Source code for azure.mgmt.datafactory.models.azure_ml_update_resource_activity_py3

# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------

from .execution_activity_py3 import ExecutionActivity


[docs]class AzureMLUpdateResourceActivity(ExecutionActivity): """Azure ML Update Resource management activity. All required parameters must be populated in order to send to Azure. :param additional_properties: Unmatched properties from the message are deserialized this collection :type additional_properties: dict[str, object] :param name: Required. Activity name. :type name: str :param description: Activity description. :type description: str :param depends_on: Activity depends on condition. :type depends_on: list[~azure.mgmt.datafactory.models.ActivityDependency] :param user_properties: Activity user properties. :type user_properties: list[~azure.mgmt.datafactory.models.UserProperty] :param type: Required. Constant filled by server. :type type: str :param linked_service_name: Linked service reference. :type linked_service_name: ~azure.mgmt.datafactory.models.LinkedServiceReference :param policy: Activity policy. :type policy: ~azure.mgmt.datafactory.models.ActivityPolicy :param trained_model_name: Required. Name of the Trained Model module in the Web Service experiment to be updated. Type: string (or Expression with resultType string). :type trained_model_name: object :param trained_model_linked_service_name: Required. Name of Azure Storage linked service holding the .ilearner file that will be uploaded by the update operation. :type trained_model_linked_service_name: ~azure.mgmt.datafactory.models.LinkedServiceReference :param trained_model_file_path: 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). :type trained_model_file_path: object """ _validation = { 'name': {'required': True}, 'type': {'required': True}, 'trained_model_name': {'required': True}, 'trained_model_linked_service_name': {'required': True}, 'trained_model_file_path': {'required': True}, } _attribute_map = { 'additional_properties': {'key': '', 'type': '{object}'}, 'name': {'key': 'name', 'type': 'str'}, 'description': {'key': 'description', 'type': 'str'}, 'depends_on': {'key': 'dependsOn', 'type': '[ActivityDependency]'}, 'user_properties': {'key': 'userProperties', 'type': '[UserProperty]'}, 'type': {'key': 'type', 'type': 'str'}, 'linked_service_name': {'key': 'linkedServiceName', 'type': 'LinkedServiceReference'}, 'policy': {'key': 'policy', 'type': 'ActivityPolicy'}, 'trained_model_name': {'key': 'typeProperties.trainedModelName', 'type': 'object'}, 'trained_model_linked_service_name': {'key': 'typeProperties.trainedModelLinkedServiceName', 'type': 'LinkedServiceReference'}, 'trained_model_file_path': {'key': 'typeProperties.trainedModelFilePath', 'type': 'object'}, } def __init__(self, *, name: str, trained_model_name, trained_model_linked_service_name, trained_model_file_path, additional_properties=None, description: str=None, depends_on=None, user_properties=None, linked_service_name=None, policy=None, **kwargs) -> None: super(AzureMLUpdateResourceActivity, self).__init__(additional_properties=additional_properties, name=name, description=description, depends_on=depends_on, user_properties=user_properties, linked_service_name=linked_service_name, policy=policy, **kwargs) self.trained_model_name = trained_model_name self.trained_model_linked_service_name = trained_model_linked_service_name self.trained_model_file_path = trained_model_file_path self.type = 'AzureMLUpdateResource'