Class AzureMLLinkedService
Azure ML Studio Web Service linked service.
Inherited Members
Namespace: System.Dynamic.ExpandoObject
Assembly: Azure.Analytics.Synapse.Artifacts.dll
Syntax
[System.Text.Json.Serialization.JsonConverter(typeof(Azure.Analytics.Synapse.Artifacts.Models.AzureMLLinkedService/AzureMLLinkedServiceConverter))]
public class AzureMLLinkedService : Azure.Analytics.Synapse.Artifacts.Models.LinkedService
Constructors
AzureMLLinkedService(Object, SecretBase)
Initializes a new instance of AzureMLLinkedService.
Declaration
public AzureMLLinkedService (object mlEndpoint, Azure.Analytics.Synapse.Artifacts.Models.SecretBase apiKey);
Parameters
|
System.Object
mlEndpoint
The Batch Execution REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string). |
|
SecretBase
apiKey
The API key for accessing the Azure ML model endpoint. Please note SecretBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AzureKeyVaultSecretReference and SecureString. |
Exceptions
|
System.ArgumentNullException
|
Properties
ApiKey
The API key for accessing the Azure ML model endpoint. Please note SecretBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AzureKeyVaultSecretReference and SecureString.
Declaration
public Azure.Analytics.Synapse.Artifacts.Models.SecretBase ApiKey { get; set; }
Property Value
|
SecretBase
|
Authentication
Type of authentication (Required to specify MSI) used to connect to AzureML. Type: string (or Expression with resultType string).
Declaration
public object Authentication { get; set; }
Property Value
|
System.Object
|
EncryptedCredential
The encrypted credential used for authentication. Credentials are encrypted using the integration runtime credential manager. Type: string (or Expression with resultType string).
Declaration
public object EncryptedCredential { get; set; }
Property Value
|
System.Object
|
MlEndpoint
The Batch Execution REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string).
Declaration
public object MlEndpoint { get; set; }
Property Value
|
System.Object
|
ServicePrincipalId
The ID of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service. Type: string (or Expression with resultType string).
Declaration
public object ServicePrincipalId { get; set; }
Property Value
|
System.Object
|
ServicePrincipalKey
The key of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service. Please note SecretBase is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AzureKeyVaultSecretReference and SecureString.
Declaration
public Azure.Analytics.Synapse.Artifacts.Models.SecretBase ServicePrincipalKey { get; set; }
Property Value
|
SecretBase
|
Tenant
The name or ID of the tenant to which the service principal belongs. Type: string (or Expression with resultType string).
Declaration
public object Tenant { get; set; }
Property Value
|
System.Object
|
UpdateResourceEndpoint
The Update Resource REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string).
Declaration
public object UpdateResourceEndpoint { get; set; }
Property Value
|
System.Object
|