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For more information, see manage Azure Machine Learning resources with the VS Code extension.

If you don't have a workspace, create one. Choose your default workspaceĬhoosing a default Azure Machine Learning workspace enables the following when authoring CLI (v2) YAML specification files: To sign into you Azure account, select the Azure: Sign In button in the bottom right corner on the Visual Studio Code status bar to start the sign in process. Visit the following site to learn more about the Azure Account extension. To assist with account management, Azure Machine Learning automatically installs the Azure Account extension. In order to provision resources and job workloads on Azure, you have to sign in with your Azure account credentials. For more information on modifying your settings in Visual Studio, see the user and workspace settings documentation. To switch to the 1.0 CLI, set the azureML.CLI Compatibility Mode setting in Visual Studio Code to 1.0. The Azure Machine Learning VS Code extension uses the CLI (v2) by default.

In the Extensions view search bar, type "Azure Machine Learning" and select the first extension. Select Extensions icon from the Activity Bar to open the Extensions view. For setup instructions, see Install, set up, and use the CLI (v2).

(Optional) To create resources using the extension, you need to install the CLI (v2).

If you don't have one, sign up to try the free or paid version of Azure Machine Learning. Certain features might not be supported or might have constrained capabilities.įor more information, see Supplemental Terms of Use for Microsoft Azure Previews. This preview version is provided without a service-level agreement, and it's not recommended for production workloads. This feature is currently in public preview.