Run training scripts and track models with MLflow in Azure Machine Learning

Module
9 Units

Beginner

Data Scientist

Azure Machine Learning

Choose this module if you want to convert notebooks to training scripts, run command jobs, and track models with MLflow.

Learning objectives

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

Introduction min
Convert a notebook to a script min
Run a script as a command job min
Use parameters in a command job min
Track metrics with MLflow min
View metrics and evaluate models min
Exercise - Optimize model training in Azure Machine Learning min
Module assessment min
Summary min