# Uninstall azure-cli-ml (the `az ml` commands)
az extension remove -n azure-cli-ml
# Install local version of azure-cli-ml (which includes `az ml module` commands)
az extension add --source https://azuremlsdktestpypi.azureedge.net/CLI-SDK-Runners-Validation/15886596/azure_cli_ml-0.1.0.15886596-py3-none-any.whl --pip-extra-index-urls https://azuremlsdktestpypi.azureedge.net/CLI-SDK-Runners-Validation/15886596 --yes --debug
pip install azureml-pipeline-wrapper[steps,notebooks]==0.1.0.15886596 --extra-index-url https://azuremlsdktestpypi.azureedge.net/CLI-SDK-Runners-Validation/15886596
Confirm the version of installed azure-cli-ml
az extension list -o table
Prepare the environment
# Login
az login
Install
You can install the extension from marketplace.
How to build a module
In a module project created by extension, you can press Ctrl+Shift+B to build a module as python script to a yaml file.
Extension Settings
vs-azureml - Parent for settings
vs-azureml.knownWorkspaces - An array of your Azure ML workspaces that you want to be able to quickly switch.
vs-azureml.selectedWorkspace - the default Azure ML workspace you select
vs-azureml.recentProjects - An array of the module projects recently create or open
Telemetry
This extension collects telemetry data to help us build a better experience for building applications with Azure Machine Learning and VS Code. We only collect the following data:
Which commands of the extensions are executed, and the execution result (success/failure), and the error message.
Which commnads of the Azure Cli are executed, and the execution result (success/failure), and the error message.
The extension respects the telemetry.enableTelemetry setting which you can learn more about in our FAQ.
