Public preview: Azure Machine Learning updates - November 2021

Improve your productivity with integrated test datasets support and test metrics stored in an Azure Machine Learning workspace. Traceability and historic data is stored in organized structures based on AutoML runs within Azure ML workspace. Improve upon your workflow of manual test metrics calculation in a Python notebook and manual metrics stored in any information repository.

With storage account IP firewall support by Azure Machine Learning, you have the flexibility to let the public users use the data in storage behind the virtual network without configuring the private link enabled workspace.

Azure Machine Learning is expanding the CLI (v2) preview that will allow users to perform all operations offered by the service through the CLI. The CLI interface is backed by YAML-based definition of assets (jobs, data, compute) to now include pipeline.

For more information visit:

• Test AutoML models and calculate test metrics
• Public workspace and secured resources
• Install and set up the CLI (v2)