - Class in com.azure.resourcemanager.machinelearning.models: Admin credentials for virtual machine.
VirtualMachineSshCredentials() - Constructor for class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Creates an instance of VirtualMachineSshCredentials class.
VMPriceOSType - Class in com.azure.resourcemanager.machinelearning.models: OS type Operating system type used by the VM.
VMPriceOSType() - Constructor for class com.azure.resourcemanager.machinelearning.models.VMPriceOSType: Deprecated.
Use the VMPriceOSType.fromString(String) factory method.
vmPriority() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the vmPriority property: Virtual Machine priority.
VmPriority - Class in com.azure.resourcemanager.machinelearning.models: Virtual Machine priority.
VmPriority() - Constructor for class com.azure.resourcemanager.machinelearning.models.VmPriority: Deprecated.
Use the VmPriority.fromString(String) factory method.
vmSize() - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Get the vmSize property: Virtual Machine Size.
vmSize() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Get the vmSize property: Virtual Machine Size.
vmTier() - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Get the vmTier property: The type of the VM.
VMTier - Class in com.azure.resourcemanager.machinelearning.models: VM tier The type of the VM.
VMTier() - Constructor for class com.azure.resourcemanager.machinelearning.models.VMTier: Deprecated.
Use the VMTier.fromString(String) factory method.
VOC - Static variable in class com.azure.resourcemanager.machinelearning.models.ValidationMetricType: Static value Voc for ValidationMetricType.
volume() - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Get the volume property: Volume Options of the mount.
VOLUME - Static variable in class com.azure.resourcemanager.machinelearning.models.VolumeDefinitionType: Static value volume for VolumeDefinitionType.
VolumeDefinition - Class in com.azure.resourcemanager.machinelearning.models: Describes the volume configuration for the container.
VolumeDefinition() - Constructor for class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Creates an instance of VolumeDefinition class.
VolumeDefinitionType - Class in com.azure.resourcemanager.machinelearning.models: Type of Volume Definition Type of Volume Definition.
VolumeDefinitionType() - Constructor for class com.azure.resourcemanager.machinelearning.models.VolumeDefinitionType: Deprecated.
Use the VolumeDefinitionType.fromString(String) factory method.
VolumeOptions - Class in com.azure.resourcemanager.machinelearning.models: Describes the volume options for the container.
VolumeOptions() - Constructor for class com.azure.resourcemanager.machinelearning.models.VolumeOptions: Creates an instance of VolumeOptions class.
volumes() - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Get the volumes property: Configuring the volumes for the container.

W

WARMUP_COSINE - Static variable in class com.azure.resourcemanager.machinelearning.models.LearningRateScheduler: Static value WarmupCosine for LearningRateScheduler.
warmupCosineLRCycles() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
warmupCosineLRCycles() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
warmupCosineLRWarmupEpochs() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
warmupCosineLRWarmupEpochs() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
WARNING - Static variable in class com.azure.resourcemanager.machinelearning.models.BatchLoggingLevel: Static value Warning for BatchLoggingLevel.
WARNING - Static variable in class com.azure.resourcemanager.machinelearning.models.DiagnoseResultLevel: Static value Warning for DiagnoseResultLevel.
WARNING - Static variable in class com.azure.resourcemanager.machinelearning.models.LogVerbosity: Static value Warning for LogVerbosity.
WEB_TABLE - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value WebTable for ConnectionCategory.
Webhook - Class in com.azure.resourcemanager.machinelearning.models: Webhook base.
Webhook() - Constructor for class com.azure.resourcemanager.machinelearning.models.Webhook: Creates an instance of Webhook class.
webhooks() - Method in class com.azure.resourcemanager.machinelearning.models.NotificationSetting: Get the webhooks property: Send webhook callback to a service.
webhookType() - Method in class com.azure.resourcemanager.machinelearning.models.AzureDevOpsWebhook: Get the webhookType property: [Required] Specifies the type of service to send a callback.
webhookType() - Method in class com.azure.resourcemanager.machinelearning.models.Webhook: Get the webhookType property: [Required] Specifies the type of service to send a callback.
WebhookType - Class in com.azure.resourcemanager.machinelearning.models: Enum to determine the webhook callback service type.
WebhookType() - Constructor for class com.azure.resourcemanager.machinelearning.models.WebhookType: Deprecated.
Use the WebhookType.fromString(String) factory method.
WEDNESDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeWeekDay: Static value Wednesday for ComputeWeekDay.
WEDNESDAY - Static variable in class com.azure.resourcemanager.machinelearning.models.WeekDay: Static value Wednesday for WeekDay.
WEEK - Static variable in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceFrequency: Static value Week for ComputeRecurrenceFrequency.
WEEK - Static variable in class com.azure.resourcemanager.machinelearning.models.RecurrenceFrequency: Static value Week for RecurrenceFrequency.
WeekDay - Class in com.azure.resourcemanager.machinelearning.models: Enum of weekday.
WeekDay() - Constructor for class com.azure.resourcemanager.machinelearning.models.WeekDay: Deprecated.
Use the WeekDay.fromString(String) factory method.
weekDays() - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule: Get the weekDays property: List of days for the schedule.
weekDays() - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Get the weekDays property: List of days for the schedule.
weightColumnName() - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Get the weightColumnName property: The name of the sample weight column.
weightColumnName() - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Get the weightColumnName property: The name of the sample weight column.
weightColumnName() - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Get the weightColumnName property: The name of the sample weight column.
weightColumnName() - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Get the weightColumnName property: The name of the sample weight column.
weightDecay() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Get the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
weightDecay() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Get the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
weightedLoss() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Get the weightedLoss property: Weighted loss.
weightedLoss() - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Get the weightedLoss property: Weighted loss.
windowEnd() - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Get the windowEnd property: [Required] The end date of the data window.
windowOffset() - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Get the windowOffset property: [Required] The time offset between the end of the data window and the monitor's current run time.
WINDOWS - Static variable in class com.azure.resourcemanager.machinelearning.models.OperatingSystemType: Static value Windows for OperatingSystemType.
WINDOWS - Static variable in class com.azure.resourcemanager.machinelearning.models.OsType: Static value Windows for OsType.
WINDOWS - Static variable in class com.azure.resourcemanager.machinelearning.models.VMPriceOSType: Static value Windows for VMPriceOSType.
windowSize() - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Get the windowSize property: [Required] The size of the rolling data window.
windowStart() - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Get the windowStart property: [Required] The start date of the data window.
withAccessKeyId(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccessKey: Set the accessKeyId property: The accessKeyId property.
withAccessToken(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Set the accessToken property: Access token for endpoint authentication.
withAccountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the accountName property: Storage account name.
withAccountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the accountName property: [Required] Storage account name.
withAccountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the accountName property: [Required] Storage account name.
withAcrAccountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedAcrAccount: Set the acrAccountName property: Name of the ACR account.
withAcrAccountSku(String) - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedAcrAccount: Set the acrAccountSku property: SKU of the ACR account.
withAcrDetails(List<AcrDetails>) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryRegionArmDetails: Set the acrDetails property: List of ACR accounts.
withAction(ComputePowerAction) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Set the action property: [Required] The compute power action.
withAction(RuleAction) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Set the action property: The action enum for networking rule.
withAction(ScheduleActionBase) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Set the action property: [Required] Specifies the action of the schedule.
withActionsRequired(String) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Set the actionsRequired property: A message indicating if changes on the service provider require any updates on the consumer.
withActionsRequired(String) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateLinkServiceConnectionState: Set the actionsRequired property: Some RP chose "None".
withAdditionalProperties(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Set the additionalProperties property: Specifies the custom service configuration.
withAdditionalProperties(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.Docker: Set the additionalProperties property: Docker container configuration.
withAdditionalProperties(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariable: Set the additionalProperties property: Environment Variables for the container.
withAdditionalProperties(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.Image: Set the additionalProperties property: Describes the Image Specifications.
withAdditionalWorkspaceStorageAccounts(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceHubConfig: Set the additionalWorkspaceStorageAccounts property: The additionalWorkspaceStorageAccounts property.
withAddress(String) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Set the address property: Public IP address of the master node of the cluster.
withAddress(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the address property: Public IP address of the virtual machine.
withAdministratorAccount(VirtualMachineSshCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Set the administratorAccount property: Admin credentials for master node of the cluster.
withAdministratorAccount(VirtualMachineSshCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the administratorAccount property: Admin credentials for virtual machine.
withAdministratorAccount(VirtualMachineSshCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecrets: Set the administratorAccount property: Admin credentials for virtual machine.
withAdministratorAccount(VirtualMachineSshCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSecretsSchema: Set the administratorAccount property: Admin credentials for virtual machine.
withAdminKubeConfig(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Set the adminKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
withAdminKubeConfig(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Set the adminKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
withAdminPublicKey(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Set the adminPublicKey property: Specifies the SSH rsa public key file as a string.
withAdminUsername(String) - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Set the adminUsername property: Name of the administrator user account which can be used to SSH to nodes.
withAdminUserPassword(String) - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Set the adminUserPassword property: Password of the administrator user account.
withAdminUserSshPublicKey(String) - Method in class com.azure.resourcemanager.machinelearning.models.UserAccountCredentials: Set the adminUserSshPublicKey property: SSH public key of the administrator user account.
withAdvancedSettings(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the advancedSettings property: Settings for advanced scenarios.
withAdvancedSettings(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the advancedSettings property: Settings for advanced scenarios.
withAdvancedSettings(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the advancedSettings property: Settings for advanced scenarios.
withAgentCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the agentCount property: Number of agents.
withAgentVmSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the agentVmSize property: Agent virtual machine size.
withAksNetworkingConfiguration(AksNetworkingConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the aksNetworkingConfiguration property: AKS networking configuration for vnet.
withAlertNotificationSettings(MonitorNotificationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorDefinition: Set the alertNotificationSettings property: The monitor's notification settings.
withAllowBlobPublicAccess(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Set the allowBlobPublicAccess property: Public blob access allowed.
withAllowedTrainingAlgorithms(List<ClassificationModels>) - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Set the allowedTrainingAlgorithms property: Allowed models for classification task.
withAllowedTrainingAlgorithms(List<ForecastingModels>) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Set the allowedTrainingAlgorithms property: Allowed models for forecasting task.
withAllowedTrainingAlgorithms(List<RegressionModels>) - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Set the allowedTrainingAlgorithms property: Allowed models for regression task.
withAllowPublicAccessWhenBehindVnet(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
withAllowPublicAccessWhenBehindVnet(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet.
withAllowPublicAccessWhenBehindVnet(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithAllowPublicAccessWhenBehindVnet: Specifies the allowPublicAccessWhenBehindVnet property: The flag to indicate whether to allow public access when behind VNet..
withAmsGradient(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAmsGradient(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAmsGradient(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAmsGradient(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAmsGradient(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAmsGradient(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the amsGradient property: Enable AMSGrad when optimizer is 'adam' or 'adamw'.
withAppInsightsEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the appInsightsEnabled property: If true, enables Application Insights logging.
withAppInsightsEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the appInsightsEnabled property: If true, enables Application Insights logging.
withAppInsightsEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the appInsightsEnabled property: If true, enables Application Insights logging.
withApplicationInsights(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the applicationInsights property: ARM id of the application insights associated with this workspace.
withApplicationInsights(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the applicationInsights property: ARM id of the application insights associated with this workspace.
withApplicationInsights(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the applicationInsights property: ARM id of the application insights associated with this workspace.
withApplicationInsights(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithApplicationInsights: Specifies the applicationInsights property: ARM id of the application insights associated with this workspace..
withApplicationInsights(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithApplicationInsights: Specifies the applicationInsights property: ARM id of the application insights associated with this workspace..
withApplicationInsights(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the applicationInsights property: ARM id of the application insights associated with this workspace.
withApplicationInsights(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the applicationInsights property: Setting for diagnosing dependent application insights.
withApplicationInsightsResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the applicationInsightsResults property: The applicationInsightsResults property.
withApplicationSharingPolicy(ApplicationSharingPolicy) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the applicationSharingPolicy property: Policy for sharing applications on this compute instance among users of parent workspace.
withArchives(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the archives property: Archive files used in the job.
withArgs(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the args property: Arguments for the job.
withArmResourceId(ArmResourceId) - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedAcrAccount: Set the armResourceId property: This is populated once the ACR account is created.
withArmResourceId(ArmResourceId) - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Set the armResourceId property: This is populated once the storage account is created.
withArmResourceId(ArmResourceId) - Method in class com.azure.resourcemanager.machinelearning.models.UserCreatedAcrAccount: Set the armResourceId property: ARM ResourceId of a resource.
withArmResourceId(ArmResourceId) - Method in class com.azure.resourcemanager.machinelearning.models.UserCreatedStorageAccount: Set the armResourceId property: ARM ResourceId of a resource.
withArtifact(OneLakeArtifact) - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Set the artifact property: [Required] OneLake artifact backing the datastore.
withArtifactName(String) - Method in class com.azure.resourcemanager.machinelearning.models.LakeHouseArtifact: Set the artifactName property: [Required] OneLake artifact name.
withArtifactName(String) - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeArtifact: Set the artifactName property: [Required] OneLake artifact name.
withAssetId(String) - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceSasRequestDto: Set the assetId property: Id of the asset to be accessed.
withAssetId(String) - Method in class com.azure.resourcemanager.machinelearning.models.IdAssetReference: Set the assetId property: [Required] ARM resource ID of the asset.
withAssignedUser(AssignedUser) - Method in class com.azure.resourcemanager.machinelearning.models.PersonalComputeInstanceSettings: Set the assignedUser property: A user explicitly assigned to a personal compute instance.
withAssociatedWorkspaces(List<String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the associatedWorkspaces property: The associatedWorkspaces property.
withAssociatedWorkspaces(List<String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the associatedWorkspaces property: The associatedWorkspaces property.
withAssociatedWorkspaces(List<String>) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithAssociatedWorkspaces: Specifies the associatedWorkspaces property: The associatedWorkspaces property..
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the augmentations property: Settings for using Augmentations.
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the augmentations property: Settings for using Augmentations.
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the augmentations property: Settings for using Augmentations.
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the augmentations property: Settings for using Augmentations.
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the augmentations property: Settings for using Augmentations.
withAugmentations(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the augmentations property: Settings for using Augmentations.
withAuthMode(EndpointAuthMode) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Set the authMode property: [Required] Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication.
withAuthMode(EndpointAuthMode) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Set the authMode property: [Required] Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication.
withAuthMode(EndpointAuthMode) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Set the authMode property: [Required] Use 'Key' for key based authentication and 'AMLToken' for Azure Machine Learning token-based authentication.
withAuthMode(ServerlessInferenceEndpointAuthMode) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Set the authMode property: [Required] Specifies the authentication mode for the Serverless endpoint.
withAuthorityUrl(String) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the authorityUrl property: Authority URL used for authentication.
withAuthorityUrl(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Set the authorityUrl property: Authority URL used for authentication.
withAuthUrl(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Set the authUrl property: Required by Concur connection category.
withAutoPauseProperties(AutoPauseProperties) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the autoPauseProperties property: Auto pause properties.
withAutoRebuild(AutoRebuildSetting) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the autoRebuild property: Defines if image needs to be rebuilt based on base image changes.
withAutosave(Autosave) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Set the autosave property: Auto save settings.
withAutoScaleProperties(AutoScaleProperties) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the autoScaleProperties property: Auto scale properties.
withBeta1(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta1(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta1(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta1(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta1(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta1(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the beta1 property: Value of 'beta1' when optimizer is 'adam' or 'adamw'.
withBeta2(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBeta2(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBeta2(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBeta2(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBeta2(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBeta2(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the beta2 property: Value of 'beta2' when optimizer is 'adam' or 'adamw'.
withBillingCurrency(BillingCurrency) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Set the billingCurrency property: Three lettered code specifying the currency of the VM price.
withBind(BindOptions) - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Set the bind property: Bind Options of the mount.
withBlobReferenceForConsumption(BlobReferenceForConsumptionDto) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PendingUploadResponseDtoInner: Set the blobReferenceForConsumption property: Container level read, write, list SAS.
withBlobReferenceForConsumption(GetBlobReferenceForConsumptionDto) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.GetBlobReferenceSasResponseDtoInner: Set the blobReferenceForConsumption property: Blob reference for consumption details.
withBlobUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.BlobReferenceForConsumptionDto: Set the blobUri property: Blob URI path for client to upload data.
withBlobUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceForConsumptionDto: Set the blobUri property: Blob uri, example: https://blob.windows.core.net/Container/Path.
withBlobUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceSasRequestDto: Set the blobUri property: Blob uri of the asset to be accessed.
withBlockedTrainingAlgorithms(List<ClassificationModels>) - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Set the blockedTrainingAlgorithms property: Blocked models for classification task.
withBlockedTrainingAlgorithms(List<ForecastingModels>) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Set the blockedTrainingAlgorithms property: Blocked models for forecasting task.
withBlockedTrainingAlgorithms(List<RegressionModels>) - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Set the blockedTrainingAlgorithms property: Blocked models for regression task.
withBlockedTransformers(List<BlockedTransformers>) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the blockedTransformers property: These transformers shall not be used in featurization.
withBoxDetectionsPerImage(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the boxDetectionsPerImage property: Maximum number of detections per image, for all classes.
withBoxDetectionsPerImage(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the boxDetectionsPerImage property: Maximum number of detections per image, for all classes.
withBoxScoreThreshold(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the boxScoreThreshold property: During inference, only return proposals with a classification score greater than BoxScoreThreshold.
withBoxScoreThreshold(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the boxScoreThreshold property: During inference, only return proposals with a classification score greater than BoxScoreThreshold.
withBuild(BuildContext) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the build property: Configuration settings for Docker build context.
withCaching(Caching) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Set the caching property: Caching type of Data Disk.
withCapacity(SkuCapacity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Set the capacity property: Gets or sets the Sku Capacity.
withCapacity(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Set the capacity property: If the SKU supports scale out/in then the capacity integer should be included.
withCapacity(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Set the capacity property: If the SKU supports scale out/in then the capacity integer should be included.
withCaptureHeaders(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.RequestLogging: Set the captureHeaders property: For payload logging, we only collect payload by default.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Set the category property: Category of the connection.
withCategory(ConnectionCategory) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Set the category property: Category of the connection.
withCategory(RuleCategory) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnOutboundRule: Set the category property: Category of a managed network Outbound Rule of a machine learning workspace.
withCategory(RuleCategory) - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRule: Set the category property: Category of a managed network Outbound Rule of a machine learning workspace.
withCategory(RuleCategory) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointOutboundRule: Set the category property: Category of a managed network Outbound Rule of a machine learning workspace.
withCategory(RuleCategory) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagOutboundRule: Set the category property: Category of a managed network Outbound Rule of a machine learning workspace.
withCategory(String) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Set the category property: The category property.
withCert(String) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the cert property: Cert data.
withCertificate(String) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreSecrets: Set the certificate property: Service principal certificate.
withCheckpointFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the checkpointFrequency property: Frequency to store model checkpoints.
withCheckpointFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the checkpointFrequency property: Frequency to store model checkpoints.
withCheckpointFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the checkpointFrequency property: Frequency to store model checkpoints.
withCheckpointModel(MLFlowModelJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the checkpointModel property: The pretrained checkpoint model for incremental training.
withCheckpointModel(MLFlowModelJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the checkpointModel property: The pretrained checkpoint model for incremental training.
withCheckpointModel(MLFlowModelJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the checkpointModel property: The pretrained checkpoint model for incremental training.
withCheckpointRunId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the checkpointRunId property: The id of a previous run that has a pretrained checkpoint for incremental training.
withCheckpointRunId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the checkpointRunId property: The id of a previous run that has a pretrained checkpoint for incremental training.
withCheckpointRunId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the checkpointRunId property: The id of a previous run that has a pretrained checkpoint for incremental training.
withClassName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobScalaEntry: Set the className property: [Required] Scala class name used as entry point.
withClientId(String) - Method in class com.azure.resourcemanager.machinelearning.models.Collection: Set the clientId property: The msi client id used to collect logging to blob storage.
withClientId(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionManagedIdentity: Set the clientId property: The clientId property.
withClientId(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionServicePrincipal: Set the clientId property: The clientId property.
withClientId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the clientId property: [Required] Service principal client ID.
withClientId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Set the clientId property: Specifies a user-assigned identity by client ID.
withClientId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Set the clientId property: [Required] Service principal client ID.
withClientId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Set the clientId property: Client id in the format of UUID.
withClientSecret(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreSecrets: Set the clientSecret property: Service principal secret.
withClientSecret(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Set the clientSecret property: The clientSecret property.
withClientSecret(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionServicePrincipal: Set the clientSecret property: The clientSecret property.
withClusterFqdn(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the clusterFqdn property: Cluster full qualified domain name.
withClusterPurpose(ClusterPurpose) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the clusterPurpose property: Intended usage of the cluster.
withCname(String) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the cname property: CNAME of the cert.
withCodeConfiguration(CodeConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the codeConfiguration property: Code configuration for the endpoint deployment.
withCodeConfiguration(CodeConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Set the codeConfiguration property: Code configuration for the endpoint deployment.
withCodeConfiguration(CodeConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the codeConfiguration property: Code configuration for the endpoint deployment.
withCodeConfiguration(CodeConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the codeConfiguration property: Code configuration for the endpoint deployment.
withCodeConfiguration(CodeConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the codeConfiguration property: Code configuration for the endpoint deployment.
withCodeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Set the codeId property: ARM resource ID of the code asset.
withCodeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the codeId property: ARM resource ID of the code asset.
withCodeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the codeId property: [Required] arm-id of the code asset.
withCodeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the codeId property: ARM resource ID of the code asset.
withCodeUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties: Set the codeUri property: Uri where code is located.
withCollections(Map<String, Collection>) - Method in class com.azure.resourcemanager.machinelearning.models.DataCollector: Set the collections property: [Required] The collection configuration.
withCollectionsThroughput(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.CosmosDbSettings: Set the collectionsThroughput property: The throughput of the collections in cosmosdb database.
withColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.IndexColumn: Set the columnName property: Specifies the column name.
withColumnNameAndTypes(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the columnNameAndTypes property: Dictionary of column name and its type (int, float, string, datetime etc).
withColumns(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FixedInputData: Set the columns property: Mapping of column names to special uses.
withColumns(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Set the columns property: Mapping of column names to special uses.
withColumns(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Set the columns property: Mapping of column names to special uses.
withColumns(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Set the columns property: Mapping of column names to special uses.
withCommand(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the command property: [Required] The command to execute on startup of the job.
withCommand(String) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the command property: [Required] The command to execute on startup of the job.
withComponentId(IdAssetReference) - Method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Set the componentId property: The ARM id of the component to be run.
withComponentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the componentId property: ARM resource ID of the component resource.
withComponentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the componentId property: ARM resource ID of the component resource.
withComponentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Set the componentId property: [Required] Reference to the component asset used to calculate the custom metrics.
withComponentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Set the componentId property: ARM resource ID of the component resource.
withComponentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the componentId property: ARM resource ID of the component resource.
withComponentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the componentId property: ARM resource ID of the component resource.
withComponentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the componentId property: ARM resource ID of the component resource.
withComponentSpec(Object) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties: Set the componentSpec property: Defines Component definition details.
withCompute(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the compute property: Compute target for batch inference operation.
withCompute(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Set the compute property: ARM resource ID of the compute if it exists.
withComputeConfiguration(MonitorComputeConfigurationBase) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorDefinition: Set the computeConfiguration property: [Required] The ARM resource ID of the compute resource to run the monitoring job on.
withComputeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the computeId property: ARM resource ID of the compute resource.
withComputeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the computeId property: ARM resource ID of the compute resource.
withComputeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Set the computeId property: ARM resource ID of the compute resource.
withComputeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the computeId property: ARM resource ID of the compute resource.
withComputeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the computeId property: ARM resource ID of the compute resource.
withComputeId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the computeId property: ARM resource ID of the compute resource.
withComputeIdentity(MonitorComputeIdentityBase) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorServerlessSparkCompute: Set the computeIdentity property: [Required] The identity scheme leveraged to by the spark jobs running on serverless Spark.
withComputeInstanceAuthorizationType(ComputeInstanceAuthorizationType) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the computeInstanceAuthorizationType property: The Compute Instance Authorization type.
withComputeLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Set the computeLocation property: Location for the underlying compute.
withComputeLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Set the computeLocation property: Location for the underlying compute.
withComputeLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Set the computeLocation property: Location for the underlying compute.
withComputeLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Set the computeLocation property: Location for the underlying compute.
withComputeLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Set the computeLocation property: Location for the underlying compute.
withComputeLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Set the computeLocation property: Location for the underlying compute.
withComputeLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Set the computeLocation property: Location for the underlying compute.
withComputeLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Set the computeLocation property: Location for the underlying compute.
withComputeLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Set the computeLocation property: Location for the underlying compute.
withComputeLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Set the computeLocation property: Location for the underlying compute.
withComputeLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Set the computeLocation property: Location for the underlying compute.
withComputeRuntime(ComputeRuntimeDto) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureStoreSettings: Set the computeRuntime property: Compute runtime config for feature store type workspace.
withComputeStartStop(List<ComputeStartStopSchedule>) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeSchedules: Set the computeStartStop property: The list of compute start stop schedules to be applied.
withCondaFile(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the condaFile property: Standard configuration file used by Conda that lets you install any kind of package, including Python, R, and C/C++ packages.
withConf(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the conf property: Spark configured properties.
withConsistency(String) - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Set the consistency property: Consistency of the volume.
withContainerName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the containerName property: Storage account container name.
withContainerRegistry(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the containerRegistry property: ARM id of the container registry associated with this workspace.
withContainerRegistry(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the containerRegistry property: ARM id of the container registry associated with this workspace.
withContainerRegistry(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the containerRegistry property: ARM id of the container registry associated with this workspace.
withContainerRegistry(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithContainerRegistry: Specifies the containerRegistry property: ARM id of the container registry associated with this workspace..
withContainerRegistry(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithContainerRegistry: Specifies the containerRegistry property: ARM id of the container registry associated with this workspace..
withContainerRegistry(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the containerRegistry property: ARM id of the container registry associated with this workspace.
withContainerRegistry(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the containerRegistry property: Setting for diagnosing dependent container registry.
withContainerRegistryResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the containerRegistryResults property: The containerRegistryResults property.
withContainerResourceLimits(ContainerResourceSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Set the containerResourceLimits property: Container resource limit info:.
withContainerResourceRequests(ContainerResourceSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceRequirements: Set the containerResourceRequests property: Container resource request info:.
withContainerResourceRequirements(ContainerResourceRequirements) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the containerResourceRequirements property: The resource requirements for the container (cpu and memory).
withContainerType(ContainerType) - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Set the containerType property: The type of container to retrieve logs from.
withContent(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DeploymentLogsInner: Set the content property: The retrieved online deployment logs.
withContentSafety(ContentSafety) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Set the contentSafety property: Specifies the content safety options.
withContentSafetyStatus(ContentSafetyStatus) - Method in class com.azure.resourcemanager.machinelearning.models.ContentSafety: Set the contentSafetyStatus property: [Required] Specifies the status of content safety.
withContextUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.BuildContext: Set the contextUri property: [Required] URI of the Docker build context used to build the image.
withCosmosDb(CosmosDbSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceManagedResourcesSettings: Set the cosmosDb property: The settings for the service managed cosmosdb account.
withCountryOrRegionForHolidays(String) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the countryOrRegionForHolidays property: Country or region for holidays for forecasting tasks.
withCpu(String) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Set the cpu property: Number of vCPUs request/limit for container.
withCreatedBy(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the createdBy property: who this data mount created by.
withCreateHostPath(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.BindOptions: Set the createHostPath property: Indicate whether to create host path.
withCreationScript(ScriptReference) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Set the creationScript property: Script that's run only once during provision of the compute.
withCredential(DataReferenceCredential) - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceForConsumptionDto: Set the credential property: Credential info to access storage account.
withCredential(PendingUploadCredentialDto) - Method in class com.azure.resourcemanager.machinelearning.models.BlobReferenceForConsumptionDto: Set the credential property: Credential info to access storage account.
withCredentials(CustomKeys) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Set the credentials property: Custom Keys credential object.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the credentials property: [Required] Account credentials.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the credentials property: [Required] Account credentials.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the credentials property: [Required] Account credentials.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the credentials property: [Required] Account credentials.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreProperties: Set the credentials property: [Required] Account credentials.
withCredentials(DatastoreCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Set the credentials property: [Required] Account credentials.
withCredentials(WorkspaceConnectionAccessKey) - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Set the credentials property: The credentials property.
withCredentials(WorkspaceConnectionAccountKey) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Set the credentials property: The credentials property.
withCredentials(WorkspaceConnectionApiKey) - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Set the credentials property: Api key object for workspace connection credential.
withCredentials(WorkspaceConnectionManagedIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Set the credentials property: The credentials property.
withCredentials(WorkspaceConnectionOAuth2) - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Set the credentials property: ClientId and ClientSecret are required.
withCredentials(WorkspaceConnectionPersonalAccessToken) - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Set the credentials property: The credentials property.
withCredentials(WorkspaceConnectionServicePrincipal) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Set the credentials property: The credentials property.
withCredentials(WorkspaceConnectionSharedAccessSignature) - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Set the credentials property: The credentials property.
withCredentials(WorkspaceConnectionUsernamePassword) - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Set the credentials property: The credentials property.
withCron(Cron) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Set the cron property: Required if triggerType is Cron.
withCurrentImageVersion(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageMetadata: Set the currentImageVersion property: Specifies the current operating system image version this compute instance is running on.
withCustomServices(List<CustomService>) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the customServices property: List of Custom Services added to the compute.
withCvSplitColumnNames(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the cvSplitColumnNames property: Columns to use for CVSplit data.
withCvSplitColumnNames(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the cvSplitColumnNames property: Columns to use for CVSplit data.
withCvSplitColumnNames(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the cvSplitColumnNames property: Columns to use for CVSplit data.
withCvSplitColumnNames(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the cvSplitColumnNames property: Columns to use for CVSplit data.
withCvStepSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the cvStepSize property: Number of periods between the origin time of one CV fold and the next fold.
withData(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FlavorData: Set the data property: Model flavor-specific data.
withDataAvailabilityStatus(List<DataAvailabilityStatus>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Set the dataAvailabilityStatus property: Specified the data availability status that you want to backfill.
withDatabricksAccessToken(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecrets: Set the databricksAccessToken property: access token for databricks account.
withDatabricksAccessToken(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksComputeSecretsProperties: Set the databricksAccessToken property: access token for databricks account.
withDatabricksAccessToken(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Set the databricksAccessToken property: Databricks access token.
withDataCollectionMode(DataCollectionMode) - Method in class com.azure.resourcemanager.machinelearning.models.Collection: Set the dataCollectionMode property: Enable or disable data collection.
withDataCollector(DataCollector) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the dataCollector property: The mdc configuration, we disable mdc when it's null.
withDataCollector(DataCollector) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the dataCollector property: The mdc configuration, we disable mdc when it's null.
withDataCollector(DataCollector) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the dataCollector property: The mdc configuration, we disable mdc when it's null.
withDataContext(String) - Method in class com.azure.resourcemanager.machinelearning.models.FixedInputData: Set the dataContext property: The context metadata of the data source.
withDataContext(String) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Set the dataContext property: The context metadata of the data source.
withDataContext(String) - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Set the dataContext property: The context metadata of the data source.
withDataContext(String) - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Set the dataContext property: The context metadata of the data source.
withDataId(String) - Method in class com.azure.resourcemanager.machinelearning.models.Collection: Set the dataId property: The data asset arm resource id.
withDataLakeStoreAccountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchemaProperties: Set the dataLakeStoreAccountName property: DataLake Store Account Name.
withDatasetLanguage(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturizationSettings: Set the datasetLanguage property: Dataset language, useful for the text data.
withDatasetLanguage(String) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalFeaturizationSettings: Set the datasetLanguage property: Dataset language, useful for the text data.
withDatasetLanguage(String) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the datasetLanguage property: Dataset language, useful for the text data.
withDatastoreId(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Set the datastoreId property: ARM resource ID of the datastore where the asset is located.
withDataType(DataType) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerProperties: Set the dataType property: [Required] Specifies the type of data.
withDataType(FeatureDataType) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureProperties: Set the dataType property: Specifies type.
withDataType(FeatureDataType) - Method in class com.azure.resourcemanager.machinelearning.models.IndexColumn: Set the dataType property: Specifies the data type.
withDataUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties: Set the dataUri property: [Required] Uri of the data.
withDataUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the dataUri property: [Required] Uri of the data.
withDataUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the dataUri property: [Required] Uri of the data.
withDataUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the dataUri property: [Required] Uri of the data.
withDefaultInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the defaultInstanceType property: Default instance type.
withDefaultPollInterval(Duration) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Sets the default poll interval, used when service does not provide "Retry-After" header.
withDefaultProperty(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Set the defaultProperty property: Gets or sets the default capacity.
withDefaults(BatchEndpointDefaults) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Set the defaults property: Default values for Batch Endpoint.
withDefaultWorkspaceResourceGroup(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceHubConfig: Set the defaultWorkspaceResourceGroup property: The defaultWorkspaceResourceGroup property.
withDelayEvaluation(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Set the delayEvaluation property: Number of intervals by which to delay the first evaluation.
withDelayEvaluation(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Set the delayEvaluation property: Number of intervals by which to delay the first evaluation.
withDelayEvaluation(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.MedianStoppingPolicy: Set the delayEvaluation property: Number of intervals by which to delay the first evaluation.
withDelayEvaluation(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Set the delayEvaluation property: Number of intervals by which to delay the first evaluation.
withDelayInMinutes(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Set the delayInMinutes property: The delayInMinutes property.
withDeploymentConfiguration(BatchDeploymentConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the deploymentConfiguration property: Properties relevant to different deployment types.
withDeploymentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringTarget: Set the deploymentId property: Reference to the deployment asset targeted by this monitor.
withDeploymentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointDefaults: Set the deploymentName property: Name of the deployment that will be default for the endpoint.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Set the description property: Describes the feature for user experience.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Set the description property: Description of the inference endpoint.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the description property: The description of this workspace.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the description property: The description of this workspace.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the description property: The description of this workspace.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Set the description property: Description of the inference endpoint.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Set the description property: The description which will be applied to the job.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Set the description property: Specifies description.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.LiteralJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Set the description property: Description of the inference endpoint.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeployment: Set the description property: Description of the endpoint deployment.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Set the description property: The reason for approval/rejection of the connection.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateLinkServiceConnectionState: Set the description property: User-defined message that, per NRP doc, may be used for approval-related message.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the description property: The asset description text.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Set the description property: Description for the input.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Set the description property: Description for the output.
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Set the description property: The description of the Machine Learning compute.
withDescription(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithDescription: Specifies the description property: The description of this workspace..
withDescription(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithDescription: Specifies the description property: The description of this workspace..
withDescription(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the description property: The description of this workspace.
withDestination(PrivateEndpointDestination) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointOutboundRule: Set the destination property: Private Endpoint destination for a Private Endpoint Outbound Rule for the managed network of a machine learning workspace.
withDestination(ServiceTagDestination) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagOutboundRule: Set the destination property: Service Tag destination for a Service Tag Outbound Rule for the managed network of a machine learning workspace.
withDestination(String) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnOutboundRule: Set the destination property: The destination property.
withDestinationName(String) - Method in class com.azure.resourcemanager.machinelearning.models.DestinationAsset: Set the destinationName property: Destination asset name.
withDestinationVersion(String) - Method in class com.azure.resourcemanager.machinelearning.models.DestinationAsset: Set the destinationVersion property: Destination asset version.
withDeveloperToken(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Set the developerToken property: Required by GoogleAdWords connection category.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDisableLocalAuth(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Set the disableLocalAuth property: Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.
withDiscoveryUrl(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Set the discoveryUrl property: Discovery URL for the Registry.
withDiscoveryUrl(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Set the discoveryUrl property: Discovery URL for the Registry.
withDiscoveryUrl(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
withDiscoveryUrl(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
withDiscoveryUrl(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithDiscoveryUrl: Specifies the discoveryUrl property: Discovery URL for the Registry.
withDiscoveryUrl(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithDiscoveryUrl: Specifies the discoveryUrl property: Url for the discovery service to identify regional endpoints for machine learning experimentation services.
withDiskSizeGB(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Set the diskSizeGB property: The initial disk size in gigabytes.
withDisplay(OperationDisplay) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OperationInner: Set the display property: Localized display information for this particular operation.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Set the displayName property: Specifies the feature name.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the displayName property: Display name of job.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the displayName property: Display name of job.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Set the displayName property: Name of the ComputeInstance application.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Set the displayName property: Specifies description.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Set the displayName property: Display name of job.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the displayName property: Display name of job.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Set the displayName property: Display name of schedule.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the displayName property: Display name of job.
withDisplayName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the displayName property: Display name of job.
withDistributed(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the distributed property: Whether to use distributed training.
withDistributed(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the distributed property: Whether to use distributed training.
withDistributed(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the distributed property: Whether to use distributed training.
withDistributed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the distributed property: Whether to use distributer training.
withDistributed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the distributed property: Whether to use distributer training.
withDistributed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the distributed property: Whether to use distributer training.
withDistribution(DistributionConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the distribution property: Distribution configuration of the job.
withDistribution(DistributionConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the distribution property: Distribution configuration of the job.
withDnsResolution(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the dnsResolution property: Setting for diagnosing dns resolution.
withDnsResolutionResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the dnsResolutionResults property: The dnsResolutionResults property.
withDnsServiceIp(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Set the dnsServiceIp property: An IP address assigned to the Kubernetes DNS service.
withDocker(Docker) - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Set the docker property: Describes the docker settings for the image.
withDockerArgs(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobResourceConfiguration: Set the dockerArgs property: Extra arguments to pass to the Docker run command.
withDockerBridgeCidr(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Set the dockerBridgeCidr property: A CIDR notation IP range assigned to the Docker bridge network.
withDockerfilePath(String) - Method in class com.azure.resourcemanager.machinelearning.models.BuildContext: Set the dockerfilePath property: Path to the Dockerfile in the build context.
withDomainName(String) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Set the domainName property: The domainName property.
withEarlyStopping(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStopping(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStopping(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStopping(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStopping(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStopping(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the earlyStopping property: Enable early stopping logic during training.
withEarlyStoppingDelay(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingDelay(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingDelay(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingDelay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingDelay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingDelay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the earlyStoppingDelay property: Minimum number of epochs or validation evaluations to wait before primary metric improvement is tracked for early stopping.
withEarlyStoppingPatience(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyStoppingPatience(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyStoppingPatience(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyStoppingPatience(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyStoppingPatience(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyStoppingPatience(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the earlyStoppingPatience property: Minimum number of epochs or validation evaluations with no primary metric improvement before the run is stopped.
withEarlyTermination(EarlyTerminationPolicy) - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Set the earlyTermination property: Type of early termination policy.
withEarlyTermination(EarlyTerminationPolicy) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the earlyTermination property: Early termination policies enable canceling poor-performing runs before they complete.
withEgressPublicNetworkAccess(EgressPublicNetworkAccessType) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the egressPublicNetworkAccess property: If Enabled, allow egress public network access.
withEgressPublicNetworkAccess(EgressPublicNetworkAccessType) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the egressPublicNetworkAccess property: If Enabled, allow egress public network access.
withEgressPublicNetworkAccess(EgressPublicNetworkAccessType) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the egressPublicNetworkAccess property: If Enabled, allow egress public network access.
withEmailNotificationSettings(MonitorEmailNotificationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorNotificationSettings: Set the emailNotificationSettings property: The AML notification email settings.
withEmailOn(List<EmailNotificationEnableType>) - Method in class com.azure.resourcemanager.machinelearning.models.NotificationSetting: Set the emailOn property: Send email notification to user on specified notification type.
withEmails(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorEmailNotificationSettings: Set the emails property: The email recipient list which has a limitation of 499 characters in total.
withEmails(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.NotificationSetting: Set the emails property: This is the email recipient list which has a limitation of 499 characters in total concat with comma separator.
withEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AutoPauseProperties: Set the enabled property: The enabled property.
withEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Set the enabled property: The enabled property.
withEnableDataIsolation(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the enableDataIsolation property: The enableDataIsolation property.
withEnableDataIsolation(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the enableDataIsolation property: The enableDataIsolation property.
withEnableDataIsolation(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the enableDataIsolation property: The enableDataIsolation property.
withEnableDataIsolation(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithEnableDataIsolation: Specifies the enableDataIsolation property: The enableDataIsolation property..
withEnableDataIsolation(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithEnableDataIsolation: Specifies the enableDataIsolation property: The enableDataIsolation property..
withEnableDataIsolation(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the enableDataIsolation property: The enableDataIsolation property.
withEnableDnnFeaturization(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the enableDnnFeaturization property: Determines whether to use Dnn based featurizers for data featurization.
withEnableDnnTraining(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Set the enableDnnTraining property: Enable recommendation of DNN models.
withEnableDnnTraining(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Set the enableDnnTraining property: Enable recommendation of DNN models.
withEnableDnnTraining(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Set the enableDnnTraining property: Enable recommendation of DNN models.
withEnableDnnTraining(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the enableDnnTraining property: Enable recommendation of DNN models.
withEnableEarlyTermination(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the enableEarlyTermination property: Enable early termination, determines whether or not if AutoMLJob will terminate early if there is no score improvement in last 20 iterations.
withEnableModelExplainability(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Set the enableModelExplainability property: Flag to turn on explainability on best model.
withEnableModelExplainability(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Set the enableModelExplainability property: Flag to turn on explainability on best model.
withEnableModelExplainability(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Set the enableModelExplainability property: Flag to turn on explainability on best model.
withEnableModelExplainability(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the enableModelExplainability property: Flag to turn on explainability on best model.
withEnableNodePublicIp(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the enableNodePublicIp property: Enable or disable node public IP address provisioning.
withEnableNodePublicIp(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the enableNodePublicIp property: Enable or disable node public IP address provisioning.
withEnableOnnxCompatibleModels(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Set the enableOnnxCompatibleModels property: Flag for enabling onnx compatible models.
withEnableOnnxCompatibleModels(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Set the enableOnnxCompatibleModels property: Flag for enabling onnx compatible models.
withEnableOnnxCompatibleModels(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Set the enableOnnxCompatibleModels property: Flag for enabling onnx compatible models.
withEnableOnnxCompatibleModels(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the enableOnnxCompatibleModels property: Flag for enabling onnx compatible models.
withEnableOnnxNormalization(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableOnnxNormalization(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableOnnxNormalization(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableOnnxNormalization(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableOnnxNormalization(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableOnnxNormalization(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the enableOnnxNormalization property: Enable normalization when exporting ONNX model.
withEnableStackEnsemble(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Set the enableStackEnsemble property: Enable stack ensemble run.
withEnableStackEnsemble(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Set the enableStackEnsemble property: Enable stack ensemble run.
withEnableStackEnsemble(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Set the enableStackEnsemble property: Enable stack ensemble run.
withEnableStackEnsemble(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the enableStackEnsemble property: Enable stack ensemble run.
withEnableVoteEnsemble(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Set the enableVoteEnsemble property: Enable voting ensemble run.
withEnableVoteEnsemble(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Set the enableVoteEnsemble property: Enable voting ensemble run.
withEnableVoteEnsemble(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Set the enableVoteEnsemble property: Enable voting ensemble run.
withEnableVoteEnsemble(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the enableVoteEnsemble property: Enable voting ensemble run.
withEncryption(EncryptionProperty) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the encryption property: The encryption settings of Azure ML workspace.
withEncryption(EncryptionProperty) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the encryption property: The encryption settings of Azure ML workspace.
withEncryption(EncryptionProperty) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithEncryption: Specifies the encryption property: The encryption settings of Azure ML workspace..
withEncryption(EncryptionUpdateProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the encryption property: The encryption property.
withEncryption(EncryptionUpdateProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithEncryption: Specifies the encryption property: The encryption property..
withEncryption(EncryptionUpdateProperties) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the encryption property: The encryption property.
withEndpoint(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the endpoint property: Azure cloud endpoint for the storage account.
withEndpoint(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the endpoint property: Azure cloud endpoint for the storage account.
withEndpoint(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the endpoint property: Azure cloud endpoint for the storage account.
withEndpoint(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Set the endpoint property: Url for endpoint.
withEndpoint(String) - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Set the endpoint property: OneLake endpoint to use for the datastore.
withEndpointDetails(List<FqdnEndpointDetail>) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoint: Set the endpointDetails property: The endpointDetails property.
withEndpointInvocationDefinition(Object) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointScheduleAction: Set the endpointInvocationDefinition property: [Required] Defines Schedule action definition details.
withEndpoints(List<Endpoint>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Set the endpoints property: Configuring the endpoints for the container.
withEndpoints(List<FqdnEndpoint>) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointsProperties: Set the endpoints property: The endpoints property.
withEndpointUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceApplication: Set the endpointUri property: Application' endpoint URI.
withEndTime(String) - Method in class com.azure.resourcemanager.machinelearning.models.CronTrigger: Set the endTime property: Specifies end time of schedule in ISO 8601, but without a UTC offset.
withEndTime(String) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Set the endTime property: Specifies end time of schedule in ISO 8601, but without a UTC offset.
withEndTime(String) - Method in class com.azure.resourcemanager.machinelearning.models.TriggerBase: Set the endTime property: Specifies end time of schedule in ISO 8601, but without a UTC offset.
withEnsembleModelDownloadTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Set the ensembleModelDownloadTimeout property: During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded.
withEnsembleModelDownloadTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Set the ensembleModelDownloadTimeout property: During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded.
withEnsembleModelDownloadTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Set the ensembleModelDownloadTimeout property: During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded.
withEnsembleModelDownloadTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the ensembleModelDownloadTimeout property: During VotingEnsemble and StackEnsemble model generation, multiple fitted models from the previous child runs are downloaded.
withEntities(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Set the entities property: Specifies list of entities.
withEntry(SparkJobEntry) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the entry property: [Required] The entry to execute on startup of the job.
withEnvironment(ComputeInstanceEnvironmentInfo) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Set the environment property: Environment information of this container.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the environmentId property: The ARM resource ID of the Environment specification for the job.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the environmentId property: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the environmentId property: [Required] The ARM resource ID of the Environment specification for the job.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Set the environmentId property: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the environmentId property: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the environmentId property: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the environmentId property: ARM resource ID or AssetId of the environment specification for the endpoint deployment.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the environmentId property: The ARM resource ID of the Environment specification for the job.
withEnvironmentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the environmentId property: [Required] The ARM resource ID of the Environment specification for the job.
withEnvironmentVariables(Map<String, EnvironmentVariable>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Set the environmentVariables property: Environment Variable for the container.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the environmentVariables property: Environment variables included in the job.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the environmentVariables property: Environment variables configuration for the deployment.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the environmentVariables property: Environment variables included in the job.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Set the environmentVariables property: Environment variables configuration for the deployment.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the environmentVariables property: Environment variables configuration for the deployment.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the environmentVariables property: Environment variables configuration for the deployment.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the environmentVariables property: Environment variables configuration for the deployment.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the environmentVariables property: Environment variables included in the job.
withEnvironmentVariables(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the environmentVariables property: Environment variables included in the job.
withError(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the error property: Error of this data mount.
withErrorMessage(String) - Method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Set the errorMessage property: The errorMessage property.
withErrorThreshold(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the errorThreshold property: Error threshold, if the error count for the entire input goes above this value, the batch inference will be aborted.
withEstimatedVMPrices(EstimatedVMPrices) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Set the estimatedVMPrices property: The estimated price information for using a VM.
withEvaluationFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationFrequency(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationFrequency(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationFrequency(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationFrequency(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the evaluationFrequency property: Frequency to evaluate validation dataset to get metric scores.
withEvaluationInterval(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Set the evaluationInterval property: Interval (number of runs) between policy evaluations.
withEvaluationInterval(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.EarlyTerminationPolicy: Set the evaluationInterval property: Interval (number of runs) between policy evaluations.
withEvaluationInterval(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.MedianStoppingPolicy: Set the evaluationInterval property: Interval (number of runs) between policy evaluations.
withEvaluationInterval(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Set the evaluationInterval property: Interval (number of runs) between policy evaluations.
withEventType(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDevOpsWebhook: Set the eventType property: Send callback on a specified notification event.
withEventType(String) - Method in class com.azure.resourcemanager.machinelearning.models.Webhook: Set the eventType property: Send callback on a specified notification event.
withExistingBatchEndpoint(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, endpointName.
withExistingCode(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingComponent(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingData(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingEnvironment(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingFeatureset(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingFeaturestoreEntity(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingModel(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, name.
withExistingOnlineEndpoint(String, String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName, endpointName.
withExistingResourceGroup(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithResourceGroup: Specifies resourceGroupName.
withExistingResourceGroup(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithResourceGroup: Specifies resourceGroupName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExistingWorkspace(String, String) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource.DefinitionStages.WithParentResource: Specifies resourceGroupName, workspaceName.
withExitScore(Double) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the exitScore property: Exit score for the AutoML job.
withExperimentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the experimentName property: The name of the experiment the job belongs to.
withExperimentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the experimentName property: The name of the experiment the job belongs to.
withExperimentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Set the experimentName property: The name of the experiment the job belongs to.
withExperimentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the experimentName property: The name of the experiment the job belongs to.
withExperimentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the experimentName property: The name of the experiment the job belongs to.
withExperimentName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the experimentName property: The name of the experiment the job belongs to.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Set the expiryTime property: The expiryTime property.
withExpiryTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Set the expiryTime property: The expiryTime property.
withExpiryTimeUtc(Long) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Set the expiryTimeUtc property: Access token expiry time (UTC).
withExpression(String) - Method in class com.azure.resourcemanager.machinelearning.models.Cron: Set the expression property: [Required] Specifies cron expression of schedule.
withExpression(String) - Method in class com.azure.resourcemanager.machinelearning.models.CronTrigger: Set the expression property: [Required] Specifies cron expression of schedule.
withExtensionInstanceReleaseTrain(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the extensionInstanceReleaseTrain property: Extension instance release train.
withExtensionPrincipalId(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the extensionPrincipalId property: Extension principal-id.
withFailureThreshold(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Set the failureThreshold property: The number of failures to allow before returning an unhealthy status.
withFamily(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Set the family property: If the service has different generations of hardware, for the same SKU, then that can be captured here.
withFamily(String) - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Set the family property: If the service has different generations of hardware, for the same SKU, then that can be captured here.
withFeatureDataTypeOverride(Map<String, MonitoringFeatureDataType>) - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Set the featureDataTypeOverride property: A dictionary that maps feature names to their respective data types.
withFeatureDataTypeOverride(Map<String, MonitoringFeatureDataType>) - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Set the featureDataTypeOverride property: A dictionary that maps feature names to their respective data types.
withFeatureDataTypeOverride(Map<String, MonitoringFeatureDataType>) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Set the featureDataTypeOverride property: A dictionary that maps feature names to their respective data types.
withFeatureDataTypeOverride(Map<String, MonitoringFeatureDataType>) - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Set the featureDataTypeOverride property: A dictionary that maps feature names to their respective data types.
withFeatureImportanceSettings(FeatureImportanceSettings) - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Set the featureImportanceSettings property: The settings for computing feature importance.
withFeatureImportanceSettings(FeatureImportanceSettings) - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Set the featureImportanceSettings property: The settings for computing feature importance.
withFeatureImportanceSettings(FeatureImportanceSettings) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Set the featureImportanceSettings property: [Required] The settings for computing feature importance.
withFeatureLags(FeatureLags) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the featureLags property: Flag for generating lags for the numeric features with 'auto' or null.
withFeatureName(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureProperties: Set the featureName property: Specifies name.
withFeatures(MonitoringFeatureFilterBase) - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Set the features property: The feature filter which identifies which feature to calculate drift over.
withFeatures(MonitoringFeatureFilterBase) - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Set the features property: The features to calculate drift over.
withFeatures(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureSubset: Set the features property: [Required] The list of features to include.
withFeatureStoreSettings(FeatureStoreSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the featureStoreSettings property: Settings for feature store type workspace.
withFeatureStoreSettings(FeatureStoreSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the featureStoreSettings property: Settings for feature store type workspace.
withFeatureStoreSettings(FeatureStoreSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the featureStoreSettings property: Settings for feature store type workspace.
withFeatureStoreSettings(FeatureStoreSettings) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithFeatureStoreSettings: Specifies the featureStoreSettings property: Settings for feature store type workspace..
withFeatureStoreSettings(FeatureStoreSettings) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithFeatureStoreSettings: Specifies the featureStoreSettings property: Settings for feature store type workspace..
withFeatureStoreSettings(FeatureStoreSettings) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the featureStoreSettings property: Settings for feature store type workspace.
withFeatureWindow(FeatureWindow) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Set the featureWindow property: Specifies the backfill feature window to be materialized.
withFeatureWindowEnd(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureWindow: Set the featureWindowEnd property: Specifies the feature window end time.
withFeatureWindowStart(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureWindow: Set the featureWindowStart property: Specifies the feature window start time.
withFeaturizationSettings(NlpVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(NlpVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(NlpVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(NlpVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(TableVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(TableVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(TableVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFeaturizationSettings(TableVerticalFeaturizationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the featurizationSettings property: Featurization inputs needed for AutoML job.
withFields(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Set the fields property: Fields to apply transformer logic on.
withFile(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJobPythonEntry: Set the file property: [Required] Relative python file path for job entry point.
withFiles(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the files property: Files used in the job.
withFileShareName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the fileShareName property: [Required] The name of the Azure file share that the datastore points to.
withFilesystem(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the filesystem property: [Required] The name of the Data Lake Gen2 filesystem.
withFlavors(Map<String, FlavorData>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Set the flavors property: Mapping of model flavors to their properties.
withForecastHorizon(ForecastHorizon) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the forecastHorizon property: The desired maximum forecast horizon in units of time-series frequency.
withForecastingSettings(ForecastingSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the forecastingSettings property: Forecasting task specific inputs.
withFqdn(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Set the fqdn property: The fqdn property.
withFrequency(ComputeRecurrenceFrequency) - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Set the frequency property: [Required] The frequency to trigger schedule.
withFrequency(RecurrenceFrequency) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Set the frequency property: [Required] The frequency to trigger schedule.
withFrequency(String) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the frequency property: When forecasting, this parameter represents the period with which the forecast is desired, for example daily, weekly, yearly, etc.
withFriendlyName(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the friendlyName property: The friendly name for this workspace.
withFriendlyName(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the friendlyName property: The friendly name for this workspace.
withFriendlyName(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the friendlyName property: The friendly name for this workspace.
withFriendlyName(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithFriendlyName: Specifies the friendlyName property: The friendly name for this workspace.
withFriendlyName(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithFriendlyName: Specifies the friendlyName property: The friendly name for this workspace..
withFriendlyName(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the friendlyName property: The friendly name for this workspace.
withGoal(Goal) - Method in class com.azure.resourcemanager.machinelearning.models.Objective: Set the goal property: [Required] Defines supported metric goals for hyperparameter tuning.
withGpu(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Set the gpu property: Information of GPU.
withGpu(String) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Set the gpu property: Number of Nvidia GPU cards request/limit for container.
withGradientAccumulationStep(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep" steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGradientAccumulationStep(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep" steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGradientAccumulationStep(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep" steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGradientAccumulationStep(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep" steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGradientAccumulationStep(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep" steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGradientAccumulationStep(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the gradientAccumulationStep property: Gradient accumulation means running a configured number of "GradAccumulationStep" steps without updating the model weights while accumulating the gradients of those steps, and then using the accumulated gradients to compute the weight updates.
withGroupId(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Set the groupId property: The private link resource group id.
withGroupId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Set the groupId property: The private link resource group id.
withGroupIds(List<String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties: Set the groupIds property: The group ids.
withGroupIds(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Set the groupIds property: The group ids.
withHbiWorkspace(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
withHbiWorkspace(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
withHbiWorkspace(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithHbiWorkspace: Specifies the hbiWorkspace property: The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service.
withHostIp(String) - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Set the hostIp property: Host IP over which the application is exposed from the container.
withHours(List<Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule: Set the hours property: [Required] List of hours for the schedule.
withHours(List<Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Set the hours property: [Required] List of hours for the schedule.
withHttpClient(HttpClient) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Sets the http client.
withHubResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the hubResourceId property: The hubResourceId property.
withHubResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the hubResourceId property: The hubResourceId property.
withHubResourceId(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithHubResourceId: Specifies the hubResourceId property: The hubResourceId property..
withId(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.AmlUserFeatureInner: Set the id property: Specifies the feature ID.
withId(String) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Set the id property: Specifies the resource ID.
withId(String) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Set the id property: This is the private endpoint connection name created on SRP Full resource id: /subscriptions/{subId}/resourceGroups/{rgName}/providers/Microsoft.MachineLearningServices/{resourceType}/{resourceName}/registryPrivateEndpointConnections/{peConnectionName}.
withId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceId: Set the id property: The ID of the resource.
withId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Set the id property: A system assigned id for the schedule.
withId(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineImage: Set the id property: Virtual Machine image path.
withIdentity(IdentityConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the identity property: Identity configuration.
withIdentity(IdentityConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the identity property: Identity configuration.
withIdentity(IdentityConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Set the identity property: Identity configuration.
withIdentity(IdentityConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the identity property: Identity configuration.
withIdentity(IdentityConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the identity property: Identity configuration.
withIdentity(IdentityConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the identity property: Identity configuration.
withIdentity(IdentityForCmk) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Set the identity property: The identity that will be used to access the key vault for encryption at rest.
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Set the identity property: The identity of the resource.
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the identity property: The identity of the resource.
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the identity property: The identity of the resource.
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.DefinitionStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.DefinitionStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithIdentity: Specifies the identity property: The identity of the resource..
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedComputeIdentity: Set the identity property: The identity which will be leveraged by the monitoring jobs.
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.DefinitionStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.DefinitionStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithIdentity: Specifies the identity property: The identity of the resource..
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.UpdateStages.WithIdentity: Specifies the identity property: The identity of the resource..
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Set the identity property: The identity of the resource.
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.DefinitionStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithIdentity: Specifies the identity property: The identity of the resource..
withIdentity(ManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithIdentity: Specifies the identity property: The identity of the resource..
withIdentity(ManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the identity property: The identity of the resource.
withIdentity(PartialManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.UpdateStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(PartialManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.UpdateStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(PartialManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithIdentity: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(PartialManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSkuAndIdentity: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(PartialManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.UpdateStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(RegistryPartialManagedServiceIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.PartialRegistryPartialTrackedResource: Set the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentity(RegistryPartialManagedServiceIdentity) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.UpdateStages.WithIdentity: Specifies the identity property: Managed service identity (system assigned and/or user assigned identities).
withIdentityClientId(String) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Set the identityClientId property: For future use - The client id of the identity which will be used to access key vault.
withImage(Image) - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Set the image property: Describes the Image Specifications.
withImage(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the image property: Name of the image that will be used for the environment.
withImageBuildCompute(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the imageBuildCompute property: The compute name for image build.
withImageBuildCompute(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the imageBuildCompute property: The compute name for image build.
withImageBuildCompute(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the imageBuildCompute property: The compute name for image build.
withImageBuildCompute(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithImageBuildCompute: Specifies the imageBuildCompute property: The compute name for image build.
withImageBuildCompute(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithImageBuildCompute: Specifies the imageBuildCompute property: The compute name for image build.
withImageBuildCompute(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the imageBuildCompute property: The compute name for image build.
withImagePullSecretName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Set the imagePullSecretName property: Image registry pull secret.
withImagePullSecretName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Set the imagePullSecretName property: Image registry pull secret.
withImageSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the imageSize property: Image size for train and validation.
withImageSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the imageSize property: Image size for train and validation.
withIncludeSpark(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedNetworkProvisionOptions: Set the includeSpark property: The includeSpark property.
withIndexColumns(List<IndexColumn>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Set the indexColumns property: Specifies index columns.
withInferenceConfig(InferenceContainerProperties) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the inferenceConfig property: Defines configuration specific to inference.
withInitialDelay(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Set the initialDelay property: The delay before the first probe in ISO 8601 format.
withInputAssets(Map<String, MonitoringInputDataBase>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Set the inputAssets property: Monitoring assets to take as input.
withInputs(Map<String, JobInput>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the inputs property: Mapping of input data bindings used in the job.
withInputs(Map<String, JobInput>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Set the inputs property: Extra component parameters to take as input.
withInputs(Map<String, JobInput>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the inputs property: Inputs for the pipeline job.
withInputs(Map<String, JobInput>) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the inputs property: Mapping of input data bindings used in the job.
withInputs(Map<String, JobInput>) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the inputs property: Mapping of input data bindings used in the job.
withInstanceCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentResourceConfiguration: Set the instanceCount property: Optional number of instances or nodes used by the compute target.
withInstanceCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.JobResourceConfiguration: Set the instanceCount property: Optional number of instances or nodes used by the compute target.
withInstanceCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Set the instanceCount property: Optional number of instances or nodes used by the compute target.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentResourceConfiguration: Set the instanceType property: Optional type of VM used as supported by the compute target.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobResourceConfiguration: Set the instanceType property: Optional type of VM used as supported by the compute target.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the instanceType property: Compute instance type.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the instanceType property: Compute instance type.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationComputeResource: Set the instanceType property: Specifies the instance type.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorServerlessSparkCompute: Set the instanceType property: [Required] The instance type running the Spark job.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the instanceType property: Compute instance type.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Set the instanceType property: Optional type of VM used as supported by the compute target.
withInstanceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkResourceConfiguration: Set the instanceType property: Optional type of VM used as supported by the compute target.
withInstanceTypes(Map<String, InstanceTypeSchema>) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the instanceTypes property: Instance Type Schema.
withIntellectualPropertyPublisher(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Set the intellectualPropertyPublisher property: IntellectualPropertyPublisher for the registry.
withIntellectualPropertyPublisher(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Set the intellectualPropertyPublisher property: IntellectualPropertyPublisher for the registry.
withIntellectualPropertyPublisher(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithIntellectualPropertyPublisher: Specifies the intellectualPropertyPublisher property: IntellectualPropertyPublisher for the registry.
withInterval(int) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Set the interval property: [Required] Specifies schedule interval in conjunction with frequency.
withInterval(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Set the interval property: [Required] Specifies schedule interval in conjunction with frequency.
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsAnonymous(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the isAnonymous property: If the name version are system generated (anonymous registration).
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the isArchived property: Is the asset archived?.
withIsArchived(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the isArchived property: Is the asset archived?.
withIsEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Set the isEnabled property: Is the schedule enabled?.
withIsLatestOsImageVersion(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageMetadata: Set the isLatestOsImageVersion property: Specifies whether this compute instance is running on the latest operating system image.
withIsNotebookInstanceCompute(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the isNotebookInstanceCompute property: Indicates whether this compute will be used for running notebooks.
withIsolatedNetwork(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the isolatedNetwork property: Network is isolated or not.
withIsolationMode(IsolationMode) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner: Set the isolationMode property: Isolation mode for the managed network of a machine learning workspace.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Set the isSharedToAll property: The isSharedToAll property.
withIsSharedToAll(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Set the isSharedToAll property: The isSharedToAll property.
withJars(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the jars property: Jar files used in the job.
withJobDefinition(JobBaseProperties) - Method in class com.azure.resourcemanager.machinelearning.models.JobScheduleAction: Set the jobDefinition property: [Required] Defines Schedule action definition details.
withJobId(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Set the jobId property: Specify the jobId to retry the failed materialization.
withJobId(String) - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Set the jobId property: ARM resource ID of the job.
withJobIds(List<String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionBackfillResponseInner: Set the jobIds property: List of jobs submitted as part of the backfill request.
withJobInputType(JobInputType) - Method in class com.azure.resourcemanager.machinelearning.models.FixedInputData: Set the jobInputType property: [Required] Specifies the type of job.
withJobInputType(JobInputType) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Set the jobInputType property: [Required] Specifies the type of job.
withJobInputType(JobInputType) - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Set the jobInputType property: [Required] Specifies the type of job.
withJobInputType(JobInputType) - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Set the jobInputType property: [Required] Specifies the type of job.
withJobName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Set the jobName property: Name of the training job which produced this model.
withJobs(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the jobs property: Jobs construct the Pipeline Job.
withJobServiceType(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Set the jobServiceType property: Endpoint type.
withJobTier(JobTier) - Method in class com.azure.resourcemanager.machinelearning.models.QueueSettings: Set the jobTier property: Controls the compute job tier.
withKey(String) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreSecrets: Set the key property: Storage account key.
withKey(String) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the key property: Key data.
withKey(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccountKey: Set the key property: The key property.
withKey(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionApiKey: Set the key property: The key property.
withKeyIdentifier(String) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Set the keyIdentifier property: Key vault uri to access the encryption key.
withKeyIdentifier(String) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultUpdateProperties: Set the keyIdentifier property: The keyIdentifier property.
withKeys(EndpointAuthKeysInner) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Set the keys property: EndpointAuthKeys to set initially on an Endpoint.
withKeys(EndpointAuthKeysInner) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Set the keys property: EndpointAuthKeys to set initially on an Endpoint.
withKeys(EndpointAuthKeysInner) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Set the keys property: EndpointAuthKeys to set initially on an Endpoint.
withKeys(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeys: Set the keys property: Dictionary of <string>.
withKeyType(KeyType) - Method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Set the keyType property: [Required] Specification for which type of key to generate.
withKeyValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.RegenerateEndpointKeysRequest: Set the keyValue property: The value the key is set to.
withKeyVault(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the keyVault property: ARM id of the key vault associated with this workspace.
withKeyVault(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the keyVault property: ARM id of the key vault associated with this workspace.
withKeyVault(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithKeyVault: Specifies the keyVault property: ARM id of the key vault associated with this workspace.
withKeyVault(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the keyVault property: Setting for diagnosing dependent key vault.
withKeyVaultArmId(String) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionKeyVaultProperties: Set the keyVaultArmId property: The ArmId of the keyVault where the customer owned encryption key is present.
withKeyVaultProperties(EncryptionKeyVaultProperties) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Set the keyVaultProperties property: Customer Key vault properties.
withKeyVaultProperties(EncryptionKeyVaultUpdateProperties) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionUpdateProperties: Set the keyVaultProperties property: The keyVaultProperties property.
withKeyVaultResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the keyVaultResults property: The keyVaultResults property.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Set the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type.
withKind(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the kind property: The kind property.
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.DefinitionStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.DefinitionStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.DefinitionStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.DefinitionStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.DefinitionStages.WithKind: Specifies the kind property: Metadata used by portal/tooling/etc to render different UX experiences for resources of the same type..
withKind(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithKind: Specifies the kind property: The kind property..
withLatestImageVersion(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageMetadata: Set the latestImageVersion property: Specifies the latest available operating system image version.
withLayersToFreeze(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the layersToFreeze property: Number of layers to freeze for the model.
withLayersToFreeze(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the layersToFreeze property: Number of layers to freeze for the model.
withLayersToFreeze(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the layersToFreeze property: Number of layers to freeze for the model.
withLayersToFreeze(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the layersToFreeze property: Number of layers to freeze for the model.
withLayersToFreeze(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the layersToFreeze property: Number of layers to freeze for the model.
withLayersToFreeze(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the layersToFreeze property: Number of layers to freeze for the model.
withLeafDomainLabel(String) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the leafDomainLabel property: Leaf domain label of public endpoint.
withLearningRate(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the learningRate property: Initial learning rate.
withLearningRate(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the learningRate property: Initial learning rate.
withLearningRate(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the learningRate property: Initial learning rate.
withLearningRate(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the learningRate property: Initial learning rate.
withLearningRate(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the learningRate property: Initial learning rate.
withLearningRate(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the learningRate property: Initial learning rate.
withLearningRateScheduler(LearningRateScheduler) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the learningRateScheduler property: Type of learning rate scheduler.
withLearningRateScheduler(LearningRateScheduler) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the learningRateScheduler property: Type of learning rate scheduler.
withLearningRateScheduler(LearningRateScheduler) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the learningRateScheduler property: Type of learning rate scheduler.
withLearningRateScheduler(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the learningRateScheduler property: Type of learning rate scheduler.
withLearningRateScheduler(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the learningRateScheduler property: Type of learning rate scheduler.
withLearningRateScheduler(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the learningRateScheduler property: Type of learning rate scheduler.
withLimit(Long) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Set the limit property: The maximum permitted quota of the resource.
withLimit(Long) - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Set the limit property: The maximum permitted quota of the resource.
withLimits(CommandJobLimits) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the limits property: Command Job limit.
withLimits(SweepJobLimits) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the limits property: Sweep Job limit.
withLimits(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Set the limits property: Resource limits for this instance type.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(ImageLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Set the limitSettings property: [Required] Limit settings for the AutoML job.
withLimitSettings(NlpVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(NlpVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(NlpVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(NlpVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(TableVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(TableVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(TableVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the limitSettings property: Execution constraints for AutoMLJob.
withLimitSettings(TableVerticalLimitSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the limitSettings property: Execution constraints for AutoMLJob.
withLivenessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the livenessProbe property: Liveness probe monitors the health of the container regularly.
withLivenessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the livenessProbe property: Liveness probe monitors the health of the container regularly.
withLivenessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the livenessProbe property: Liveness probe monitors the health of the container regularly.
withLivenessRoute(Route) - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Set the livenessRoute property: The route to check the liveness of the inference server container.
withLoadBalancerSubnet(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the loadBalancerSubnet property: Load Balancer Subnet.
withLoadBalancerType(LoadBalancerType) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the loadBalancerType property: Load Balancer Type.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Set the location property: Specifies the location of the resource.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the location property: Specifies the location of the resource.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the location property: Specifies the location of the resource.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Set the location property: Specifies the location of the resource.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Set the location property: Region of workspace quota to be updated.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Set the location property: Same as workspace location.
withLocation(String) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryRegionArmDetails: Set the location property: The location where the registry exists.
withLoggingLevel(BatchLoggingLevel) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the loggingLevel property: Logging level for batch inference operation.
withLogOptions(HttpLogOptions) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Sets the logging options to the HTTP pipeline.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Set the logVerbosity property: Log verbosity for the job.
withLogVerbosity(LogVerbosity) - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Set the logVerbosity property: Log verbosity for the job.
withLun(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Set the lun property: The lun is used to uniquely identify each data disk.
withManagedIdentityType(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Set the managedIdentityType property: ManagedIdentityCredential identity type.
withManagedNetwork(ManagedNetworkSettingsInner) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the managedNetwork property: Managed Network settings for a machine learning workspace.
withManagedNetwork(ManagedNetworkSettingsInner) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the managedNetwork property: Managed Network settings for a machine learning workspace.
withManagedNetwork(ManagedNetworkSettingsInner) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the managedNetwork property: Managed Network settings for a machine learning workspace.
withManagedNetwork(ManagedNetworkSettingsInner) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithManagedNetwork: Specifies the managedNetwork property: Managed Network settings for a machine learning workspace..
withManagedNetwork(ManagedNetworkSettingsInner) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithManagedNetwork: Specifies the managedNetwork property: Managed Network settings for a machine learning workspace..
withManagedNetwork(ManagedNetworkSettingsInner) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the managedNetwork property: Managed Network settings for a machine learning workspace.
withManagedResourceGroup(ArmResourceId) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Set the managedResourceGroup property: ResourceId of the managed RG if the registry has system created resources.
withManagedResourceGroup(ArmResourceId) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Set the managedResourceGroup property: ResourceId of the managed RG if the registry has system created resources.
withManagedResourceGroup(ArmResourceId) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithManagedResourceGroup: Specifies the managedResourceGroup property: ResourceId of the managed RG if the registry has system created resources.
withMaterializationSettings(MaterializationSettings) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Set the materializationSettings property: Specifies the materialization settings.
withMaxConcurrencyPerInstance(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the maxConcurrencyPerInstance property: Indicates maximum number of parallelism per instance.
withMaxConcurrentRequestsPerInstance(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Set the maxConcurrentRequestsPerInstance property: The number of maximum concurrent requests per node allowed per deployment.
withMaxConcurrentTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Set the maxConcurrentTrials property: Maximum number of concurrent AutoML iterations.
withMaxConcurrentTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Set the maxConcurrentTrials property: Maximum Concurrent AutoML iterations.
withMaxConcurrentTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Set the maxConcurrentTrials property: Sweep Job max concurrent trials.
withMaxConcurrentTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the maxConcurrentTrials property: Maximum Concurrent iterations.
withMaxCoresPerTrial(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the maxCoresPerTrial property: Max cores per iteration.
withMaximum(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Set the maximum property: Gets or sets the maximum.
withMaxInstances(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Set the maxInstances property: The maximum number of instances that the deployment can scale to.
withMaxNodeCount(int) - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Set the maxNodeCount property: Max number of nodes to use.
withMaxNodeCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Set the maxNodeCount property: The maxNodeCount property.
withMaxQueueWait(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Set the maxQueueWait property: (Deprecated for Managed Online Endpoints) The maximum amount of time a request will stay in the queue in ISO 8601 format.
withMaxRetries(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Set the maxRetries property: Maximum retry count for a mini-batch.
withMaxSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the maxSize property: Maximum size of the image to be rescaled before feeding it to the backbone.
withMaxSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the maxSize property: Maximum size of the image to be rescaled before feeding it to the backbone.
withMaxTotalTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Set the maxTotalTrials property: Sweep Job max total trials.
withMaxTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Set the maxTrials property: Maximum number of AutoML iterations.
withMaxTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Set the maxTrials property: Number of AutoML iterations.
withMaxTrials(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the maxTrials property: Number of iterations.
withMemory(String) - Method in class com.azure.resourcemanager.machinelearning.models.ContainerResourceSettings: Set the memory property: Memory size request/limit for container.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Set the metadata property: Store user metadata for this connection.
withMetadata(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Set the metadata property: Store user metadata for this connection.
withMetric(CategoricalDataDriftMetric) - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetricThreshold: Set the metric property: [Required] The categorical data drift metric to calculate.
withMetric(CategoricalDataQualityMetric) - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetricThreshold: Set the metric property: [Required] The categorical data quality metric to calculate.
withMetric(CategoricalPredictionDriftMetric) - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetricThreshold: Set the metric property: [Required] The categorical prediction drift metric to calculate.
withMetric(FeatureAttributionMetric) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetricThreshold: Set the metric property: [Required] The feature attribution metric to calculate.
withMetric(NumericalDataDriftMetric) - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetricThreshold: Set the metric property: [Required] The numerical data drift metric to calculate.
withMetric(NumericalDataQualityMetric) - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetricThreshold: Set the metric property: [Required] The numerical data quality metric to calculate.
withMetric(NumericalPredictionDriftMetric) - Method in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetricThreshold: Set the metric property: [Required] The numerical prediction drift metric to calculate.
withMetric(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomMetricThreshold: Set the metric property: [Required] The user-defined metric to calculate.
withMetricThreshold(FeatureAttributionMetricThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Set the metricThreshold property: [Required] A list of metrics to calculate and their associated thresholds.
withMetricThresholds(List<CustomMetricThreshold>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Set the metricThresholds property: [Required] A list of metrics to calculate and their associated thresholds.
withMetricThresholds(List<DataDriftMetricThresholdBase>) - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Set the metricThresholds property: [Required] A list of metrics to calculate and their associated thresholds.
withMetricThresholds(List<DataQualityMetricThresholdBase>) - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Set the metricThresholds property: [Required] A list of metrics to calculate and their associated thresholds.
withMetricThresholds(List<PredictionDriftMetricThresholdBase>) - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Set the metricThresholds property: [Required] A list of metrics to calculate and their associated thresholds.
withMiniBatchSize(Long) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the miniBatchSize property: Size of the mini-batch passed to each batch invocation.
withMinimum(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Set the minimum property: Gets or sets the minimum.
withMinInstances(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Set the minInstances property: The minimum number of instances to always be present.
withMinNodeCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.AutoScaleProperties: Set the minNodeCount property: The minNodeCount property.
withMinNodeCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Set the minNodeCount property: Min number of nodes to use.
withMinSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the minSize property: Minimum size of the image to be rescaled before feeding it to the backbone.
withMinSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the minSize property: Minimum size of the image to be rescaled before feeding it to the backbone.
withMinutes(List<Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule: Set the minutes property: [Required] List of minutes for the schedule.
withMinutes(List<Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Set the minutes property: [Required] List of minutes for the schedule.
withMirrorTraffic(Map<String, Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Set the mirrorTraffic property: Percentage of traffic to be mirrored to each deployment without using returned scoring.
withMlFlowRegistryUri(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Set the mlFlowRegistryUri property: MLFlow Registry URI for the Registry.
withMlFlowRegistryUri(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Set the mlFlowRegistryUri property: MLFlow Registry URI for the Registry.
withMlFlowRegistryUri(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithMlFlowRegistryUri: Specifies the mlFlowRegistryUri property: MLFlow Registry URI for the Registry.
withMode(FeatureImportanceMode) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureImportanceSettings: Set the mode property: The mode of operation for computing feature importance.
withMode(FeaturizationMode) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the mode property: Featurization mode - User can keep the default 'Auto' mode and AutoML will take care of necessary transformation of the data in featurization phase.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(InputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Set the mode property: Input Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Set the mode property: Output Asset Delivery Mode.
withMode(OutputDeliveryMode) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Set the mode property: Output Asset Delivery Mode.
withModel(AssetReferenceBase) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the model property: Reference to the model asset for the endpoint deployment.
withModel(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the model property: The URI path to the model.
withModel(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the model property: The URI path to the model.
withModel(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the model property: The URI path to the model.
withModelId(String) - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionProperties: Set the modelId property: [Required] Target Marketplace Model ID to create a Marketplace Subscription for.
withModelId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelSettings: Set the modelId property: The unique model identifier that this ServerlessEndpoint should provision.
withModelId(String) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringTarget: Set the modelId property: Reference to the model asset targeted by this monitor.
withModelMountPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the modelMountPath property: The path to mount the model in custom container.
withModelMountPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the modelMountPath property: The path to mount the model in custom container.
withModelMountPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the modelMountPath property: The path to mount the model in custom container.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the modelName property: Name of the model to use for training.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the modelName property: Name of the model to use for training.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the modelName property: Name of the model to use for training.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the modelName property: Name of the model to use for training.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the modelName property: Name of the model to use for training.
withModelName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the modelName property: Name of the model to use for training.
withModelSettings(ImageModelSettingsClassification) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the modelSettings property: Settings used for training the model.
withModelSettings(ImageModelSettingsClassification) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Set the modelSettings property: Settings used for training the model.
withModelSettings(ImageModelSettingsClassification) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the modelSettings property: Settings used for training the model.
withModelSettings(ImageModelSettingsObjectDetection) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the modelSettings property: Settings used for training the model.
withModelSettings(ImageModelSettingsObjectDetection) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the modelSettings property: Settings used for training the model.
withModelSettings(ImageModelSettingsObjectDetection) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Set the modelSettings property: Settings used for training the model.
withModelSettings(ModelSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointProperties: Set the modelSettings property: The model settings (model id) for the model being serviced on the ServerlessEndpoint.
withModelSize(ModelSize) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the modelSize property: Model size.
withModelSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the modelSize property: Model size.
withModelType(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Set the modelType property: The storage format for this entity.
withModelUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Set the modelUri property: The URI path to the model contents.
withMomentum(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMomentum(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMomentum(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMomentum(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMomentum(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMomentum(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the momentum property: Value of momentum when optimizer is 'sgd'.
withMonitorDefinition(MonitorDefinition) - Method in class com.azure.resourcemanager.machinelearning.models.CreateMonitorAction: Set the monitorDefinition property: [Required] Defines the monitor.
withMonitoringTarget(MonitoringTarget) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorDefinition: Set the monitoringTarget property: The entities targeted by the monitor.
withMonthDays(List<Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule: Set the monthDays property: List of month days for the schedule.
withMonthDays(List<Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Set the monthDays property: List of month days for the schedule.
withMountAction(MountAction) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the mountAction property: Mount Action.
withMountedOn(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the mountedOn property: The time when the disk mounted.
withMountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the mountName property: name of the ComputeInstance data mount.
withMountPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the mountPath property: Path of this data mount.
withMountState(MountState) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the mountState property: Mount state.
withMultiScale(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the multiScale property: Enable multi-scale image by varying image size by +/- 50%.
withMultiScale(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the multiScale property: Enable multi-scale image by varying image size by +/- 50%.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Set the name property: Name of the ComputeInstance container.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Set the name property: name of environment.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Set the name property: Name of the Custom Service.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Set the name property: Name of the Endpoint.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Set the name property: The name of the SKU.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Set the name property: Unique name of the private link.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Set the name property: The name of the SKU.
withName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SkuSetting: Set the name property: [Required] The name of the SKU.
withNamespace(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the namespace property: Compute namespace.
withNCrossValidations(NCrossValidations) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.
withNCrossValidations(NCrossValidations) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.
withNCrossValidations(NCrossValidations) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.
withNCrossValidations(NCrossValidations) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided.
withNesterov(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNesterov(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNesterov(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNesterov(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNesterov(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNesterov(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the nesterov property: Enable nesterov when optimizer is 'sgd'.
withNetwork(Network) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceContainer: Set the network property: network of this container.
withNetworkSecurityRuleResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the networkSecurityRuleResults property: The networkSecurityRuleResults property.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Set the nextLink property: The link to the next page of BatchDeployment objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Set the nextLink property: The link to the next page of BatchEndpoint objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of CodeContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Set the nextLink property: The link to the next page of CodeVersion objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of ComponentContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Set the nextLink property: The link to the next page of ComponentVersion objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of DataContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Set the nextLink property: The link to the next page of Datastore objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Set the nextLink property: The link to the next page of DataVersionBase objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of EnvironmentContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Set the nextLink property: The link to the next page of EnvironmentVersion objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureResourceArmPaginatedResult: Set the nextLink property: The link to the next page of Feature objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of FeaturesetContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionResourceArmPaginatedResult: Set the nextLink property: The link to the next page of FeaturesetVersion objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of FeaturestoreEntityContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionResourceArmPaginatedResult: Set the nextLink property: The link to the next page of FeaturestoreEntityVersion objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Set the nextLink property: The link to the next page of JobBase objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionResourceArmPaginatedResult: Set the nextLink property: The link to the next page of MarketplaceSubscription objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Set the nextLink property: The link to the next page of ModelContainer objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Set the nextLink property: The link to the next page of ModelVersion objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Set the nextLink property: The link to the next page of OnlineDeployment objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Set the nextLink property: The link to the next page of OnlineEndpoint objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRuleListResult: Set the nextLink property: The link to the next page constructed using the continuationToken.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Set the nextLink property: A continuation link (absolute URI) to the next page of results in the list.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryTrackedResourceArmPaginatedResult: Set the nextLink property: The link to the next page of Registry objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleResourceArmPaginatedResult: Set the nextLink property: The link to the next page of Schedule objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointTrackedResourceArmPaginatedResult: Set the nextLink property: The link to the next page of ServerlessEndpoint objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Set the nextLink property: The link to the next page of SkuResource objects.
withNextLink(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Set the nextLink property: The URI that can be used to request the next list of machine learning workspaces.
withNmsIouThreshold(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the nmsIouThreshold property: IOU threshold used during inference in NMS post processing.
withNmsIouThreshold(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the nmsIouThreshold property: IOU threshold used during inference in NMS post processing.
withNocopy(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.VolumeOptions: Set the nocopy property: Indicate whether volume is nocopy.
withNodeCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the nodeCount property: The number of compute nodes currently assigned to the compute.
withNodeIdleTimeBeforeScaleDown(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettings: Set the nodeIdleTimeBeforeScaleDown property: Node Idle Time before scaling down amlCompute.
withNodes(Nodes) - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Set the nodes property: Nodes that user would like to start the service on.
withNodeSelector(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Set the nodeSelector property: Node Selector.
withNodeSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the nodeSize property: Node size.
withNodeSizeFamily(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the nodeSizeFamily property: Node size family.
withNotebookPreparationError(NotebookPreparationError) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Set the notebookPreparationError property: The error that occurs when preparing notebook.
withNotebookServerPort(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the notebookServerPort property: Notebook server port open for ssh connections.
withNotification(NotificationSetting) - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Set the notification property: Specifies the notification details.
withNotificationSetting(NotificationSetting) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the notificationSetting property: Notification setting for the job.
withNotificationSetting(NotificationSetting) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the notificationSetting property: Notification setting for the job.
withNotificationSetting(NotificationSetting) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Set the notificationSetting property: Notification setting for the job.
withNotificationSetting(NotificationSetting) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the notificationSetting property: Notification setting for the job.
withNotificationSetting(NotificationSetting) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the notificationSetting property: Notification setting for the job.
withNotificationSetting(NotificationSetting) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the notificationSetting property: Notification setting for the job.
withNotificationTypes(List<MonitoringNotificationType>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Set the notificationTypes property: The current notification mode for this signal.
withNotificationTypes(List<MonitoringNotificationType>) - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Set the notificationTypes property: The current notification mode for this signal.
withNotificationTypes(List<MonitoringNotificationType>) - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Set the notificationTypes property: The current notification mode for this signal.
withNotificationTypes(List<MonitoringNotificationType>) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Set the notificationTypes property: The current notification mode for this signal.
withNotificationTypes(List<MonitoringNotificationType>) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalBase: Set the notificationTypes property: The current notification mode for this signal.
withNotificationTypes(List<MonitoringNotificationType>) - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Set the notificationTypes property: The current notification mode for this signal.
withNsg(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the nsg property: Setting for diagnosing network security group.
withNumberOfEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the numberOfEpochs property: Number of training epochs.
withNumberOfEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the numberOfEpochs property: Number of training epochs.
withNumberOfEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the numberOfEpochs property: Number of training epochs.
withNumberOfEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the numberOfEpochs property: Number of training epochs.
withNumberOfEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the numberOfEpochs property: Number of training epochs.
withNumberOfEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the numberOfEpochs property: Number of training epochs.
withNumberOfWorkers(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the numberOfWorkers property: Number of data loader workers.
withNumberOfWorkers(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the numberOfWorkers property: Number of data loader workers.
withNumberOfWorkers(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the numberOfWorkers property: Number of data loader workers.
withNumberOfWorkers(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the numberOfWorkers property: Number of data loader workers.
withNumberOfWorkers(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the numberOfWorkers property: Number of data loader workers.
withNumberOfWorkers(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the numberOfWorkers property: Number of data loader workers.
withObjectId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssignedUser: Set the objectId property: User’s AAD Object Id.
withObjectId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Set the objectId property: Specifies a user-assigned identity by object ID.
withObjective(Objective) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the objective property: [Required] Optimization objective.
withOfflineStoreConnectionName(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureStoreSettings: Set the offlineStoreConnectionName property: The offlineStoreConnectionName property.
withOneLakeWorkspaceName(String) - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Set the oneLakeWorkspaceName property: [Required] OneLake workspace name.
withOnlineStoreConnectionName(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureStoreSettings: Set the onlineStoreConnectionName property: The onlineStoreConnectionName property.
withOperationName(OperationName) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Set the operationName property: Name of the last operation.
withOperationStatus(OperationStatus) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Set the operationStatus property: Operation status.
withOperationTime(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Set the operationTime property: Time of the last operation.
withOperationTrigger(OperationTrigger) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceLastOperation: Set the operationTrigger property: Trigger of operation.
withOptimizer(StochasticOptimizer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the optimizer property: Type of optimizer.
withOptimizer(StochasticOptimizer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the optimizer property: Type of optimizer.
withOptimizer(StochasticOptimizer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the optimizer property: Type of optimizer.
withOptimizer(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the optimizer property: Type of optimizer.
withOptimizer(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the optimizer property: Type of optimizer.
withOptimizer(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the optimizer property: Type of optimizer.
withOsType(OperatingSystemType) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the osType property: The OS type of the environment.
withOsType(OsType) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the osType property: Compute OS Type.
withOsType(VMPriceOSType) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Set the osType property: Operating system type used by the VM.
withOtherResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the otherResults property: The otherResults property.
withOthers(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the others property: Setting for diagnosing unclassified category of problems.
withOutboundRules(Map<String, OutboundRule>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner: Set the outboundRules property: Dictionary of <OutboundRule>.
withOutputAction(BatchOutputAction) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the outputAction property: Indicates how the output will be organized.
withOutputFileName(String) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the outputFileName property: Customized output file name for append_row output action.
withOutputs(Map<String, JobOutput>) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the outputs property: Mapping of output data bindings used in the job.
withOutputs(Map<String, JobOutput>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the outputs property: Mapping of output data bindings used in the job.
withOutputs(Map<String, JobOutput>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the outputs property: Outputs for the pipeline job.
withOutputs(Map<String, JobOutput>) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the outputs property: Mapping of output data bindings used in the job.
withOutputs(Map<String, JobOutput>) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the outputs property: Mapping of output data bindings used in the job.
withOverwriteExistingDomain(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the overwriteExistingDomain property: Indicates whether to overwrite existing domain label.
withParameters(Object) - Method in class com.azure.resourcemanager.machinelearning.models.ColumnTransformer: Set the parameters property: Different properties to be passed to transformer.
withParameterServerCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Set the parameterServerCount property: Number of parameter server tasks.
withPassword(String) - Method in class com.azure.resourcemanager.machinelearning.models.DockerCredential: Set the password property: DockerCredential user password.
withPassword(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Set the password property: Password of admin account.
withPassword(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Set the password property: The password property.
withPassword(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionUsernamePassword: Set the password property: The password property.
withPasswords(List<Password>) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryListCredentialsResult: Set the passwords property: The passwords property.
withPat(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPersonalAccessToken: Set the pat property: The pat property.
withPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataPathAssetReference: Set the path property: The path of the file/directory in the datastore.
withPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetSpecification: Set the path property: Specifies the spec path.
withPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.OutputPathAssetReference: Set the path property: The path of the file/directory in the job output.
withPath(String) - Method in class com.azure.resourcemanager.machinelearning.models.Route: Set the path property: [Required] The path for the route.
withPendingUploadId(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PendingUploadResponseDtoInner: Set the pendingUploadId property: ID for this upload request.
withPendingUploadId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PendingUploadRequestDto: Set the pendingUploadId property: If PendingUploadId = null then random guid will be used.
withPendingUploadType(PendingUploadType) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PendingUploadResponseDtoInner: Set the pendingUploadType property: TemporaryBlobReference is the only supported type.
withPendingUploadType(PendingUploadType) - Method in class com.azure.resourcemanager.machinelearning.models.PendingUploadRequestDto: Set the pendingUploadType property: TemporaryBlobReference is the only supported type.
withPeriod(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Set the period property: The length of time between probes in ISO 8601 format.
withPersonalComputeInstanceSettings(PersonalComputeInstanceSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the personalComputeInstanceSettings property: Settings for a personal compute instance.
withPolicy(HttpPipelinePolicy) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Adds the pipeline policy to the HTTP pipeline.
withPollingInterval(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Set the pollingInterval property: The polling interval in ISO 8691 format.
withPoolName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the poolName property: Pool name.
withPort(int) - Method in class com.azure.resourcemanager.machinelearning.models.Route: Set the port property: [Required] The port for the route.
withPort(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpointDetail: Set the port property: The port property.
withPort(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Set the port property: Port for endpoint.
withPortRanges(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Set the portRanges property: The portRanges property.
withPositiveLabel(String) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the positiveLabel property: Positive label for binary metrics calculation.
withPreprocessingComponentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Set the preprocessingComponentId property: Reference to the component asset used to preprocess the data.
withPreprocessingComponentId(String) - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Set the preprocessingComponentId property: Reference to the component asset used to preprocess the data.
withPrimaryKey(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Set the primaryKey property: The primary key.
withPrimaryMetric(ClassificationMultilabelPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the primaryMetric property: Primary metric to optimize for this task.
withPrimaryMetric(ClassificationPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the primaryMetric property: Primary metric for the task.
withPrimaryMetric(ClassificationPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the primaryMetric property: Primary metric to optimize for this task.
withPrimaryMetric(ClassificationPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the primaryMetric property: Primary metric for Text-Classification task.
withPrimaryMetric(ForecastingPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the primaryMetric property: Primary metric for forecasting task.
withPrimaryMetric(InstanceSegmentationPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the primaryMetric property: Primary metric to optimize for this task.
withPrimaryMetric(ObjectDetectionPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the primaryMetric property: Primary metric to optimize for this task.
withPrimaryMetric(RegressionPrimaryMetrics) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the primaryMetric property: Primary metric for regression task.
withPrimaryMetric(String) - Method in class com.azure.resourcemanager.machinelearning.models.Objective: Set the primaryMetric property: [Required] Name of the metric to optimize.
withPrimaryUserAssignedIdentity(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
withPrimaryUserAssignedIdentity(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
withPrimaryUserAssignedIdentity(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
withPrimaryUserAssignedIdentity(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithPrimaryUserAssignedIdentity: Specifies the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity..
withPrimaryUserAssignedIdentity(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithPrimaryUserAssignedIdentity: Specifies the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity..
withPrimaryUserAssignedIdentity(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the primaryUserAssignedIdentity property: The user assigned identity resource id that represents the workspace identity.
withPrivateEndpoint(PrivateEndpoint) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the privateEndpoint property: The resource of private end point.
withPrivateEndpoint(PrivateEndpoint) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Set the privateEndpoint property: The resource of private end point.
withPrivateEndpoint(PrivateEndpoint) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithPrivateEndpoint: Specifies the privateEndpoint property: The resource of private end point..
withPrivateEndpoint(PrivateEndpoint) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.UpdateStages.WithPrivateEndpoint: Specifies the privateEndpoint property: The resource of private end point..
withPrivateEndpoint(PrivateEndpointResource) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties: Set the privateEndpoint property: The PE network resource that is linked to this PE connection.
withPrivateEndpoint(PrivateEndpointResource) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Set the privateEndpoint property: The PE network resource that is linked to this PE connection.
withPrivateKeyData(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Set the privateKeyData property: Private key data.
withPrivateLinkResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Set the privateLinkResourceId property: The resource id that private link links to.
withPrivateLinkResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Set the privateLinkResourceId property: The resource id that private link links to.
withPrivateLinkServiceConnectionState(PrivateLinkServiceConnectionState) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider.
withPrivateLinkServiceConnectionState(PrivateLinkServiceConnectionState) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionProperties: Set the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider.
withPrivateLinkServiceConnectionState(PrivateLinkServiceConnectionState) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithPrivateLinkServiceConnectionState: Specifies the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider..
withPrivateLinkServiceConnectionState(PrivateLinkServiceConnectionState) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.UpdateStages.WithPrivateLinkServiceConnectionState: Specifies the privateLinkServiceConnectionState property: A collection of information about the state of the connection between service consumer and provider..
withPrivileged(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.Docker: Set the privileged property: Indicate whether container shall run in privileged or non-privileged mode.
withProcessCountPerInstance(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.Mpi: Set the processCountPerInstance property: Number of processes per MPI node.
withProcessCountPerInstance(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.PyTorch: Set the processCountPerInstance property: Number of processes per node.
withProductionData(MonitoringInputDataBase) - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Set the productionData property: [Required] The data which drift will be calculated for.
withProductionData(MonitoringInputDataBase) - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Set the productionData property: [Required] The data produced by the production service which drift will be calculated for.
withProductionData(MonitoringInputDataBase) - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Set the productionData property: [Required] The data which drift will be calculated for.
withProductionData(List<MonitoringInputDataBase>) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Set the productionData property: [Required] The data which drift will be calculated for.
withPropagation(String) - Method in class com.azure.resourcemanager.machinelearning.models.BindOptions: Set the propagation property: Type of Bind Option.
withProperties(AksSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Set the properties property: AKS properties.
withProperties(AksSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchema: Set the properties property: AKS properties.
withProperties(AmlComputeProperties) - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Set the properties property: Properties of AmlCompute.
withProperties(AmlComputeProperties) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeSchema: Set the properties property: Properties of AmlCompute.
withProperties(BatchDeploymentProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(BatchDeploymentProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(BatchEndpointProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(BatchEndpointProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(CodeContainerProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeContainerInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(CodeContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(CodeContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeContainer.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(CodeVersionProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.CodeVersionInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(CodeVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(CodeVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.CodeVersion.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ComponentContainerProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentContainerInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(ComponentContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ComponentContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentContainer.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ComponentVersionProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComponentVersionInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(ComponentVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ComponentVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.ComponentVersion.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(Compute) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Set the properties property: Compute properties.
withProperties(Compute) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithProperties: Specifies the properties property: Compute properties.
withProperties(Compute) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeResourceSchema: Set the properties property: Compute properties.
withProperties(ComputeInstanceProperties) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Set the properties property: Properties of ComputeInstance.
withProperties(ComputeInstanceProperties) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSchema: Set the properties property: Properties of ComputeInstance.
withProperties(DatabricksProperties) - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Set the properties property: Properties of Databricks.
withProperties(DatabricksProperties) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksSchema: Set the properties property: Properties of Databricks.
withProperties(DataContainerProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataContainerInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(DataContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(DataContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.DataContainer.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(DataLakeAnalyticsSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Set the properties property: The properties property.
withProperties(DataLakeAnalyticsSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalyticsSchema: Set the properties property: The properties property.
withProperties(DatastoreProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DatastoreInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(DatastoreProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(DatastoreProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(DataVersionBaseProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DataVersionBaseInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(DataVersionBaseProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(DataVersionBaseProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.DataVersionBase.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(EnvironmentContainerProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentContainerInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(EnvironmentContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(EnvironmentContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentContainer.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(EnvironmentVersionProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EnvironmentVersionInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(EnvironmentVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(EnvironmentVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.EnvironmentVersion.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(FeatureProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeatureInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(FeaturesetContainerProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetContainerInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(FeaturesetContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(FeaturesetContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetContainer.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(FeaturesetVersionProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturesetVersionInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(FeaturesetVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(FeaturesetVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturesetVersion.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(FeaturestoreEntityContainerProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityContainerInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(FeaturestoreEntityContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(FeaturestoreEntityContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainer.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(FeaturestoreEntityVersionProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.FeaturestoreEntityVersionInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(FeaturestoreEntityVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(FeaturestoreEntityVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersion.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(FqdnEndpointsProperties) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnEndpoints: Set the properties property: The properties property.
withProperties(HDInsightProperties) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Set the properties property: HDInsight compute properties.
withProperties(HDInsightProperties) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightSchema: Set the properties property: HDInsight compute properties.
withProperties(JobBaseProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.JobBaseInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(JobBaseProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(JobBaseProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.JobBase.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(KubernetesProperties) - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Set the properties property: Properties of Kubernetes.
withProperties(KubernetesProperties) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesSchema: Set the properties property: Properties of Kubernetes.
withProperties(MarketplaceSubscriptionProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.MarketplaceSubscriptionInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(MarketplaceSubscriptionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(MarketplaceSubscriptionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.MarketplaceSubscription.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ModelContainerProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelContainerInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(ModelContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ModelContainerProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelContainer.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ModelVersionProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ModelVersionInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(ModelVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ModelVersionProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.ModelVersion.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(OnlineDeploymentProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(OnlineDeploymentProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(OnlineEndpointProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(OnlineEndpointProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(OutboundRule) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OutboundRuleBasicResourceInner: Set the properties property: Outbound Rule for the managed network of a machine learning workspace.
withProperties(OutboundRule) - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource.DefinitionStages.WithProperties: Specifies the properties property: Outbound Rule for the managed network of a machine learning workspace..
withProperties(OutboundRule) - Method in interface com.azure.resourcemanager.machinelearning.models.OutboundRuleBasicResource.UpdateStages.WithProperties: Specifies the properties property: Outbound Rule for the managed network of a machine learning workspace..
withProperties(PartialBatchDeployment) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.UpdateStages.WithProperties: Specifies the properties property: Additional attributes of the entity..
withProperties(PartialBatchDeployment) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties: Set the properties property: Additional attributes of the entity.
withProperties(ScaleSettingsInformation) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ClusterUpdateProperties: Set the properties property: Properties of ClusterUpdate.
withProperties(ScaleSettingsInformation) - Method in class com.azure.resourcemanager.machinelearning.models.ClusterUpdateParameters: Set the properties property: Properties of ClusterUpdate.
withProperties(ScaleSettingsInformation) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.UpdateStages.WithProperties: Specifies the properties property: Properties of ClusterUpdate.
withProperties(ScheduleProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ScheduleInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(ScheduleProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ScheduleProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.Schedule.UpdateStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(ServerlessEndpointProperties) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Set the properties property: [Required] Additional attributes of the entity.
withProperties(ServerlessEndpointProperties) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.DefinitionStages.WithProperties: Specifies the properties property: [Required] Additional attributes of the entity..
withProperties(SynapseSparkProperties) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Set the properties property: The properties property.
withProperties(VirtualMachineSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Set the properties property: The properties property.
withProperties(VirtualMachineSchemaProperties) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchema: Set the properties property: The properties property.
withProperties(WorkspaceConnectionPropertiesV2) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionPropertiesV2BasicResourceInner: Set the properties property: The properties property.
withProperties(WorkspaceConnectionPropertiesV2) - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResource.DefinitionStages.WithProperties: Specifies the properties property: The properties property..
withProperties(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentResourceConfiguration: Set the properties property: Additional properties bag.
withProperties(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.JobResourceConfiguration: Set the properties property: Additional properties bag.
withProperties(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceConfiguration: Set the properties property: Additional properties bag.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointPropertiesBaseInner: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointProperties: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomMonitoringSignal: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EndpointDeploymentPropertiesBase: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Set the properties property: Specifies the properties.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.JobService: Set the properties property: Additional properties to set on the endpoint.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringSignalBase: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Set the properties property: Property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the properties property: The asset property dictionary.
withProperties(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the properties property: The asset property dictionary.
withPropertyBag(Object) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the propertyBag property: A property bag containing additional properties.
withProtocol(Protocol) - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Set the protocol property: Protocol over which communication will happen over this endpoint.
withProtocol(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the protocol property: Protocol used to communicate with the storage account.
withProtocol(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the protocol property: Protocol used to communicate with the storage account.
withProtocol(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the protocol property: Protocol used to communicate with the storage account.
withProtocol(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Set the protocol property: The protocol property.
withProvisioningState(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties: Set the provisioningState property: One of null, "Succeeded", "Provisioning", "Failed".
withProvisioningState(String) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Set the provisioningState property: One of null, "Succeeded", "Provisioning", "Failed".
withProvisioningStatus(ScheduleProvisioningState) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Set the provisioningStatus property: The current deployment state of schedule.
withPublicKeyData(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Set the publicKeyData property: Public key data.
withPublicNetworkAccess(PublicNetworkAccess) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the publicNetworkAccess property: Whether requests from Public Network are allowed.
withPublicNetworkAccess(PublicNetworkAccess) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the publicNetworkAccess property: Whether requests from Public Network are allowed.
withPublicNetworkAccess(PublicNetworkAccess) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the publicNetworkAccess property: Whether requests from Public Network are allowed.
withPublicNetworkAccess(PublicNetworkAccess) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithPublicNetworkAccess: Specifies the publicNetworkAccess property: Whether requests from Public Network are allowed..
withPublicNetworkAccess(PublicNetworkAccess) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithPublicNetworkAccess: Specifies the publicNetworkAccess property: Whether requests from Public Network are allowed..
withPublicNetworkAccess(PublicNetworkAccess) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the publicNetworkAccess property: Whether requests from Public Network are allowed.
withPublicNetworkAccess(PublicNetworkAccessType) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Set the publicNetworkAccess property: Set to "Enabled" for endpoints that should allow public access when Private Link is enabled.
withPublicNetworkAccess(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Set the publicNetworkAccess property: Is the Registry accessible from the internet? Possible values: "Enabled" or "Disabled".
withPublicNetworkAccess(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Set the publicNetworkAccess property: Is the Registry accessible from the internet? Possible values: "Enabled" or "Disabled".
withPublicNetworkAccess(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithPublicNetworkAccess: Specifies the publicNetworkAccess property: Is the Registry accessible from the internet? Possible values: "Enabled" or "Disabled".
withPublished(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Set the published property: Port over which the application is exposed from container.
withPyFiles(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the pyFiles property: Python files used in the job.
withQueueSettings(QueueSettings) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the queueSettings property: Queue settings for the job.
withQueueSettings(QueueSettings) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the queueSettings property: Queue settings for the job.
withQueueSettings(QueueSettings) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the queueSettings property: Queue settings for the job.
withQueueSettings(QueueSettings) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the queueSettings property: Queue settings for the job.
withRandomSeed(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the randomSeed property: Random seed to be used when using deterministic training.
withRandomSeed(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the randomSeed property: Random seed to be used when using deterministic training.
withRandomSeed(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the randomSeed property: Random seed to be used when using deterministic training.
withRandomSeed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the randomSeed property: Random seed to be used when using deterministic training.
withRandomSeed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the randomSeed property: Random seed to be used when using deterministic training.
withRandomSeed(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the randomSeed property: Random seed to be used when using deterministic training.
withReadinessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the readinessProbe property: Readiness probe validates if the container is ready to serve traffic.
withReadinessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the readinessProbe property: Readiness probe validates if the container is ready to serve traffic.
withReadinessProbe(ProbeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the readinessProbe property: Readiness probe validates if the container is ready to serve traffic.
withReadinessRoute(Route) - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Set the readinessRoute property: The route to check the readiness of the inference server container.
withReadOnly(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Set the readOnly property: Indicate whether to mount volume as readOnly.
withRecurrence(Recurrence) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Set the recurrence property: Required if triggerType is Recurrence.
withReference(String) - Method in class com.azure.resourcemanager.machinelearning.models.Image: Set the reference property: Image reference.
withReferenceData(MonitoringInputDataBase) - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMonitoringSignal: Set the referenceData property: [Required] The data to calculate drift against.
withReferenceData(MonitoringInputDataBase) - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMonitoringSignal: Set the referenceData property: [Required] The data to calculate drift against.
withReferenceData(MonitoringInputDataBase) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionDriftMonitoringSignal: Set the referenceData property: [Required] The data to calculate drift against.
withReferenceData(MonitoringInputDataBase) - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMonitoringSignal: Set the referenceData property: [Required] The data to calculate drift against.
withReferencedUris(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the referencedUris property: Uris referenced in the MLTable definition (required for lineage).
withRefreshAfterTimeUtc(Long) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Set the refreshAfterTimeUtc property: Refresh access token after time (UTC).
withRefreshToken(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Set the refreshToken property: Required by GoogleBigQuery, GoogleAdWords, Hubspot, QuickBooks, Square, Xero, Zoho where user needs to get RefreshToken offline.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(Region) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegion(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithLocation: Specifies the region for the resource.
withRegionDetails(List<RegistryRegionArmDetails>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Set the regionDetails property: Details of each region the registry is in.
withRegionDetails(List<RegistryRegionArmDetails>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Set the regionDetails property: Details of each region the registry is in.
withRegionDetails(List<RegistryRegionArmDetails>) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithRegionDetails: Specifies the regionDetails property: Details of each region the registry is in.
withRegistryName(String) - Method in class com.azure.resourcemanager.machinelearning.models.DestinationAsset: Set the registryName property: Destination registry name.
withRegistryPrivateEndpointConnections(List<RegistryPrivateEndpointConnection>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Set the registryPrivateEndpointConnections property: Private endpoint connections info used for pending connections in private link portal.
withRegistryPrivateEndpointConnections(List<RegistryPrivateEndpointConnection>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryProperties: Set the registryPrivateEndpointConnections property: Private endpoint connections info used for pending connections in private link portal.
withRegistryPrivateEndpointConnections(List<RegistryPrivateEndpointConnection>) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithRegistryPrivateEndpointConnections: Specifies the registryPrivateEndpointConnections property: Private endpoint connections info used for pending connections in private link portal.
withRegistryPrivateLinkServiceConnectionState(RegistryPrivateLinkServiceConnectionState) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryPrivateEndpointConnectionProperties: Set the registryPrivateLinkServiceConnectionState property: The connection state.
withRegistryPrivateLinkServiceConnectionState(RegistryPrivateLinkServiceConnectionState) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateEndpointConnection: Set the registryPrivateLinkServiceConnectionState property: The connection state.
withRelayConnectionString(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the relayConnectionString property: Relay connection string.
withRemoteLoginPortPublicAccess(RemoteLoginPortPublicAccess) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the remoteLoginPortPublicAccess property: State of the public SSH port.
withRequestLogging(RequestLogging) - Method in class com.azure.resourcemanager.machinelearning.models.DataCollector: Set the requestLogging property: The request logging configuration for mdc, it includes advanced logging settings for all collections.
withRequestMessage(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Set the requestMessage property: Request message.
withRequestMessage(String) - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Set the requestMessage property: Request message.
withRequests(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchemaResources: Set the requests property: Resource requests for this instance type.
withRequestSettings(OnlineRequestSettings) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the requestSettings property: Request settings for the deployment.
withRequestSettings(OnlineRequestSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the requestSettings property: Request settings for the deployment.
withRequestSettings(OnlineRequestSettings) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the requestSettings property: Request settings for the deployment.
withRequestTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineRequestSettings: Set the requestTimeout property: The scoring timeout in ISO 8601 format.
withRequiredZoneNames(List<String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceProperties: Set the requiredZoneNames property: The private link resource Private link DNS zone name.
withRequiredZoneNames(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Set the requiredZoneNames property: The private link resource Private link DNS zone name.
withResource(MaterializationComputeResource) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Set the resource property: Specifies the compute resource settings.
withResource(MaterializationComputeResource) - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Set the resource property: Specifies the compute resource settings.
withResourceGroup(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the resourceGroup property: Azure Resource Group name.
withResourceGroup(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the resourceGroup property: Azure Resource Group name.
withResourceGroup(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the resourceGroup property: Azure Resource Group name.
withResourceGroup(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDatastore: Set the resourceGroup property: Azure Resource Group name.
withResourceGroup(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the resourceGroup property: Azure Resource Group name.
withResourceGroup(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the resourceGroup property: Name of the resource group in which workspace is located.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.NotebookResourceInfoInner: Set the resourceId property: the data plane resourceId that used to initialize notebook component.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.Aks: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AmlCompute: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ArmResourceId: Set the resourceId property: Arm ResourceId is in the format "/subscriptions/{SubscriptionId}/resourceGroups/{ResourceGroupName}/providers/Microsoft.Storage/storageAccounts/{StorageAccountName}" or "/subscriptions/{SubscriptionId}/resourceGroups/{ResourceGroupName}/providers/Microsoft.ContainerRegistry/registries/{AcrName}".
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.Compute: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstance: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.Databricks: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataFactory: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.DataLakeAnalytics: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsight: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.Kubernetes: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentity: Set the resourceId property: Specifies a user-assigned identity by ARM resource ID.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSpark: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachine: Set the resourceId property: ARM resource id of the underlying compute.
withResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionManagedIdentity: Set the resourceId property: The resourceId property.
withResourceLock(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the resourceLock property: Setting for diagnosing resource lock.
withResourceLockResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the resourceLockResults property: The resourceLockResults property.
withResources(DeploymentResourceConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the resources property: Indicates compute configuration for the job.
withResources(InstanceTypeSchemaResources) - Method in class com.azure.resourcemanager.machinelearning.models.InstanceTypeSchema: Set the resources property: Resource requests/limits for this instance type.
withResources(JobResourceConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the resources property: Compute Resource configuration for the job.
withResources(JobResourceConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the resources property: Compute Resource configuration for the job.
withResources(JobResourceConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.TrialComponent: Set the resources property: Compute Resource configuration for the job.
withResources(SparkResourceConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the resources property: Compute Resource configuration for the job.
withResourceUrl(String) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the resourceUrl property: Resource the service principal has access to.
withResourceUrl(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Set the resourceUrl property: Resource the service principal has access to.
withRetailPrice(double) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Set the retailPrice property: The price charged for using the VM.
withRetryOptions(RetryOptions) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Sets the retry options for the HTTP pipeline retry policy.
withRetryPolicy(RetryPolicy) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Sets the retry policy to the HTTP pipeline.
withRetrySettings(BatchRetrySettings) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentProperties: Set the retrySettings property: Retry Settings for the batch inference operation.
withRollingRate(RollingRateType) - Method in class com.azure.resourcemanager.machinelearning.models.DataCollector: Set the rollingRate property: When model data is collected to blob storage, we need to roll the data to different path to avoid logging all of them in a single blob file.
withRule(RandomSamplingAlgorithmRule) - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Set the rule property: The specific type of random algorithm.
withRuntime(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceVersion: Set the runtime property: Runtime of compute instance.
withRuntimeVersion(String) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorServerlessSparkCompute: Set the runtimeVersion property: [Required] The Spark runtime version.
withRuntimeVersion(String) - Method in class com.azure.resourcemanager.machinelearning.models.SparkResourceConfiguration: Set the runtimeVersion property: Version of spark runtime used for the job.
withSamplingAlgorithm(SamplingAlgorithm) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the samplingAlgorithm property: [Required] The hyperparameter sampling algorithm.
withSamplingAlgorithm(SamplingAlgorithmType) - Method in class com.azure.resourcemanager.machinelearning.models.ImageSweepSettings: Set the samplingAlgorithm property: [Required] Type of the hyperparameter sampling algorithms.
withSamplingRate(Double) - Method in class com.azure.resourcemanager.machinelearning.models.Collection: Set the samplingRate property: The sampling rate for collection.
withSas(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionSharedAccessSignature: Set the sas property: The sas property.
withSasToken(String) - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreSecrets: Set the sasToken property: Storage container SAS token.
withSasUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.SasCredential: Set the sasUri property: Full SAS Uri, including the storage, container/blob path and SAS token.
withSasUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.SasCredentialDto: Set the sasUri property: Full SAS Uri, including the storage, container/blob path and SAS token.
withScaleSettings(OnlineScaleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesOnlineDeployment: Set the scaleSettings property: Scale settings for the deployment.
withScaleSettings(OnlineScaleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedOnlineDeployment: Set the scaleSettings property: Scale settings for the deployment.
withScaleSettings(OnlineScaleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentProperties: Set the scaleSettings property: Scale settings for the deployment.
withScaleSettings(ScaleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the scaleSettings property: Scale settings for AML Compute.
withScaleSettings(ScaleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ScaleSettingsInformation: Set the scaleSettings property: scale settings for AML Compute.
withScaleType(SkuScaleType) - Method in class com.azure.resourcemanager.machinelearning.models.SkuCapacity: Set the scaleType property: Gets or sets the type of the scale.
withSchedule(ComputeRecurrenceSchedule) - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Set the schedule property: [Required] The recurrence schedule.
withSchedule(RecurrenceSchedule) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Set the schedule property: The recurrence schedule.
withSchedule(RecurrenceTrigger) - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Set the schedule property: Specifies the schedule details.
withSchedule(ScheduleBase) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Set the schedule property: [Deprecated] Not used any more.
withSchedules(ComputeSchedules) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the schedules property: The list of schedules to be applied on the computes.
withScope(String) - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager.Configurable: Adds the scope to permission sets.
withScoringRoute(Route) - Method in class com.azure.resourcemanager.machinelearning.models.InferenceContainerProperties: Set the scoringRoute property: The port to send the scoring requests to, within the inference server container.
withScoringScript(String) - Method in class com.azure.resourcemanager.machinelearning.models.CodeConfiguration: Set the scoringScript property: [Required] The script to execute on startup.
withScriptArguments(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Set the scriptArguments property: Optional command line arguments passed to the script to run.
withScriptData(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Set the scriptData property: The location of scripts in the mounted volume.
withScripts(ScriptsToExecute) - Method in class com.azure.resourcemanager.machinelearning.models.SetupScripts: Set the scripts property: Customized setup scripts.
withScriptSource(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Set the scriptSource property: The storage source of the script: workspace.
withSearchSpace(Object) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the searchSpace property: [Required] A dictionary containing each parameter and its distribution.
withSearchSpace(List<ImageModelDistributionSettingsClassification>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSearchSpace(List<ImageModelDistributionSettingsClassification>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSearchSpace(List<ImageModelDistributionSettingsClassification>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSearchSpace(List<ImageModelDistributionSettingsObjectDetection>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSearchSpace(List<ImageModelDistributionSettingsObjectDetection>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSearchSpace(List<ImageModelDistributionSettingsObjectDetection>) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Set the searchSpace property: Search space for sampling different combinations of models and their hyperparameters.
withSeasonality(Seasonality) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the seasonality property: Set time series seasonality as an integer multiple of the series frequency.
withSecondaryKey(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthKeysInner: Set the secondaryKey property: The secondary key.
withSecretAccessKey(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccessKey: Set the secretAccessKey property: The secretAccessKey property.
withSecrets(AccountKeyDatastoreSecrets) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyDatastoreCredentials: Set the secrets property: [Required] Storage account secrets.
withSecrets(CertificateDatastoreSecrets) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the secrets property: [Required] Service principal secrets.
withSecrets(SasDatastoreSecrets) - Method in class com.azure.resourcemanager.machinelearning.models.SasDatastoreCredentials: Set the secrets property: [Required] Storage container secrets.
withSecrets(ServicePrincipalDatastoreSecrets) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Set the secrets property: [Required] Service principal secrets.
withSecurityToken(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionUsernamePassword: Set the securityToken property: Optional, required by connections like SalesForce for extra security in addition to UsernamePassword.
withSeed(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.RandomSamplingAlgorithm: Set the seed property: An optional integer to use as the seed for random number generation.
withSelinux(String) - Method in class com.azure.resourcemanager.machinelearning.models.BindOptions: Set the selinux property: Mention the selinux options.
withServerlessComputeCustomSubnet(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessComputeSettings: Set the serverlessComputeCustomSubnet property: The resource ID of an existing virtual network subnet in which serverless compute nodes should be deployed.
withServerlessComputeNoPublicIp(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessComputeSettings: Set the serverlessComputeNoPublicIp property: The flag to signal if serverless compute nodes deployed in custom vNet would have no public IP addresses for a workspace with private endpoint.
withServerlessComputeSettings(ServerlessComputeSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
withServerlessComputeSettings(ServerlessComputeSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
withServerlessComputeSettings(ServerlessComputeSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
withServerlessComputeSettings(ServerlessComputeSettings) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithServerlessComputeSettings: Specifies the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
withServerlessComputeSettings(ServerlessComputeSettings) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithServerlessComputeSettings: Specifies the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
withServerlessComputeSettings(ServerlessComputeSettings) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the serverlessComputeSettings property: Settings for serverless compute created in the workspace.
withServiceBusConnectionString(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the serviceBusConnectionString property: ServiceBus connection string.
withServiceCidr(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Set the serviceCidr property: A CIDR notation IP range from which to assign service cluster IPs.
withServiceDataAccessAuthIdentity(ServiceDataAccessAuthIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
withServiceDataAccessAuthIdentity(ServiceDataAccessAuthIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
withServiceDataAccessAuthIdentity(ServiceDataAccessAuthIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
withServiceDataAccessAuthIdentity(ServiceDataAccessAuthIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
withServiceDataAccessAuthIdentity(ServiceDataAccessAuthIdentity) - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Set the serviceDataAccessAuthIdentity property: Indicates which identity to use to authenticate service data access to customer's storage.
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the serviceManagedResourcesSettings property: The service managed resource settings.
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the serviceManagedResourcesSettings property: The service managed resource settings.
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the serviceManagedResourcesSettings property: The service managed resource settings.
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithServiceManagedResourcesSettings: Specifies the serviceManagedResourcesSettings property: The service managed resource settings..
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithServiceManagedResourcesSettings: Specifies the serviceManagedResourcesSettings property: The service managed resource settings..
withServiceManagedResourcesSettings(ServiceManagedResourcesSettings) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the serviceManagedResourcesSettings property: The service managed resource settings.
withServiceResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination: Set the serviceResourceId property: The serviceResourceId property.
withServices(Map<String, JobService>) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the services property: List of JobEndpoints.
withServices(Map<String, JobService>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the services property: List of JobEndpoints.
withServices(Map<String, JobService>) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Set the services property: List of JobEndpoints.
withServices(Map<String, JobService>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the services property: List of JobEndpoints.
withServices(Map<String, JobService>) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the services property: List of JobEndpoints.
withServices(Map<String, JobService>) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the services property: List of JobEndpoints.
withServiceTag(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagDestination: Set the serviceTag property: The serviceTag property.
withSettings(Object) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the settings property: Pipeline settings, for things like ContinueRunOnStepFailure etc.
withSettings(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Set the settings property: Run-time settings for the pipeline job.
withSetupScripts(SetupScripts) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the setupScripts property: Details of customized scripts to execute for setting up the cluster.
withSharedPrivateLinkResources(List<SharedPrivateLinkResource>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
withSharedPrivateLinkResources(List<SharedPrivateLinkResource>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the sharedPrivateLinkResources property: The list of shared private link resources in this workspace.
withSharedPrivateLinkResources(List<SharedPrivateLinkResource>) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithSharedPrivateLinkResources: Specifies the sharedPrivateLinkResources property: The list of shared private link resources in this workspace..
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Set the sharedUserList property: The sharedUserList property.
withSharedUserList(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Set the sharedUserList property: The sharedUserList property.
withShmSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.JobResourceConfiguration: Set the shmSize property: Size of the docker container's shared memory block.
withShortSeriesHandlingConfig(ShortSeriesHandlingConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the shortSeriesHandlingConfig property: The parameter defining how if AutoML should handle short time series.
withSignals(Map<String, MonitoringSignalBase>) - Method in class com.azure.resourcemanager.machinelearning.models.MonitorDefinition: Set the signals property: [Required] The signals to monitor.
withSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TmpfsOptions: Set the size property: Mention the Tmpfs size.
withSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Set the size property: The SKU size.
withSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Set the size property: The SKU size.
withSkipValidation(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore.DefinitionStages.WithSkipValidation: Specifies the skipValidation property: Flag to skip validation..
withSkipValidation(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.Datastore.UpdateStages.WithSkipValidation: Specifies the skipValidation property: Flag to skip validation..
withSku(PartialSku) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.UpdateStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(PartialSku) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSku: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(PartialSku) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSkuAndIdentity: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(PartialSku) - Method in class com.azure.resourcemanager.machinelearning.models.PartialRegistryPartialTrackedResource: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(PartialSku) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.UpdateStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(PartialSku) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.UpdateStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Set the sku property: The sku of the workspace.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the sku property: The sku of the workspace.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner: Set the sku property: Sku details required for ARM contract for Autoscaling.
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the sku property: The sku of the workspace.
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.DefinitionStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.DefinitionStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithSku: Specifies the sku property: The sku of the workspace..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.DefinitionStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.DefinitionStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithSku: Specifies the sku property: The sku of the workspace..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.UpdateStages.WithSku: Specifies the sku property: The sku of the workspace..
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Set the sku property: The sku of the workspace.
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.DefinitionStages.WithSku: Specifies the sku property: Sku details required for ARM contract for Autoscaling..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithSku: Specifies the sku property: The sku of the workspace..
withSku(Sku) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithSku: Specifies the sku property: The sku of the workspace..
withSku(Sku) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the sku property: The sku of the workspace.
withSku(SkuSetting) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SkuResourceInner: Set the sku property: Gets or sets the Sku.
withSlackAmount(Float) - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Set the slackAmount property: Absolute distance allowed from the best performing run.
withSlackFactor(Float) - Method in class com.azure.resourcemanager.machinelearning.models.BanditPolicy: Set the slackFactor property: Ratio of the allowed distance from the best performing run.
withSource(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the source property: Source of the ComputeInstance data mount.
withSource(String) - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Set the source property: Source of the mount.
withSourceJobId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the sourceJobId property: ARM resource ID of source job.
withSourceType(SourceType) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataMount: Set the sourceType property: Data source type.
withSparkConfiguration(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Set the sparkConfiguration property: Specifies the spark compute settings.
withSparkConfiguration(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Set the sparkConfiguration property: Specifies the spark compute settings.
withSparkEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination: Set the sparkEnabled property: The sparkEnabled property.
withSparkReady(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkProvisionStatusInner: Set the sparkReady property: The sparkReady property.
withSparkRuntimeVersion(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRuntimeDto: Set the sparkRuntimeVersion property: The sparkRuntimeVersion property.
withSparkStatus(RuleStatus) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination: Set the sparkStatus property: Type of a managed network Outbound Rule of a machine learning workspace.
withSparkVersion(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the sparkVersion property: Spark version.
withSpecification(FeaturesetSpecification) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Set the specification property: Specifies the feature spec details.
withSshPort(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.HDInsightProperties: Set the sshPort property: Port open for ssh connections on the master node of the cluster.
withSshPort(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the sshPort property: Port open for ssh connections.
withSshPublicAccess(SshPublicAccess) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceSshSettings: Set the sshPublicAccess property: State of the public SSH port.
withSshSettings(ComputeInstanceSshSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the sshSettings property: Specifies policy and settings for SSH access.
withSslConfiguration(SslConfiguration) - Method in class com.azure.resourcemanager.machinelearning.models.AksSchemaProperties: Set the sslConfiguration property: SSL configuration.
withStackEnsembleSettings(StackEnsembleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ClassificationTrainingSettings: Set the stackEnsembleSettings property: Stack ensemble settings for stack ensemble run.
withStackEnsembleSettings(StackEnsembleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingTrainingSettings: Set the stackEnsembleSettings property: Stack ensemble settings for stack ensemble run.
withStackEnsembleSettings(StackEnsembleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings: Set the stackEnsembleSettings property: Stack ensemble settings for stack ensemble run.
withStackEnsembleSettings(StackEnsembleSettings) - Method in class com.azure.resourcemanager.machinelearning.models.TrainingSettings: Set the stackEnsembleSettings property: Stack ensemble settings for stack ensemble run.
withStackMetaLearnerKWargs(Object) - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Set the stackMetaLearnerKWargs property: Optional parameters to pass to the initializer of the meta-learner.
withStackMetaLearnerTrainPercentage(Double) - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Set the stackMetaLearnerTrainPercentage property: Specifies the proportion of the training set (when choosing train and validation type of training) to be reserved for training the meta-learner.
withStackMetaLearnerType(StackMetaLearnerType) - Method in class com.azure.resourcemanager.machinelearning.models.StackEnsembleSettings: Set the stackMetaLearnerType property: The meta-learner is a model trained on the output of the individual heterogeneous models.
withStage(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the stage property: Stage in the environment lifecycle assigned to this environment.
withStage(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Set the stage property: Specifies the asset stage.
withStage(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Set the stage property: Specifies the asset stage.
withStage(String) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Set the stage property: Stage in the model lifecycle assigned to this model.
withStartTime(String) - Method in class com.azure.resourcemanager.machinelearning.models.Cron: Set the startTime property: The start time in yyyy-MM-ddTHH:mm:ss format.
withStartTime(String) - Method in class com.azure.resourcemanager.machinelearning.models.CronTrigger: Set the startTime property: Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
withStartTime(String) - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Set the startTime property: The start time in yyyy-MM-ddTHH:mm:ss format.
withStartTime(String) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Set the startTime property: Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
withStartTime(String) - Method in class com.azure.resourcemanager.machinelearning.models.TriggerBase: Set the startTime property: Specifies start time of schedule in ISO 8601 format, but without a UTC offset.
withStartupScript(ScriptReference) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptsToExecute: Set the startupScript property: Script that's run every time the machine starts.
withStatus(ManagedNetworkProvisionStatusInner) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkSettingsInner: Set the status property: Status of the Provisioning for the managed network of a machine learning workspace.
withStatus(EncryptionStatus) - Method in class com.azure.resourcemanager.machinelearning.models.EncryptionProperty: Set the status property: Indicates whether or not the encryption is enabled for the workspace.
withStatus(EndpointServiceConnectionStatus) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPrivateLinkServiceConnectionState: Set the status property: Connection status of the service consumer with the service provider.
withStatus(ManagedNetworkStatus) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ManagedNetworkProvisionStatusInner: Set the status property: Status for the managed network of a machine learning workspace.
withStatus(PrivateEndpointServiceConnectionStatus) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.SharedPrivateLinkResourceProperty: Set the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
withStatus(PrivateEndpointServiceConnectionStatus) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkServiceConnectionState: Set the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
withStatus(PrivateEndpointServiceConnectionStatus) - Method in class com.azure.resourcemanager.machinelearning.models.SharedPrivateLinkResource: Set the status property: Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service.
withStatus(RuleStatus) - Method in class com.azure.resourcemanager.machinelearning.models.FqdnOutboundRule: Set the status property: Type of a managed network Outbound Rule of a machine learning workspace.
withStatus(RuleStatus) - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRule: Set the status property: Type of a managed network Outbound Rule of a machine learning workspace.
withStatus(RuleStatus) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointOutboundRule: Set the status property: Type of a managed network Outbound Rule of a machine learning workspace.
withStatus(RuleStatus) - Method in class com.azure.resourcemanager.machinelearning.models.ServiceTagOutboundRule: Set the status property: Type of a managed network Outbound Rule of a machine learning workspace.
withStatus(ScheduleStatus) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Set the status property: Is the schedule enabled or disabled?.
withStatus(ScheduleStatus) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleBase: Set the status property: Is the schedule enabled or disabled?.
withStatus(SslConfigStatus) - Method in class com.azure.resourcemanager.machinelearning.models.SslConfiguration: Set the status property: Enable or disable ssl for scoring.
withStatus(Status) - Method in class com.azure.resourcemanager.machinelearning.models.UpdateWorkspaceQuotas: Set the status property: Status of update workspace quota.
withStatusCode(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.NotebookPreparationError: Set the statusCode property: The statusCode property.
withStepLRGamma(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRGamma(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRGamma(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRGamma(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRGamma(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRGamma(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the stepLRGamma property: Value of gamma when learning rate scheduler is 'step'.
withStepLRStepSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStepLRStepSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStepLRStepSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStepLRStepSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStepLRStepSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStepLRStepSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the stepLRStepSize property: Value of step size when learning rate scheduler is 'step'.
withStorageAccount(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the storageAccount property: ARM id of the storage account associated with this workspace.
withStorageAccount(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the storageAccount property: ARM id of the storage account associated with this workspace.
withStorageAccount(String) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithStorageAccount: Specifies the storageAccount property: ARM id of the storage account associated with this workspace.
withStorageAccount(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the storageAccount property: Setting for diagnosing dependent storage account.
withStorageAccountArmId(String) - Method in class com.azure.resourcemanager.machinelearning.models.BlobReferenceForConsumptionDto: Set the storageAccountArmId property: Arm ID of the storage account to use.
withStorageAccountArmId(String) - Method in class com.azure.resourcemanager.machinelearning.models.GetBlobReferenceForConsumptionDto: Set the storageAccountArmId property: The ARM id of the storage account.
withStorageAccountDetails(List<StorageAccountDetails>) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryRegionArmDetails: Set the storageAccountDetails property: List of storage accounts.
withStorageAccountHnsEnabled(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Set the storageAccountHnsEnabled property: HNS enabled for storage account.
withStorageAccountName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Set the storageAccountName property: Name of the storage account.
withStorageAccountResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the storageAccountResults property: The storageAccountResults property.
withStorageAccountType(StorageAccountType) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceDataDisk: Set the storageAccountType property: type of this storage account.
withStorageAccountType(String) - Method in class com.azure.resourcemanager.machinelearning.models.SystemCreatedStorageAccount: Set the storageAccountType property: Allowed values: "Standard_LRS", "Standard_GRS", "Standard_RAGRS", "Standard_ZRS", "Standard_GZRS", "Standard_RAGZRS", "Premium_LRS", "Premium_ZRS".
withStoreName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the storeName property: [Required] Azure Data Lake store name.
withStoreType(MaterializationStoreType) - Method in class com.azure.resourcemanager.machinelearning.models.MaterializationSettings: Set the storeType property: Specifies the stores to which materialization should happen.
withSubnet(ResourceId) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the subnet property: Virtual network subnet resource ID the compute nodes belong to.
withSubnet(ResourceId) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the subnet property: Virtual network subnet resource ID the compute nodes belong to.
withSubnetArmId(String) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointResource: Set the subnetArmId property: The subnetId that the private endpoint is connected to.
withSubnetId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksNetworkingConfiguration: Set the subnetId property: Virtual network subnet resource ID the compute nodes belong to.
withSubresourceTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointDestination: Set the subresourceTarget property: The subresourceTarget property.
withSubscriptionId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the subscriptionId property: Azure Subscription Id.
withSubscriptionId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the subscriptionId property: Azure Subscription Id.
withSubscriptionId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the subscriptionId property: Azure Subscription Id.
withSubscriptionId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDatastore: Set the subscriptionId property: Azure Subscription Id.
withSubscriptionId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the subscriptionId property: Azure Subscription Id.
withSubscriptionId(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the subscriptionId property: Azure subscription identifier.
withSuccessThreshold(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Set the successThreshold property: The number of successful probes before returning a healthy status.
withSupportedComputeTypes(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSize: Set the supportedComputeTypes property: Specifies the compute types supported by the virtual machine size.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSweepSettings(ImageSweepSettings) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Set the sweepSettings property: Model sweeping and hyperparameter sweeping related settings.
withSystemCreatedAcrAccount(SystemCreatedAcrAccount) - Method in class com.azure.resourcemanager.machinelearning.models.AcrDetails: Set the systemCreatedAcrAccount property: Details of system created ACR account to be used for the Registry.
withSystemCreatedStorageAccount(SystemCreatedStorageAccount) - Method in class com.azure.resourcemanager.machinelearning.models.StorageAccountDetails: Set the systemCreatedStorageAccount property: Details of system created storage account to be used for the registry.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchDeploymentInner
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.BatchEndpointInner
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ComputeResourceInner: Set the tags property: Contains resource tags defined as key/value pairs.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineDeploymentInner
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.OnlineEndpointInner
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateEndpointConnectionInner: Set the tags property: Contains resource tags defined as key/value pairs.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.RegistryInner
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ServerlessEndpointInner
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the tags property: Contains resource tags defined as key/value pairs.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AssetBase: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AssetContainer: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureBlobDatastore: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen1Datastore: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureDataLakeGen2Datastore: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.AzureFileDatastore: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.DefinitionStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchDeployment.UpdateStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.DefinitionStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.BatchEndpoint.UpdateStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchPipelineComponentDeploymentConfiguration: Set the tags property: The tags which will be applied to the job.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJob: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.ComputeResource.DefinitionStages.WithTags: Specifies the tags property: Contains resource tags defined as key/value pairs..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionBackfillRequest: Set the tags property: Specifies the tags.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableData: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.OneLakeDatastore: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.DefinitionStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineDeployment.UpdateStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.DefinitionStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.OnlineEndpoint.UpdateStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialBatchDeploymentPartialMinimalTrackedResourceWithProperties: Set the tags property: Resource tags.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResource: Set the tags property: Resource tags.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithIdentity: Set the tags property: Resource tags.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSku: Set the tags property: Resource tags.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialMinimalTrackedResourceWithSkuAndIdentity: Set the tags property: Resource tags.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialRegistryPartialTrackedResource: Set the tags property: Resource tags.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PipelineJob: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.DefinitionStages.WithTags: Specifies the tags property: Contains resource tags defined as key/value pairs..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnection.UpdateStages.WithTags: Specifies the tags property: Contains resource tags defined as key/value pairs..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateLinkResource: Set the tags property: Contains resource tags defined as key/value pairs.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.DefinitionStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.Registry.UpdateStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ResourceBase: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.DefinitionStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.ServerlessEndpoint.UpdateStages.WithTags: Specifies the tags property: Resource tags..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.SparkJob: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileDataVersion: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderDataVersion: Set the tags property: Tag dictionary.
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithTags: Specifies the tags property: Contains resource tags defined as key/value pairs..
withTags(Map<String, String>) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithTags: Specifies the tags property: The resource tags for the machine learning workspace..
withTags(Map<String, String>) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the tags property: The resource tags for the machine learning workspace.
withTail(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.DeploymentLogsRequest: Set the tail property: The maximum number of lines to tail.
withTarget(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.Endpoint: Set the target property: Application port inside the container.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Set the target property: The target property.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Set the target property: Target of the mount.
withTarget(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Set the target property: The target property.
withTargetAggregateFunction(TargetAggregationFunction) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the targetAggregateFunction property: The function to be used to aggregate the time series target column to conform to a user specified frequency.
withTargetColumn(String) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureImportanceSettings: Set the targetColumn property: The name of the target column within the input data asset.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Set the targetColumnName property: Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the targetColumnName property: Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the targetColumnName property: Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the targetColumnName property: Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the targetColumnName property: Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the targetColumnName property: Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the targetColumnName property: Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the targetColumnName property: Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the targetColumnName property: Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Set the targetColumnName property: Target column name: This is prediction values column.
withTargetColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Set the targetColumnName property: Target column name: This is prediction values column.
withTargetLags(TargetLags) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the targetLags property: The number of past periods to lag from the target column.
withTargetRollingWindowSize(TargetRollingWindowSize) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the targetRollingWindowSize property: The number of past periods used to create a rolling window average of the target column.
withTargetUtilizationPercentage(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TargetUtilizationScaleSettings: Set the targetUtilizationPercentage property: Target CPU usage for the autoscaler.
withTaskDetails(AutoMLVertical) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLJob: Set the taskDetails property: [Required] This represents scenario which can be one of Tables/NLP/Image.
withTaskType(ModelTaskType) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringTarget: Set the taskType property: [Required] The machine learning task type of the monitored model.
withTenantId(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssignedUser: Set the tenantId property: User’s AAD Tenant Id.
withTenantId(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Set the tenantId property: Required by QuickBooks and Xero connection categories.
withTenantId(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionServicePrincipal: Set the tenantId property: The tenantId property.
withTenantId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the tenantId property: [Required] ID of the tenant to which the service principal belongs.
withTenantId(UUID) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalDatastoreCredentials: Set the tenantId property: [Required] ID of the tenant to which the service principal belongs.
withTestData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the testData property: Test data input.
withTestData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the testData property: Test data input.
withTestData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the testData property: Test data input.
withTestData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the testData property: Test data input.
withTestDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose.
withTestDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose.
withTestDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose.
withTestDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose.
withThreshold(MonitoringThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataDriftMetricThreshold: Set the threshold property: The threshold value.
withThreshold(MonitoringThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalDataQualityMetricThreshold: Set the threshold property: The threshold value.
withThreshold(MonitoringThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.CategoricalPredictionDriftMetricThreshold: Set the threshold property: The threshold value.
withThreshold(MonitoringThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.CustomMetricThreshold: Set the threshold property: The threshold value.
withThreshold(MonitoringThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.DataDriftMetricThresholdBase: Set the threshold property: The threshold value.
withThreshold(MonitoringThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.DataQualityMetricThresholdBase: Set the threshold property: The threshold value.
withThreshold(MonitoringThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureAttributionMetricThreshold: Set the threshold property: The threshold value.
withThreshold(MonitoringThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataDriftMetricThreshold: Set the threshold property: The threshold value.
withThreshold(MonitoringThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.NumericalDataQualityMetricThreshold: Set the threshold property: The threshold value.
withThreshold(MonitoringThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.NumericalPredictionDriftMetricThreshold: Set the threshold property: The threshold value.
withThreshold(MonitoringThreshold) - Method in class com.azure.resourcemanager.machinelearning.models.PredictionDriftMetricThresholdBase: Set the threshold property: The threshold value.
withThumbprint(String) - Method in class com.azure.resourcemanager.machinelearning.models.CertificateDatastoreCredentials: Set the thumbprint property: [Required] Thumbprint of the certificate used for authentication.
withTier(SkuTier) - Method in class com.azure.resourcemanager.machinelearning.models.PartialSku: Set the tier property: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
withTier(SkuTier) - Method in class com.azure.resourcemanager.machinelearning.models.Sku: Set the tier property: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
withTier(SkuTier) - Method in class com.azure.resourcemanager.machinelearning.models.SkuSetting: Set the tier property: This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT.
withTileGridSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the tileGridSize property: The grid size to use for tiling each image.
withTileGridSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the tileGridSize property: The grid size to use for tiling each image.
withTileOverlapRatio(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the tileOverlapRatio property: Overlap ratio between adjacent tiles in each dimension.
withTileOverlapRatio(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the tileOverlapRatio property: Overlap ratio between adjacent tiles in each dimension.
withTilePredictionsNmsThreshold(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the tilePredictionsNmsThreshold property: The IOU threshold to use to perform NMS while merging predictions from tiles and image.
withTilePredictionsNmsThreshold(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the tilePredictionsNmsThreshold property: The IOU threshold to use to perform NMS while merging predictions from tiles and image.
withTimeColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the timeColumnName property: The name of the time column.
withTimeout(String) - Method in class com.azure.resourcemanager.machinelearning.models.ScriptReference: Set the timeout property: Optional time period passed to timeout command.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.BatchRetrySettings: Set the timeout property: Invocation timeout for a mini-batch, in ISO 8601 format.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.CommandJobLimits: Set the timeout property: The max run duration in ISO 8601 format, after which the job will be cancelled.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ImageLimitSettings: Set the timeout property: AutoML job timeout.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.JobLimits: Set the timeout property: The max run duration in ISO 8601 format, after which the job will be cancelled.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVerticalLimitSettings: Set the timeout property: AutoML job timeout.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.ProbeSettings: Set the timeout property: The probe timeout in ISO 8601 format.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Set the timeout property: The max run duration in ISO 8601 format, after which the job will be cancelled.
withTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the timeout property: AutoML job timeout.
withTimeSeriesIdColumnNames(List<String>) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the timeSeriesIdColumnNames property: The names of columns used to group a timeseries.
withTimeZone(String) - Method in class com.azure.resourcemanager.machinelearning.models.Cron: Set the timeZone property: Specifies time zone in which the schedule runs.
withTimeZone(String) - Method in class com.azure.resourcemanager.machinelearning.models.CronTrigger: Set the timeZone property: Specifies time zone in which the schedule runs.
withTimeZone(String) - Method in class com.azure.resourcemanager.machinelearning.models.Recurrence: Set the timeZone property: Specifies time zone in which the schedule runs.
withTimeZone(String) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceTrigger: Set the timeZone property: Specifies time zone in which the schedule runs.
withTimeZone(String) - Method in class com.azure.resourcemanager.machinelearning.models.TriggerBase: Set the timeZone property: Specifies time zone in which the schedule runs.
withTmpfs(TmpfsOptions) - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Set the tmpfs property: tmpfs option of the mount.
withTokenType(String) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.EndpointAuthTokenInner: Set the tokenType property: Access token type.
withTop(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TopNFeaturesByAttribution: Set the top property: The number of top features to include.
withTraffic(Map<String, Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointProperties: Set the traffic property: Percentage of traffic from endpoint to divert to each deployment.
withTrainingBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the trainingBatchSize property: Training batch size.
withTrainingBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the trainingBatchSize property: Training batch size.
withTrainingBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the trainingBatchSize property: Training batch size.
withTrainingBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the trainingBatchSize property: Training batch size.
withTrainingBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the trainingBatchSize property: Training batch size.
withTrainingBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the trainingBatchSize property: Training batch size.
withTrainingCropSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the trainingCropSize property: Image crop size that is input to the neural network for the training dataset.
withTrainingCropSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the trainingCropSize property: Image crop size that is input to the neural network for the training dataset.
withTrainingData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.AutoMLVertical: Set the trainingData property: [Required] Training data input.
withTrainingData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the trainingData property: [Required] Training data input.
withTrainingData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the trainingData property: [Required] Training data input.
withTrainingData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the trainingData property: [Required] Training data input.
withTrainingData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the trainingData property: [Required] Training data input.
withTrainingData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the trainingData property: [Required] Training data input.
withTrainingData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the trainingData property: [Required] Training data input.
withTrainingData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the trainingData property: [Required] Training data input.
withTrainingData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the trainingData property: [Required] Training data input.
withTrainingData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Set the trainingData property: [Required] Training data input.
withTrainingData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Set the trainingData property: [Required] Training data input.
withTrainingSettings(ClassificationTrainingSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the trainingSettings property: Inputs for training phase for an AutoML Job.
withTrainingSettings(ForecastingTrainingSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the trainingSettings property: Inputs for training phase for an AutoML Job.
withTrainingSettings(RegressionTrainingSettings) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the trainingSettings property: Inputs for training phase for an AutoML Job.
withTransformerParams(Map<String, List<ColumnTransformer>>) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings: Set the transformerParams property: User can specify additional transformers to be used along with the columns to which it would be applied and parameters for the transformer constructor.
withTrial(TrialComponent) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJob: Set the trial property: [Required] Trial component definition.
withTrialTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.SweepJobLimits: Set the trialTimeout property: Sweep Job Trial timeout value.
withTrialTimeout(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings: Set the trialTimeout property: Iteration timeout.
withTrigger(TriggerBase) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleProperties: Set the trigger property: [Required] Specifies the trigger details.
withTriggerType(ComputeTriggerType) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeStartStopSchedule: Set the triggerType property: [Required] The schedule trigger type.
withTruncationPercentage(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TruncationSelectionPolicy: Set the truncationPercentage property: The percentage of runs to cancel at each evaluation interval.
withType(EnvironmentVariableType) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariable: Set the type property: Type of the Environment Variable.
withType(ImageType) - Method in class com.azure.resourcemanager.machinelearning.models.Image: Set the type property: Type of the image.
withType(ManagedServiceIdentityType) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Set the type property: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
withType(ManagedServiceIdentityType) - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Set the type property: Managed service identity (system assigned and/or user assigned identities).
withType(ManagedServiceIdentityType) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPartialManagedServiceIdentity: Set the type property: Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed).
withType(VolumeDefinitionType) - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Set the type property: Type of Volume Definition.
withType(String) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Set the type property: Specifies the resource type.
withUdr(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseRequestProperties: Set the udr property: Setting for diagnosing user defined routing.
withUnit(QuotaUnit) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaBaseProperties: Set the unit property: An enum describing the unit of quota measurement.
withUnitOfMeasure(UnitOfMeasure) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Set the unitOfMeasure property: The unit of time measurement for the specified VM price.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.AssetJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomModelJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.FixedInputData: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLFlowModelJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.MLTableJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringInputDataBase: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessInferenceEndpoint: Set the uri property: [Required] The inference uri to target when making requests against the Serverless Endpoint.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.TritonModelJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFileJobOutput: Set the uri property: Output Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobInput: Set the uri property: [Required] Input Asset URI.
withUri(String) - Method in class com.azure.resourcemanager.machinelearning.models.UriFolderJobOutput: Set the uri property: Output Asset URI.
withUserAccountCredentials(UserAccountCredentials) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the userAccountCredentials property: Credentials for an administrator user account that will be created on each compute node.
withUserAssignedIdentities(Map<String, UserAssignedIdentity>) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedServiceIdentity: Set the userAssignedIdentities property: The set of user assigned identities associated with the resource.
withUserAssignedIdentities(Map<String, UserAssignedIdentity>) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryPartialManagedServiceIdentity: Set the userAssignedIdentities property: The set of user assigned identities associated with the resource.
withUserAssignedIdentities(Map<String, Object>) - Method in class com.azure.resourcemanager.machinelearning.models.PartialManagedServiceIdentity: Set the userAssignedIdentities property: The set of user assigned identities associated with the resource.
withUserAssignedIdentity(String) - Method in class com.azure.resourcemanager.machinelearning.models.IdentityForCmk: Set the userAssignedIdentity property: The ArmId of the user assigned identity that will be used to access the customer managed key vault.
withUserCreatedAcrAccount(UserCreatedAcrAccount) - Method in class com.azure.resourcemanager.machinelearning.models.AcrDetails: Set the userCreatedAcrAccount property: Details of user created ACR account to be used for the Registry.
withUserCreatedStorageAccount(UserCreatedStorageAccount) - Method in class com.azure.resourcemanager.machinelearning.models.StorageAccountDetails: Set the userCreatedStorageAccount property: Details of user created storage account to be used for the registry.
withUserDefinedRouteResults(List<DiagnoseResult>) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseResponseResultValue: Set the userDefinedRouteResults property: The userDefinedRouteResults property.
withUserKubeConfig(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecrets: Set the userKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
withUserKubeConfig(String) - Method in class com.azure.resourcemanager.machinelearning.models.AksComputeSecretsProperties: Set the userKubeConfig property: Content of kubeconfig file that can be used to connect to the Kubernetes cluster.
withUserManagedIdentityClientId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Set the userManagedIdentityClientId property: ClientId for the UAMI.
withUserManagedIdentityPrincipalId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Set the userManagedIdentityPrincipalId property: PrincipalId for the UAMI.
withUserManagedIdentityResourceId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Set the userManagedIdentityResourceId property: Full arm scope for the Id.
withUserManagedIdentityTenantId(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityCredential: Set the userManagedIdentityTenantId property: TenantId for the UAMI.
withUsername(String) - Method in class com.azure.resourcemanager.machinelearning.models.DockerCredential: Set the username property: DockerCredential user name.
withUsername(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSshCredentials: Set the username property: Username of admin account.
withUsername(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Set the username property: Concur, ServiceNow auth server AccessToken grant type is 'Password' which requires UsernamePassword.
withUsername(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionUsernamePassword: Set the username property: The username property.
withUseStl(UseStl) - Method in class com.azure.resourcemanager.machinelearning.models.ForecastingSettings: Set the useStl property: Configure STL Decomposition of the time-series target column.
withV1LegacyMode(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API.
withV1LegacyMode(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API.
withV1LegacyMode(Boolean) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Set the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API.
withV1LegacyMode(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithV1LegacyMode: Specifies the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API..
withV1LegacyMode(Boolean) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.UpdateStages.WithV1LegacyMode: Specifies the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API..
withV1LegacyMode(Boolean) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Set the v1LegacyMode property: Enabling v1_legacy_mode may prevent you from using features provided by the v2 API.
withValidationBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the validationBatchSize property: Validation batch size.
withValidationBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the validationBatchSize property: Validation batch size.
withValidationBatchSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the validationBatchSize property: Validation batch size.
withValidationBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the validationBatchSize property: Validation batch size.
withValidationBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the validationBatchSize property: Validation batch size.
withValidationBatchSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the validationBatchSize property: Validation batch size.
withValidationCropSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the validationCropSize property: Image crop size that is input to the neural network for the validation dataset.
withValidationCropSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the validationCropSize property: Image crop size that is input to the neural network for the validation dataset.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.NlpVertical: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassification: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.TextClassificationMultilabel: Set the validationData property: Validation data inputs.
withValidationData(MLTableJobInput) - Method in class com.azure.resourcemanager.machinelearning.models.TextNer: Set the validationData property: Validation data inputs.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassification: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationBase: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.ImageClassificationMultilabel: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.ImageInstanceSegmentation: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetection: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.ImageObjectDetectionBase: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.ImageVertical: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationDataSize(Double) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose.
withValidationIouThreshold(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the validationIouThreshold property: IOU threshold to use when computing validation metric.
withValidationIouThreshold(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the validationIouThreshold property: IOU threshold to use when computing validation metric.
withValidationMetricType(ValidationMetricType) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the validationMetricType property: Metric computation method to use for validation metrics.
withValidationMetricType(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the validationMetricType property: Metric computation method to use for validation metrics.
withValidationResizeSize(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the validationResizeSize property: Image size to which to resize before cropping for validation dataset.
withValidationResizeSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the validationResizeSize property: Image size to which to resize before cropping for validation dataset.
withValue(int) - Method in class com.azure.resourcemanager.machinelearning.models.CustomForecastHorizon: Set the value property: [Required] Forecast horizon value.
withValue(int) - Method in class com.azure.resourcemanager.machinelearning.models.CustomNCrossValidations: Set the value property: [Required] N-Cross validations value.
withValue(int) - Method in class com.azure.resourcemanager.machinelearning.models.CustomSeasonality: Set the value property: [Required] Seasonality value.
withValue(int) - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetRollingWindowSize: Set the value property: [Required] TargetRollingWindowSize value.
withValue(DiagnoseRequestProperties) - Method in class com.azure.resourcemanager.machinelearning.models.DiagnoseWorkspaceParameters: Set the value property: Value of Parameters.
withValue(DiagnoseResponseResultValue) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.DiagnoseResponseResultInner: Set the value property: The value property.
withValue(Double) - Method in class com.azure.resourcemanager.machinelearning.models.MonitoringThreshold: Set the value property: The threshold value.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVariable: Set the value property: Value of the Environment variable.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.LiteralJobInput: Set the value property: [Required] Literal value for the input.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Set the value property: Value details of the workspace connection.
withValue(String) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Set the value property: Value details of the workspace connection.
withValue(List<BatchDeploymentInner>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchDeploymentTrackedResourceArmPaginatedResult: Set the value property: An array of objects of type BatchDeployment.
withValue(List<BatchEndpointInner>) - Method in class com.azure.resourcemanager.machinelearning.models.BatchEndpointTrackedResourceArmPaginatedResult: Set the value property: An array of objects of type BatchEndpoint.
withValue(List<CodeContainerInner>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeContainerResourceArmPaginatedResult: Set the value property: An array of objects of type CodeContainer.
withValue(List<CodeVersionInner>) - Method in class com.azure.resourcemanager.machinelearning.models.CodeVersionResourceArmPaginatedResult: Set the value property: An array of objects of type CodeVersion.
withValue(List<ComponentContainerInner>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentContainerResourceArmPaginatedResult: Set the value property: An array of objects of type ComponentContainer.
withValue(List<ComponentVersionInner>) - Method in class com.azure.resourcemanager.machinelearning.models.ComponentVersionResourceArmPaginatedResult: Set the value property: An array of objects of type ComponentVersion.
withValue(List<ComputeResourceInner>) - Method in class com.azure.resourcemanager.machinelearning.models.PaginatedComputeResourcesList: Set the value property: An array of Machine Learning compute objects wrapped in ARM resource envelope.
withValue(List<DataContainerInner>) - Method in class com.azure.resourcemanager.machinelearning.models.DataContainerResourceArmPaginatedResult: Set the value property: An array of objects of type DataContainer.
withValue(List<DatastoreInner>) - Method in class com.azure.resourcemanager.machinelearning.models.DatastoreResourceArmPaginatedResult: Set the value property: An array of objects of type Datastore.
withValue(List<DataVersionBaseInner>) - Method in class com.azure.resourcemanager.machinelearning.models.DataVersionBaseResourceArmPaginatedResult: Set the value property: An array of objects of type DataVersionBase.
withValue(List<EnvironmentContainerInner>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentContainerResourceArmPaginatedResult: Set the value property: An array of objects of type EnvironmentContainer.
withValue(List<EnvironmentVersionInner>) - Method in class com.azure.resourcemanager.machinelearning.models.EnvironmentVersionResourceArmPaginatedResult: Set the value property: An array of objects of type EnvironmentVersion.
withValue(List<FeatureInner>) - Method in class com.azure.resourcemanager.machinelearning.models.FeatureResourceArmPaginatedResult: Set the value property: An array of objects of type Feature.
withValue(List<FeaturesetContainerInner>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetContainerResourceArmPaginatedResult: Set the value property: An array of objects of type FeaturesetContainer.
withValue(List<FeaturesetVersionInner>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturesetVersionResourceArmPaginatedResult: Set the value property: An array of objects of type FeaturesetVersion.
withValue(List<FeaturestoreEntityContainerInner>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityContainerResourceArmPaginatedResult: Set the value property: An array of objects of type FeaturestoreEntityContainer.
withValue(List<FeaturestoreEntityVersionInner>) - Method in class com.azure.resourcemanager.machinelearning.models.FeaturestoreEntityVersionResourceArmPaginatedResult: Set the value property: An array of objects of type FeaturestoreEntityVersion.
withValue(List<JobBaseInner>) - Method in class com.azure.resourcemanager.machinelearning.models.JobBaseResourceArmPaginatedResult: Set the value property: An array of objects of type JobBase.
withValue(List<MarketplaceSubscriptionInner>) - Method in class com.azure.resourcemanager.machinelearning.models.MarketplaceSubscriptionResourceArmPaginatedResult: Set the value property: An array of objects of type MarketplaceSubscription.
withValue(List<ModelContainerInner>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelContainerResourceArmPaginatedResult: Set the value property: An array of objects of type ModelContainer.
withValue(List<ModelVersionInner>) - Method in class com.azure.resourcemanager.machinelearning.models.ModelVersionResourceArmPaginatedResult: Set the value property: An array of objects of type ModelVersion.
withValue(List<OnlineDeploymentInner>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineDeploymentTrackedResourceArmPaginatedResult: Set the value property: An array of objects of type OnlineDeployment.
withValue(List<OnlineEndpointInner>) - Method in class com.azure.resourcemanager.machinelearning.models.OnlineEndpointTrackedResourceArmPaginatedResult: Set the value property: An array of objects of type OnlineEndpoint.
withValue(List<OutboundRuleBasicResourceInner>) - Method in class com.azure.resourcemanager.machinelearning.models.OutboundRuleListResult: Set the value property: The list of machine learning workspaces.
withValue(List<PrivateEndpointConnectionInner>) - Method in class com.azure.resourcemanager.machinelearning.models.PrivateEndpointConnectionListResult: Set the value property: Array of private endpoint connections.
withValue(List<RegistryInner>) - Method in class com.azure.resourcemanager.machinelearning.models.RegistryTrackedResourceArmPaginatedResult: Set the value property: An array of objects of type Registry.
withValue(List<ScheduleInner>) - Method in class com.azure.resourcemanager.machinelearning.models.ScheduleResourceArmPaginatedResult: Set the value property: An array of objects of type Schedule.
withValue(List<ServerlessEndpointInner>) - Method in class com.azure.resourcemanager.machinelearning.models.ServerlessEndpointTrackedResourceArmPaginatedResult: Set the value property: An array of objects of type ServerlessEndpoint.
withValue(List<SkuResourceInner>) - Method in class com.azure.resourcemanager.machinelearning.models.SkuResourceArmPaginatedResult: Set the value property: An array of objects of type SkuResource.
withValue(List<WorkspaceConnectionPropertiesV2BasicResourceInner>) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult: Set the value property: The value property.
withValue(List<WorkspaceInner>) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Set the value property: The list of machine learning workspaces.
withValue(List<FqdnEndpoints>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.ExternalFqdnResponseInner: Set the value property: The value property.
withValue(List<PrivateLinkResource>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.PrivateLinkResourceListResultInner: Set the value property: Array of private link resources.
withValue(List<QuotaBaseProperties>) - Method in class com.azure.resourcemanager.machinelearning.models.QuotaUpdateParameters: Set the value property: The list for update quota.
withValue(List<VirtualMachineSize>) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.VirtualMachineSizeListResultInner: Set the value property: The list of virtual machine sizes supported by AmlCompute.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.AadAuthTypeWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.AccessKeyAuthTypeWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.AccountKeyAuthTypeWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.ApiKeyAuthWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.CustomKeysWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.ManagedIdentityAuthTypeWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.NoneAuthTypeWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.OAuth2AuthTypeWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.PatAuthTypeWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.SasAuthTypeWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.ServicePrincipalAuthTypeWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.UsernamePasswordAuthTypeWorkspaceConnectionProperties: Set the valueFormat property: format for the workspace connection value.
withValueFormat(ValueFormat) - Method in class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Set the valueFormat property: format for the workspace connection value.
withValues(List<EstimatedVMPrice>) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrices: Set the values property: The list of estimated prices for using a VM of a particular OS type, tier, etc.
withValues(List<Integer>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomTargetLags: Set the values property: [Required] Set target lags values.
withVcName(String) - Method in class com.azure.resourcemanager.machinelearning.models.KubernetesProperties: Set the vcName property: VC name.
withVersion(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceEnvironmentInfo: Set the version property: version of environment.
withVirtualMachineImage(VirtualMachineImage) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the virtualMachineImage property: Virtual Machine image for AML Compute - windows only.
withVirtualMachineSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.VirtualMachineSchemaProperties: Set the virtualMachineSize property: Virtual Machine size.
withVmPriority(VmPriority) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the vmPriority property: Virtual Machine priority.
withVmSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.AmlComputeProperties: Set the vmSize property: Virtual Machine Size.
withVmSize(String) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeInstanceProperties: Set the vmSize property: Virtual Machine Size.
withVmTier(VMTier) - Method in class com.azure.resourcemanager.machinelearning.models.EstimatedVMPrice: Set the vmTier property: The type of the VM.
withVolume(VolumeOptions) - Method in class com.azure.resourcemanager.machinelearning.models.VolumeDefinition: Set the volume property: Volume Options of the mount.
withVolumes(List<VolumeDefinition>) - Method in class com.azure.resourcemanager.machinelearning.models.CustomService: Set the volumes property: Configuring the volumes for the container.
withWarmupCosineLRCycles(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRCycles(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRCycles(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRCycles(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRCycles(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRCycles(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the warmupCosineLRCycles property: Value of cosine cycle when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWarmupCosineLRWarmupEpochs(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the warmupCosineLRWarmupEpochs property: Value of warmup epochs when learning rate scheduler is 'warmup_cosine'.
withWebhooks(Map<String, Webhook>) - Method in class com.azure.resourcemanager.machinelearning.models.NotificationSetting: Set the webhooks property: Send webhook callback to a service.
withWeekDays(List<ComputeWeekDay>) - Method in class com.azure.resourcemanager.machinelearning.models.ComputeRecurrenceSchedule: Set the weekDays property: List of days for the schedule.
withWeekDays(List<WeekDay>) - Method in class com.azure.resourcemanager.machinelearning.models.RecurrenceSchedule: Set the weekDays property: List of days for the schedule.
withWeightColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.Classification: Set the weightColumnName property: The name of the sample weight column.
withWeightColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.Forecasting: Set the weightColumnName property: The name of the sample weight column.
withWeightColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.Regression: Set the weightColumnName property: The name of the sample weight column.
withWeightColumnName(String) - Method in class com.azure.resourcemanager.machinelearning.models.TableVertical: Set the weightColumnName property: The name of the sample weight column.
withWeightDecay(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettings: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightDecay(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightDecay(Float) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsObjectDetection: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightDecay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettings: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightDecay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightDecay(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsObjectDetection: Set the weightDecay property: Value of weight decay when optimizer is 'sgd', 'adam', or 'adamw'.
withWeightedLoss(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelSettingsClassification: Set the weightedLoss property: Weighted loss.
withWeightedLoss(String) - Method in class com.azure.resourcemanager.machinelearning.models.ImageModelDistributionSettingsClassification: Set the weightedLoss property: Weighted loss.
withWindowEnd(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Set the windowEnd property: [Required] The end date of the data window.
withWindowOffset(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Set the windowOffset property: [Required] The time offset between the end of the data window and the monitor's current run time.
withWindowSize(Duration) - Method in class com.azure.resourcemanager.machinelearning.models.RollingInputData: Set the windowSize property: [Required] The size of the rolling data window.
withWindowStart(OffsetDateTime) - Method in class com.azure.resourcemanager.machinelearning.models.StaticInputData: Set the windowStart property: [Required] The start date of the data window.
withWorkerCount(Integer) - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Set the workerCount property: Number of workers.
withWorkspaceHubConfig(WorkspaceHubConfig) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Set the workspaceHubConfig property: WorkspaceHub's configuration object.
withWorkspaceHubConfig(WorkspaceHubConfig) - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Set the workspaceHubConfig property: WorkspaceHub's configuration object.
withWorkspaceHubConfig(WorkspaceHubConfig) - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace.DefinitionStages.WithWorkspaceHubConfig: Specifies the workspaceHubConfig property: WorkspaceHub's configuration object..
withWorkspaceName(String) - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Set the workspaceName property: Name of Azure Machine Learning workspace.
withWorkspaceUrl(String) - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Set the workspaceUrl property: Workspace Url.
WO_ETARGET_ENCODER - Static variable in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Static value WoETargetEncoder for BlockedTransformers.
WORD_EMBEDDING - Static variable in class com.azure.resourcemanager.machinelearning.models.BlockedTransformers: Static value WordEmbedding for BlockedTransformers.
workerCount() - Method in class com.azure.resourcemanager.machinelearning.models.TensorFlow: Get the workerCount property: Number of workers.
Workspace - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of Workspace.
WORKSPACE_SYSTEM_ASSIGNED_IDENTITY - Static variable in class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity: Static value WorkspaceSystemAssignedIdentity for ServiceDataAccessAuthIdentity.
WORKSPACE_USER_ASSIGNED_IDENTITY - Static variable in class com.azure.resourcemanager.machinelearning.models.ServiceDataAccessAuthIdentity: Static value WorkspaceUserAssignedIdentity for ServiceDataAccessAuthIdentity.
Workspace.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the Workspace definition.
Workspace.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The Workspace definition stages.
Workspace.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the Workspace definition.
Workspace.DefinitionStages.WithAllowPublicAccessWhenBehindVnet - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify allowPublicAccessWhenBehindVnet.
Workspace.DefinitionStages.WithApplicationInsights - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify applicationInsights.
Workspace.DefinitionStages.WithAssociatedWorkspaces - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify associatedWorkspaces.
Workspace.DefinitionStages.WithContainerRegistry - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify containerRegistry.
Workspace.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
Workspace.DefinitionStages.WithDescription - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify description.
Workspace.DefinitionStages.WithDiscoveryUrl - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify discoveryUrl.
Workspace.DefinitionStages.WithEnableDataIsolation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify enableDataIsolation.
Workspace.DefinitionStages.WithEncryption - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify encryption.
Workspace.DefinitionStages.WithFeatureStoreSettings - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify featureStoreSettings.
Workspace.DefinitionStages.WithFriendlyName - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify friendlyName.
Workspace.DefinitionStages.WithHbiWorkspace - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify hbiWorkspace.
Workspace.DefinitionStages.WithHubResourceId - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify hubResourceId.
Workspace.DefinitionStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify identity.
Workspace.DefinitionStages.WithImageBuildCompute - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify imageBuildCompute.
Workspace.DefinitionStages.WithKeyVault - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify keyVault.
Workspace.DefinitionStages.WithKind - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify kind.
Workspace.DefinitionStages.WithLocation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify location.
Workspace.DefinitionStages.WithManagedNetwork - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify managedNetwork.
Workspace.DefinitionStages.WithPrimaryUserAssignedIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify primaryUserAssignedIdentity.
Workspace.DefinitionStages.WithPublicNetworkAccess - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify publicNetworkAccess.
Workspace.DefinitionStages.WithResourceGroup - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify parent resource.
Workspace.DefinitionStages.WithServerlessComputeSettings - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify serverlessComputeSettings.
Workspace.DefinitionStages.WithServiceManagedResourcesSettings - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify serviceManagedResourcesSettings.
Workspace.DefinitionStages.WithSharedPrivateLinkResources - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify sharedPrivateLinkResources.
Workspace.DefinitionStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify sku.
Workspace.DefinitionStages.WithStorageAccount - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify storageAccount.
Workspace.DefinitionStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify tags.
Workspace.DefinitionStages.WithV1LegacyMode - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify v1LegacyMode.
Workspace.DefinitionStages.WithWorkspaceHubConfig - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace definition allowing to specify workspaceHubConfig.
Workspace.Update - Interface in com.azure.resourcemanager.machinelearning.models: The template for Workspace update.
Workspace.UpdateStages - Interface in com.azure.resourcemanager.machinelearning.models: The Workspace update stages.
Workspace.UpdateStages.WithApplicationInsights - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify applicationInsights.
Workspace.UpdateStages.WithContainerRegistry - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify containerRegistry.
Workspace.UpdateStages.WithDescription - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify description.
Workspace.UpdateStages.WithEnableDataIsolation - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify enableDataIsolation.
Workspace.UpdateStages.WithEncryption - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify encryption.
Workspace.UpdateStages.WithFeatureStoreSettings - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify featureStoreSettings.
Workspace.UpdateStages.WithFriendlyName - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify friendlyName.
Workspace.UpdateStages.WithIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify identity.
Workspace.UpdateStages.WithImageBuildCompute - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify imageBuildCompute.
Workspace.UpdateStages.WithManagedNetwork - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify managedNetwork.
Workspace.UpdateStages.WithPrimaryUserAssignedIdentity - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify primaryUserAssignedIdentity.
Workspace.UpdateStages.WithPublicNetworkAccess - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify publicNetworkAccess.
Workspace.UpdateStages.WithServerlessComputeSettings - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify serverlessComputeSettings.
Workspace.UpdateStages.WithServiceManagedResourcesSettings - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify serviceManagedResourcesSettings.
Workspace.UpdateStages.WithSku - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify sku.
Workspace.UpdateStages.WithTags - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify tags.
Workspace.UpdateStages.WithV1LegacyMode - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the Workspace update allowing to specify v1LegacyMode.
WorkspaceConnectionAccessKey - Class in com.azure.resourcemanager.machinelearning.models: The WorkspaceConnectionAccessKey model.
WorkspaceConnectionAccessKey() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccessKey: Creates an instance of WorkspaceConnectionAccessKey class.
WorkspaceConnectionAccountKey - Class in com.azure.resourcemanager.machinelearning.models: The WorkspaceConnectionAccountKey model.
WorkspaceConnectionAccountKey() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionAccountKey: Creates an instance of WorkspaceConnectionAccountKey class.
WorkspaceConnectionApiKey - Class in com.azure.resourcemanager.machinelearning.models: Api key object for workspace connection credential.
WorkspaceConnectionApiKey() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionApiKey: Creates an instance of WorkspaceConnectionApiKey class.
WorkspaceConnectionManagedIdentity - Class in com.azure.resourcemanager.machinelearning.models: The WorkspaceConnectionManagedIdentity model.
WorkspaceConnectionManagedIdentity() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionManagedIdentity: Creates an instance of WorkspaceConnectionManagedIdentity class.
WorkspaceConnectionOAuth2 - Class in com.azure.resourcemanager.machinelearning.models: ClientId and ClientSecret are required.
WorkspaceConnectionOAuth2() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionOAuth2: Creates an instance of WorkspaceConnectionOAuth2 class.
WorkspaceConnectionPersonalAccessToken - Class in com.azure.resourcemanager.machinelearning.models: The WorkspaceConnectionPersonalAccessToken model.
WorkspaceConnectionPersonalAccessToken() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPersonalAccessToken: Creates an instance of WorkspaceConnectionPersonalAccessToken class.
WorkspaceConnectionPropertiesV2 - Class in com.azure.resourcemanager.machinelearning.models: The WorkspaceConnectionPropertiesV2 model.
WorkspaceConnectionPropertiesV2() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2: Creates an instance of WorkspaceConnectionPropertiesV2 class.
WorkspaceConnectionPropertiesV2BasicResource - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of WorkspaceConnectionPropertiesV2BasicResource.
WorkspaceConnectionPropertiesV2BasicResource.Definition - Interface in com.azure.resourcemanager.machinelearning.models: The entirety of the WorkspaceConnectionPropertiesV2BasicResource definition.
WorkspaceConnectionPropertiesV2BasicResource.DefinitionStages - Interface in com.azure.resourcemanager.machinelearning.models: The WorkspaceConnectionPropertiesV2BasicResource definition stages.
WorkspaceConnectionPropertiesV2BasicResource.DefinitionStages.Blank - Interface in com.azure.resourcemanager.machinelearning.models: The first stage of the WorkspaceConnectionPropertiesV2BasicResource definition.
WorkspaceConnectionPropertiesV2BasicResource.DefinitionStages.WithCreate - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the WorkspaceConnectionPropertiesV2BasicResource definition which contains all the minimum required properties for the resource to be created, but also allows for any other optional properties to be specified.
WorkspaceConnectionPropertiesV2BasicResource.DefinitionStages.WithParentResource - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the WorkspaceConnectionPropertiesV2BasicResource definition allowing to specify parent resource.
WorkspaceConnectionPropertiesV2BasicResource.DefinitionStages.WithProperties - Interface in com.azure.resourcemanager.machinelearning.models: The stage of the WorkspaceConnectionPropertiesV2BasicResource definition allowing to specify properties.
WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult - Class in com.azure.resourcemanager.machinelearning.models: The WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult model.
WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult: Creates an instance of WorkspaceConnectionPropertiesV2BasicResourceArmPaginatedResult class.
WorkspaceConnectionPropertiesV2BasicResourceInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The WorkspaceConnectionPropertiesV2BasicResource model.
WorkspaceConnectionPropertiesV2BasicResourceInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceConnectionPropertiesV2BasicResourceInner: Creates an instance of WorkspaceConnectionPropertiesV2BasicResourceInner class.
workspaceConnections() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of WorkspaceConnections.
WorkspaceConnections - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of WorkspaceConnections.
WorkspaceConnectionsClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in WorkspaceConnectionsClient.
WorkspaceConnectionServicePrincipal - Class in com.azure.resourcemanager.machinelearning.models: The WorkspaceConnectionServicePrincipal model.
WorkspaceConnectionServicePrincipal() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionServicePrincipal: Creates an instance of WorkspaceConnectionServicePrincipal class.
WorkspaceConnectionSharedAccessSignature - Class in com.azure.resourcemanager.machinelearning.models: The WorkspaceConnectionSharedAccessSignature model.
WorkspaceConnectionSharedAccessSignature() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionSharedAccessSignature: Creates an instance of WorkspaceConnectionSharedAccessSignature class.
WorkspaceConnectionUsernamePassword - Class in com.azure.resourcemanager.machinelearning.models: The WorkspaceConnectionUsernamePassword model.
WorkspaceConnectionUsernamePassword() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceConnectionUsernamePassword: Creates an instance of WorkspaceConnectionUsernamePassword class.
workspaceFeatures() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of WorkspaceFeatures.
WorkspaceFeatures - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of WorkspaceFeatures.
WorkspaceFeaturesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in WorkspaceFeaturesClient.
workspaceHubConfig() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the workspaceHubConfig property: WorkspaceHub's configuration object.
workspaceHubConfig() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the workspaceHubConfig property: WorkspaceHub's configuration object.
workspaceHubConfig() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the workspaceHubConfig property: WorkspaceHub's configuration object.
workspaceHubConfig() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the workspaceHubConfig property: WorkspaceHub's configuration object.
WorkspaceHubConfig - Class in com.azure.resourcemanager.machinelearning.models: WorkspaceHub's configuration object.
WorkspaceHubConfig() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceHubConfig: Creates an instance of WorkspaceHubConfig class.
workspaceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Get the workspaceId property: The immutable id associated with this workspace.
workspaceId() - Method in class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Get the workspaceId property: The immutable id associated with this workspace.
workspaceId() - Method in interface com.azure.resourcemanager.machinelearning.models.Workspace: Gets the workspaceId property: The immutable id associated with this workspace.
workspaceId() - Method in interface com.azure.resourcemanager.machinelearning.models.WorkspaceProperties: Gets the workspaceId property: The immutable id associated with this workspace.
WorkspaceInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: An object that represents a machine learning workspace.
WorkspaceInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.WorkspaceInner: Creates an instance of WorkspaceInner class.
WorkspaceListResult - Class in com.azure.resourcemanager.machinelearning.models: The result of a request to list machine learning workspaces.
WorkspaceListResult() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceListResult: Creates an instance of WorkspaceListResult class.
workspaceName() - Method in class com.azure.resourcemanager.machinelearning.models.SynapseSparkProperties: Get the workspaceName property: Name of Azure Machine Learning workspace.
WorkspaceProperties - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of WorkspaceProperties.
WorkspacePropertiesInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The properties of a machine learning workspace.
WorkspacePropertiesInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesInner: Creates an instance of WorkspacePropertiesInner class.
WorkspacePropertiesUpdateParameters - Interface in com.azure.resourcemanager.machinelearning.models: An immutable client-side representation of WorkspacePropertiesUpdateParameters.
WorkspacePropertiesUpdateParametersInner - Class in com.azure.resourcemanager.machinelearning.fluent.models: The parameters for updating the properties of a machine learning workspace.
WorkspacePropertiesUpdateParametersInner() - Constructor for class com.azure.resourcemanager.machinelearning.fluent.models.WorkspacePropertiesUpdateParametersInner: Creates an instance of WorkspacePropertiesUpdateParametersInner class.
workspaces() - Method in class com.azure.resourcemanager.machinelearning.MachineLearningManager: Gets the resource collection API of Workspaces.
Workspaces - Interface in com.azure.resourcemanager.machinelearning.models: Resource collection API of Workspaces.
WorkspacesClient - Interface in com.azure.resourcemanager.machinelearning.fluent: An instance of this class provides access to all the operations defined in WorkspacesClient.
WorkspaceUpdateParameters - Class in com.azure.resourcemanager.machinelearning.models: The parameters for updating a machine learning workspace.
WorkspaceUpdateParameters() - Constructor for class com.azure.resourcemanager.machinelearning.models.WorkspaceUpdateParameters: Creates an instance of WorkspaceUpdateParameters class.
workspaceUrl() - Method in class com.azure.resourcemanager.machinelearning.models.DatabricksProperties: Get the workspaceUrl property: Workspace Url.

X

XERO - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Xero for ConnectionCategory.
XGBOOST_CLASSIFIER - Static variable in class com.azure.resourcemanager.machinelearning.models.ClassificationModels: Static value XGBoostClassifier for ClassificationModels.
XGBOOST_REGRESSOR - Static variable in class com.azure.resourcemanager.machinelearning.models.ForecastingModels: Static value XGBoostRegressor for ForecastingModels.
XGBOOST_REGRESSOR - Static variable in class com.azure.resourcemanager.machinelearning.models.RegressionModels: Static value XGBoostRegressor for RegressionModels.

Y

YEAR - Static variable in class com.azure.resourcemanager.machinelearning.models.RollingRateType: Static value Year for RollingRateType.

Z

ZOHO - Static variable in class com.azure.resourcemanager.machinelearning.models.ConnectionCategory: Static value Zoho for ConnectionCategory.

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