AxeldeRomblay/MLBox

MLBox is a powerful Automated Machine Learning python library.

Python

1,534

1,005 commits

updated Aug 6, 2023

See the code

README

.. image:: docs/logos/logo.png

|Documentation Status| |PyPI version| |Build Status| |GitHub Issues| |codecov| |License| |Downloads| |Python Versions|

-----------------------

**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/>`__


--------------------------

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>`__.

.. |Documentation Status| image:: https://readthedocs.org/projects/mlbox/badge/?version=latest
   :target: https://mlbox.readthedocs.io/en/latest/
.. |PyPI version| image:: https://badge.fury.io/py/mlbox.svg
   :target: https://pypi.python.org/pypi/mlbox
.. |Build Status| image:: https://travis-ci.org/AxeldeRomblay/MLBox.svg?branch=master
   :target: https://travis-ci.org/AxeldeRomblay/MLBox
.. |GitHub Issues| image:: https://img.shields.io/github/issues/AxeldeRomblay/MLBox.svg
   :target: https://github.com/AxeldeRomblay/MLBox/issues
.. |codecov| image:: https://codecov.io/gh/AxeldeRomblay/MLBox/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/AxeldeRomblay/MLBox
.. |License| image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
   :target: https://github.com/AxeldeRomblay/MLBox/blob/master/LICENSE
.. |Downloads| image:: https://pepy.tech/badge/mlbox
   :target: https://pepy.tech/project/mlbox
.. |Python Versions| image:: https://img.shields.io/pypi/pyversions/mlbox.svg
   :target: https://pypi.org/project/mlbox

Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.

automated-machine-learning
auto-ml
automl
classification
data-science
deep-learning
distributed
drift
encoding
kaggle
keras
lightgbm
machine-learning
optimization
pipeline
prediction
preprocessing
regression
stacking
xgboost

AxeldeRomblay/MLBox

MLBox is a powerful Automated Machine Learning python library.

Python

1,534

1,005 commits

updated Aug 6, 2023

See the code

README

.. image:: docs/logos/logo.png

|Documentation Status| |PyPI version| |Build Status| |GitHub Issues| |codecov| |License| |Downloads| |Python Versions|

-----------------------

**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/>`__


--------------------------

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>`__.

.. |Documentation Status| image:: https://readthedocs.org/projects/mlbox/badge/?version=latest
   :target: https://mlbox.readthedocs.io/en/latest/
.. |PyPI version| image:: https://badge.fury.io/py/mlbox.svg
   :target: https://pypi.python.org/pypi/mlbox
.. |Build Status| image:: https://travis-ci.org/AxeldeRomblay/MLBox.svg?branch=master
   :target: https://travis-ci.org/AxeldeRomblay/MLBox
.. |GitHub Issues| image:: https://img.shields.io/github/issues/AxeldeRomblay/MLBox.svg
   :target: https://github.com/AxeldeRomblay/MLBox/issues
.. |codecov| image:: https://codecov.io/gh/AxeldeRomblay/MLBox/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/AxeldeRomblay/MLBox
.. |License| image:: https://img.shields.io/badge/License-BSD%203--Clause-blue.svg
   :target: https://github.com/AxeldeRomblay/MLBox/blob/master/LICENSE
.. |Downloads| image:: https://pepy.tech/badge/mlbox
   :target: https://pepy.tech/project/mlbox
.. |Python Versions| image:: https://img.shields.io/pypi/pyversions/mlbox.svg
   :target: https://pypi.org/project/mlbox

Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.

automated-machine-learning
auto-ml
automl
classification
data-science
deep-learning
distributed
drift
encoding
kaggle
keras
lightgbm
machine-learning
optimization
pipeline
prediction
preprocessing
regression
stacking
xgboost

Project health

PyPI

Latest release

0.8.5 · Aug 25, 2020

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