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Eedeleon/release skinny client (mlflow#4049)
* Prepare for mlflow skinny release Signed-off-by: Eduardo de Leon <eddeleon@microsoft.com> * Add content type back Signed-off-by: Eduardo de Leon <eddeleon@microsoft.com> * RST cleanup * Update README_SKINNY.rst * Update README_SKINNY.rst Co-authored-by: Harutaka Kawamura <hkawamura0130@gmail.com> * Add blank line Signed-off-by: harupy <17039389+harupy@users.noreply.github.com> Co-authored-by: dbczumar <39497902+dbczumar@users.noreply.github.com> Co-authored-by: Harutaka Kawamura <hkawamura0130@gmail.com> Co-authored-by: harupy <17039389+harupy@users.noreply.github.com>
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======================================================================= | ||
MLflow Skinny: A Lightweight Machine Learning Lifecycle Platform Client | ||
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MLflow Skinny is a lightweight MLflow package without SQL storage, server, UI, or data science dependencies. | ||
MLflow Skinny supports: | ||
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* Tracking operations (logging / loading / searching params, metrics, tags + logging / loading artifacts) | ||
* Model registration, search, artifact loading, and transitions | ||
* Execution of GitHub projects within notebook & against a remote target. | ||
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Additional dependencies can be installed to leverage the full feature set of MLflow. For example: | ||
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* To use the `mlflow.sklearn` component of MLflow Models, install `scikit-learn`, `numpy`, and `pandas`. | ||
* To use SQL-based metadata storage, install `sqlalchemy`, `alembic`, and `sqlparse`. | ||
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