AzureMLLinkedService Class

Azure ML Studio Web Service linked service.

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

Inheritance

azure.mgmt.datafactory.models._models_py3.LinkedService

AzureMLLinkedService

Constructor

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

Variables

additional_properties

dict[str, any]

Unmatched properties from the message are deserialized to this collection.

type

str

Required. Type of linked service.Constant filled by server.

connect_via

IntegrationRuntimeReference

The integration runtime reference.

description

str

Linked service description.

parameters

dict[str, ParameterSpecification]

Parameters for linked service.

annotations

list[any]

List of tags that can be used for describing the linked service.

ml_endpoint

any

Required. The Batch Execution REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string).

api_key

SecretBase

Required. The API key for accessing the Azure ML model endpoint.

update_resource_endpoint

any

The Update Resource REST URL for an Azure ML Studio Web Service endpoint. Type: string (or Expression with resultType string).

service_principal_id

any

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

any

The name or ID of the tenant to which the service principal belongs. Type: string (or Expression with resultType string).

encrypted_credential

any

The encrypted credential used for authentication. Credentials are encrypted using the integration runtime credential manager. Type: string (or Expression with resultType string).

authentication

any

Type of authentication (Required to specify MSI) used to connect to AzureML. Type: string (or Expression with resultType string).