What is model registry architecture in classification systems?

A model registry is a centralized system that manages versioning, metadata, and lifecycle of classification models.

A model registry tracks model versions, training datasets, hyperparameters, evaluation metrics, and deployment status. It ensures reproducibility and governance in ML systems. Teams can promote models from staging to production after validation. It integrates with CI/CD pipelines and enables rollback to previous versions in case of performance degradation.