Track model training with MLflow in jobs

Module
6 Units

Beginner

Data Scientist

Azure Machine Learning

Learn how to track model training with MLflow in jobs when running scripts.

Learning objectives

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.

Prerequisites

None

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