What is Model Registry?

A Model Registry is a centralized repository for managing machine learning models. It tracks model versions, metadata (such as training parameters, data sources, and performance metrics), and lineage. It facilitates model deployment, monitoring, and governance by providing a single source of truth for all models within an organization. Common uses include version control for models, collaboration among data scientists, and streamlined model deployment pipelines.