MLBox

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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 <https://mlbox.readthedocs.io/en/latest/>__

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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 <https://github.com/AxeldeRomblay/MLBox/labels/call-for-contributions>__ to see what can be improved, or open an issue if you want something.
• Contribute to the tests <https://github.com/AxeldeRomblay/MLBox/tree/master/tests>__ to make it more reliable.
• Contribute to the documents <https://github.com/AxeldeRomblay/MLBox/tree/master/docs>__ to make it clearer for everyone.
• Contribute to the examples <https://github.com/AxeldeRomblay/MLBox/tree/master/examples>__ to share your experience with other users.
• Open issue <https://github.com/AxeldeRomblay/MLBox/issues>__ if you met problems during development.

For more details, please refer to CONTRIBUTING <https://github.com/AxeldeRomblay/MLBox/blob/master/docs/contributing.rst>__.

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