MLflow is an open-source platform for managing the end-to-end machine learning lifecycle, including experiment tracking, model versioning, and deployment. It provides a centralized tracking server with a web UI for comparing runs, logging metrics, and storing artifacts.
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MLflow is an open-source platform created by Databricks for managing the entire machine learning lifecycle. It provides tools for experiment tracking, reproducible runs, model packaging, and a centralized model registry. With over 25 million monthly package downloads and adoption…
