Work with MLflow in Azure Databricks

Intermediate
Data Scientist
Databricks

Use MLflow to track machine learning experiments. Each experiment run can record parameters, metrics, artifacts, source code, and model.

Learning objectives

In this module, you will learn how to:

  • Use MLflow to track experiments, log metrics, and compare runs
  • Work with MLflow to track experiment metrics, parameters, artifacts and models.

Prerequisites

None