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MLOps Academy · Lesson

Autolog with One Line of Code

Let MLflow capture sklearn and PyTorch runs automatically.

Logging by Hand Is Tedious

Calling log_param and log_metric for every value gets old fast. MLflow autolog captures most of it for you automatically.

One Line to Turn It On

Add a single call before training and autolog hooks into your library, recording params, metrics, and the model on its own.

import mlflow
mlflow.autolog()

All lessons in this course

  1. Install MLflow and Start Tracking
  2. Log Params, Metrics, and Artifacts
  3. Compare Runs in the MLflow UI
  4. Autolog with One Line of Code
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