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MLflow

MLflow is an open-source platform for managing the end-to-end machine learning lifecycle. It tackles three primary functions:

  • Tracking experiments to record and compare parameters and results (MLflow Tracking).
  • Packaging ML code in a reusable, reproducible form to share with other data scientists or transfer to production (MLflow Projects).
  • Managing and deploying models from various ML libraries to different model serving and inference platforms (MLflow Models).

MLflow Deployment Scenario