Exam Certified Machine Learning Professional topic 1 question 55 discussion

The Model Registry is where trained machine learning models are stored, versioned, and managed in a centralized manner. Doc: https://docs.databricks.com/en/mlflow/model-registry.html

MLflow Model Registry: This is a centralized model store that helps manage the full lifecycle of MLflow Models. It provides model versioning, annotating, and stage transitions through a model's lifecycle, from staging to production. It also offers REST API for integrating with external CI/CD tools and multi-workspace capabilities for using a unified Model Registry across multiple workspaces via Unity Catalog.