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MLflow Model Registry: A Centralized Platform for Managing Machine Learning Models

Table of Contents

MLflow Model Registry: A Centralized Platform for Managing Machine Learning Models

MLflow Model Registry is an extension of MLflow Tracking that allows you to store and categorize machine learning models using version control, aliases, and tags.

Once a model has been selected, it can be easily deployed as a service on the host, making it accessible for use in production environments.

Learn more about MLflow model registry.

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Work with Khuyen Tran

Work with Khuyen Tran