MLflow

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• MLflow.org
• MLflow | GitHub
• Analytics ... Visualization ... Graphical Tools ... Diagrams & Business Analysis ... Requirements ... Loop ... Bayes ... Network Pattern
• Development ... Notebooks ... AI Pair Programming ... Codeless, Generators, Drag n' Drop ... AIOps/MLOps ... AIaaS/MLaaS
• Empowering Spark with MLflow | Albert Franzi - Towards Data Science
• Manage your Machine Learning Lifecycle with MLflow
• Databricks

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. It currently offers three components::

1. Tracking — Record and query experiments: code, data, config, and results.
2. Projects — Packaging format for reproducible runs on any platform.
3. Models — General format for sending models to diverse deployment tools.