AzureMLServiceLinkedService Class

Azure ML Service linked service.

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

Inheritance
azure.synapse.artifacts.models._models_py3.LinkedService
AzureMLServiceLinkedService

Constructor

AzureMLServiceLinkedService(*, subscription_id: object, resource_group_name: object, ml_workspace_name: object, additional_properties: Optional[Dict[str, object]] = None, connect_via: Optional[azure.synapse.artifacts.models._models_py3.IntegrationRuntimeReference] = None, description: Optional[str] = None, parameters: Optional[Dict[str, azure.synapse.artifacts.models._models_py3.ParameterSpecification]] = None, annotations: Optional[List[object]] = None, service_principal_id: Optional[object] = None, service_principal_key: Optional[azure.synapse.artifacts.models._models_py3.SecretBase] = None, tenant: Optional[object] = None, encrypted_credential: Optional[object] = None, **kwargs)

Parameters

additional_properties
dict[str, object]
Required

Unmatched properties from the message are deserialized to this collection.

type
str
Required

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

connect_via
IntegrationRuntimeReference
Required

The integration runtime reference.

description
str
Required

Linked service description.

parameters
dict[str, ParameterSpecification]
Required

Parameters for linked service.

annotations
list[object]
Required

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

subscription_id
object
Required

Required. Azure ML Service workspace subscription ID. Type: string (or Expression with resultType string).

resource_group_name
object
Required

Required. Azure ML Service workspace resource group name. Type: string (or Expression with resultType string).

ml_workspace_name
object
Required

Required. Azure ML Service workspace name. Type: string (or Expression with resultType string).

service_principal_id
object
Required

The ID of the service principal used to authenticate against the endpoint of a published Azure ML Service pipeline. Type: string (or Expression with resultType string).

service_principal_key
SecretBase
Required

The key of the service principal used to authenticate against the endpoint of a published Azure ML Service pipeline.

tenant
object
Required

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

encrypted_credential
object
Required

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