Originally published at mlopslab.org/mlflow-tutorial — updated weekly. 0 sponsors, 0 affiliate links.

⚡ Quick answer: MLflow is an open-source platform that tracks everything about your ML experiments — parameters, metrics, model artifacts, and code versions — so you can reproduce any result and never lose a winning configuration again. You'll have your first experiment tracked in under 20 minutes.

Table of Contents

What is MLflow?

Before you start

Step 1 — Install MLflow

Step 2 — Start the tracking server

Step 3 — Write your first tracking script

Step 4 — View results in the UI

Step 5 — Compare multiple runs

What to learn next

FAQ

1.…