Train models with scripts in Azure Machine Learning

In this module, you'll learn how to:

• Convert a notebook to a script.
• Test scripts in a terminal.
• Run a script as a command job.
• Use parameters in a command job.

In this module, you learn how to:

• Use MLflow when you run a script as a job.
• Review metrics, parameters, artifacts, and models from a run.

In this module, you'll learn how to:

• Define a hyperparameter search space.
• Configure hyperparameter sampling.
• Select an early-termination policy.
• Run a sweep job.

• Introduction
• Convert a notebook to a script
• Run a script as a command job
• Use parameters in a command job
• Exercise - Run a training script as a command job
• Knowledge check
• Summary

• Introduction
• Track metrics with MLflow
• View metrics and evaluate models
• Exercise - Use MLflow to track training jobs
• Knowledge check
• Summary

• Introduction
• Define a search space
• Configure a sampling method
• Configure early termination
• Use a sweep job for hyperparameter tuning
• Exercise - Run a sweep job
• Knowledge check
• Summary