04 - Experiment Tracking with MLflow: Setup, Logging, Comparison

Complete guide to Experiment Tracking with MLflow: Setup, Logging, Comparison: architecture, practical implementation and best practices for developers and technical teams.

What you'll learn

• MLflow Architecture: The Four Core Components
• MLflow Setup: From Local to Production
• Experiment Tracking: Logging Params, Metrics, and Artifacts
• Nested Runs and Hyperparameter Search
• Autologging: Zero-Config Tracking

This article is part of the MLOps series on federicocalo.dev.

Read the full article

The complete article (18 min read) with code examples, diagrams, and practical exercises is available here:

➡️ 04 - Experiment Tracking with MLflow: Setup, Logging, Comparison

https://federicocalo.dev/en/blog/experiment-tracking-mlflow-setup-logging-comparison

By Federico Calò — Software Developer & Technical Writer