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Interface KeyAuthAzureMachineLearningVectorizerParameters

Specifies the properties for connecting to an AML vectorizer with an authentication key.

interface KeyAuthAzureMachineLearningVectorizerParameters {
    authenticationKey: string;
    authKind: "key";
    modelName?: string;
    scoringUri: string;
    timeout?: string;
}

Hierarchy (view full)

Properties

authenticationKey authKind modelName? scoringUri timeout?

Properties

authenticationKey

authenticationKey: string

The key for the AML service.

authKind

authKind

Indicates how the service should attempt to identify itself to the AML instance

OptionalmodelName

modelName?: string

The name of the embedding model from the Azure AI Studio Catalog that is deployed at the provided endpoint.

scoringUri

scoringUri: string

The scoring URI of the AML service to which the JSON payload will be sent. Only the https URI scheme is allowed.

Optionaltimeout

timeout?: string

When specified, indicates the timeout for the http client making the API call.

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