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MLBox is a powerful Automated Machine Learning python library. It provides the following features:

  • Fast reading and distributed data preprocessing/cleaning/formatting
  • Highly robust feature selection and leak detection
  • Accurate hyper-parameter optimization in high-dimensional space
  • State-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM,...)
  • Prediction with models interpretation

For more details, please refer to the official documentation <>__

How to Contribute

MLBox has been developed and used by many active community members. Your help is very valuable to make it better for everyone.

  • Check out call for contributions <>__ to see what can be improved, or open an issue if you want something.
  • Contribute to the tests <>__ to make it more reliable.
  • Contribute to the documents <>__ to make it clearer for everyone.
  • Contribute to the examples <>__ to share your experience with other users.
  • Open issue <>__ if you met problems during development.

For more details, please refer to CONTRIBUTING <>__.

.. |Documentation Status| image:: :target: .. |PyPI version| image:: :target: .. |Build Status| image:: :target: .. |GitHub Issues| image:: :target: .. |codecov| image:: :target: .. |License| image:: :target: .. |Downloads| image:: :target: .. |Python Versions| image:: :target:

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