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https://github.com/AxeldeRomblay/MLBox

MLBox is a powerful Automated Machine Learning python library.
https://github.com/AxeldeRomblay/MLBox

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

Last synced: about 1 month ago
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MLBox is a powerful Automated Machine Learning python library.

Host: GitHub
URL: https://github.com/AxeldeRomblay/MLBox
Owner: AxeldeRomblay
License: other
Created: 2017-06-01T16:59:24.000Z (about 7 years ago)
Default Branch: master
Last Pushed: 2023-08-06T18:20:04.000Z (10 months ago)
Last Synced: 2024-05-03T16:15:02.322Z (about 1 month ago)
Topics: auto-ml, automated-machine-learning, automl, classification, data-science, deep-learning, distributed, drift, encoding, kaggle, keras, lightgbm, machine-learning, optimization, pipeline, prediction, preprocessing, regression, stacking, xgboost
Language: Python
Homepage: https://mlbox.readthedocs.io/en/latest/
Size: 50 MB
Stars: 1,477
Watchers: 65
Forks: 275
Open Issues: 29
Metadata Files:
- Readme: README.rst
- Contributing: docs/contributing.rst
- License: LICENSE

Lists

awesome-python-data-science - MLBox - A powerful Automated Machine Learning python library. (Automated Machine Learning / Others)
awesome-auto-ml - MLBox - MLBox is a powerful Automated Machine Learning python library. https://mlbox.readthedocs.io/en/latest/ (Frameworks and libraries / :snake: Python)
awesome-mlops - MLBox - MLBox is a powerful Automated Machine Learning python library. (AutoML)
awesome-AI-books - MLBox - MLBox is a powerful Automated Machine Learning python library (Libs With Online Books / Philosophy)
awesome-AutoML - MLBox
fintech-awesome-libraries - MLBox - A powerful Automated Machine Learning python library. (Machine Learning / Automated Machine Learning)
my-awesome-stars - AxeldeRomblay/MLBox - MLBox is a powerful Automated Machine Learning python library. (Python)
awesome-AI-books - MLBox - MLBox is a powerful Automated Machine Learning python library (Libs With Online Books / Deep Learning)
awesome-automl - AxeldeRomblay/MLBox - of-the-art algorithms such as LightGBM and XGBoost. It also supports model stacking, which allows you to combine an information ensemble of models to generate a new model aiming to have better performance than the individual models. (Libraries / Distributed Frameworks)
awesome-stars - AxeldeRomblay/MLBox - MLBox is a powerful Automated Machine Learning python library. (optimization)
awesome-python-machine-learning-resources - GitHub - 19% open · ⏱️ 25.08.2020): (超参数优化和AutoML)
awesome-stars - AxeldeRomblay/MLBox - MLBox is a powerful Automated Machine Learning python library. (Python)
awesome-python-data-science - MLBox - Automated Machine Learning python library. (AutoML)
awesome_automl_libraries - MLBox - MLBox is a powerful Automated Machine Learning python library (Misc)
awesome-python-data-science - MLBox - A powerful Automated Machine Learning python library. (Machine Learning / Automated Machine Learning)
awesome-stars - AxeldeRomblay/MLBox - MLBox is a powerful Automated Machine Learning python library. (Python)

README

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

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

**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:: 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