Model Registry and Versioning
Registering models, staging (Staging/Production), model aliases, loading by version.
What Is the Model Registry?
The MLflow Model Registry is a central store for your models. It tracks named models, their versions, and lifecycle stages so a team always knows which model is in production and how it got there.
Why Versioning Matters
Models are retrained constantly. Versioning gives every retrain a number, lets you roll back instantly if a new model misbehaves, and ties each version to the run that produced it for full lineage.
All lessons in this course
- Experiment Tracking with MLflow
- Model Registry and Versioning
- Building Reproducible ML Pipelines
- Monitoring Model Performance in Production