Use MLflow to track experiments in Azure Databricks

  • Module
  • 7 Units
Intermediate
Data Scientist
Databricks

When you run data science and machine learning experiments at scale, you can use MLflow to track experiment runs and metrics.

Learning objectives

After completing this module, you will be able to:

  • Understand capabilities of MLflow
  • Use MLflow terminology
  • Run experiments

Prerequisites

Before starting this module, you should be familiar with using Python to train machine learning models in Azure Databricks.