AzureMLLinkedService Class

Azure ML Studio Web Service linked service.

All required parameters must be populated in order to send to server.

Inheritance

azure.mgmt.datafactory.models._models_py3.LinkedService

AzureMLLinkedService

Constructor

AzureMLLinkedService(*, ml_endpoint: MutableMapping[str, Any], api_key: _models.SecretBase, additional_properties: Dict[str, MutableMapping[str, Any]] | None = None, version: str | None = None, connect_via: _models.IntegrationRuntimeReference | None = None, description: str | None = None, parameters: Dict[str, _models.ParameterSpecification] | None = None, annotations: List[MutableMapping[str, Any]] | None = None, update_resource_endpoint: MutableMapping[str, Any] | None = None, service_principal_id: MutableMapping[str, Any] | None = None, service_principal_key: _models.SecretBase | None = None, tenant: MutableMapping[str, Any] | None = None, encrypted_credential: str | None = None, authentication: MutableMapping[str, Any] | None = None, **kwargs: Any)

Keyword-Only Parameters

Name	Description
additional_properties	dict[str, <xref:JSON>] Unmatched properties from the message are deserialized to this collection.
version	str Version of the linked service.
connect_via	IntegrationRuntimeReference The integration runtime reference.
description	str Linked service description.
parameters	dict[str, ParameterSpecification] Parameters for linked service.
annotations	list[<xref:JSON>] List of tags that can be used for describing the linked service.
ml_endpoint	<xref:JSON> The Batch Execution REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string). Required.
api_key	SecretBase The API key for accessing the Azure ML model endpoint. Required.
update_resource_endpoint	<xref:JSON> The Update Resource REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string).
service_principal_id	<xref:JSON> 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).
service_principal_key	SecretBase The key of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service.
tenant	<xref:JSON> The name or ID of the tenant to which the service principal belongs. Type: string (or Expression with resultType string).
encrypted_credential	str The encrypted credential used for authentication. Credentials are encrypted using the integration runtime credential manager. Type: string.
authentication	<xref:JSON> Type of authentication (Required to specify MSI) used to connect to AzureML. Type: string (or Expression with resultType string).

Variables

Name	Description
additional_properties	dict[str, <xref:JSON>] Unmatched properties from the message are deserialized to this collection.
type	str Type of linked service. Required.
version	str Version of the linked service.
connect_via	IntegrationRuntimeReference The integration runtime reference.
description	str Linked service description.
parameters	dict[str, ParameterSpecification] Parameters for linked service.
annotations	list[<xref:JSON>] List of tags that can be used for describing the linked service.
ml_endpoint	<xref:JSON> The Batch Execution REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string). Required.
api_key	SecretBase The API key for accessing the Azure ML model endpoint. Required.
update_resource_endpoint	<xref:JSON> The Update Resource REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string).
service_principal_id	<xref:JSON> 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).
service_principal_key	SecretBase The key of the service principal used to authenticate against the ARM-based updateResourceEndpoint of an Azure ML Studio web service.
tenant	<xref:JSON> The name or ID of the tenant to which the service principal belongs. Type: string (or Expression with resultType string).
encrypted_credential	str The encrypted credential used for authentication. Credentials are encrypted using the integration runtime credential manager. Type: string.
authentication	<xref:JSON> Type of authentication (Required to specify MSI) used to connect to AzureML. Type: string (or Expression with resultType string).