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Lab 2 - Using Azure Machine Learning service Model Versioning and Run History

In this lab you will use the capabilities of the Azure Machine Learning service to collect model performance metrics and to capture model version, as well as query the experimentation run history to retrieve captured metrics.

Exercise 0 - Get the lab files

If you have not cloned this repository to your working environment, do so now. All of the artifacts for this lab are located under starter-artifacts/databricks.

  1. From the Azure Portal, navigate to your deployed Azure Databricks workspace and select Launch Workspace.
  2. Within the Workspace, using the command bar on the left, select Workspace, Users and select your username (the entry with house icon).
  3. In the blade that appears, select the downwards pointing chevron next to your name, and select Import.
  4. On the Import Notebooks dialog, select File.
  5. Select browse and then navigate to starter-artifacts/databricks and select azure-ml-labs.dbc
  6. Select Import.
  7. A folder named after the archive should appear. Select that folder.
  8. Navigate into the folder 02 Model Management
  9. The folder will contain one or more notebooks. These are the notebooks you will use in completing this lab. Start with the first notebook and follow the instructions.