Contains functionality for managing a workspace, the top-level resource in Azure Machine Learning.
This module contains the Workspace class and its methods and attributes that allows you to manage machine learning artifacts like compute targets, environments, data stores, experiments, and models. A workspace is tied to an Azure subscription and resource group, and is the primary means for billing. Workspaces support Azure Resource Manager role-based access control (RBAC) and region affinity for all machine learning data saved within the workspace.
Defines an Azure Machine Learning resource for managing training and deployment artifacts.
A Workspace is a fundamental resource for machine learning in Azure Machine Learning. You use a workspace to experiment, train, and deploy machine learning models. Each workspace is tied to an Azure subscription and resource group, and has an associated SKU.
For more information about workspaces, see: