AzureMLUpdateResourceActivity Class

Azure ML Update Resource management activity.

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

Inheritance

azure.mgmt.datafactory.models._models_py3.ExecutionActivity

AzureMLUpdateResourceActivity

Constructor

AzureMLUpdateResourceActivity(*, name: str, trained_model_name: Any, trained_model_linked_service_name: _models.LinkedServiceReference, trained_model_file_path: Any, additional_properties: Optional[Dict[str, Any]] = None, description: Optional[str] = None, depends_on: Optional[List[_models.ActivityDependency]] = None, user_properties: Optional[List[_models.UserProperty]] = None, linked_service_name: Optional[_models.LinkedServiceReference] = None, policy: Optional[_models.ActivityPolicy] = None, **kwargs)

Variables

additional_properties

dict[str, any]

Unmatched properties from the message are deserialized to this collection.

name

str

Required. Activity name.

type

str

Required. Type of activity.Constant filled by server.

description

str

Activity description.

depends_on

list[ActivityDependency]

Activity depends on condition.

user_properties

list[UserProperty]

Activity user properties.

linked_service_name

LinkedServiceReference

Linked service reference.

policy

ActivityPolicy

Activity policy.

trained_model_name

any

Required. Name of the Trained Model module in the Web Service experiment to be updated. Type: string (or Expression with resultType string).

trained_model_linked_service_name

LinkedServiceReference

Required. Name of Azure Storage linked service holding the .ilearner file that will be uploaded by the update operation.

trained_model_file_path

any

Required. The relative file path in trainedModelLinkedService to represent the .ilearner file that will be uploaded by the update operation. Type: string (or Expression with resultType string).