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#Models — General format for sending models to diverse deployment tools. | #Models — General format for sending models to diverse deployment tools. | ||
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Revision as of 02:27, 16 March 2019
Youtube search... ...Google search
- MLflow.org
- MLflow | GitHub
- Empowering Spark with MLflow | Albert Franzi - Towards Data Science
- Manage your Machine Learning Lifecycle with MLflow
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.
