Model Registry
A Model Registry is a centralized repository store for managing the lifecycle of machine learning models. It stores model weights, parameter logs, version details, and deployment states.
Frequently Asked Questions
Why is a model registry important in MLOps?▼
It enables developers to track model versions, audit training runs, and automate migrations from staging to production.
What are popular model registry tools?▼
MLflow Model Registry, Weights & Biases Artifacts, and Hugging Face Hub.
Quick Facts
- CategoryModel Operations
- Key ApplicationMLOps infrastructure, deployment tracking, and automated model testing pipelines.
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