Summary

In this module, you learned how to:

  • Use an Estimator to run a model training script as an Azure Machine Learning experiment.
  • Create reusable, parameterized training scripts.
  • Register models, including metadata such as performance metrics.

Check your knowledge

1.

You have written a script that uses the Scikit-Learn framework to train a model. Which framework-specific estimator should you use to run the script as an experiment?

2.

You have run an experiment to train a model. You want the model to be stored in the workspace, and available to other experiments and published services. What should you do?