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