Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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: 3 months ago
JSON representation
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 (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-08-06T18:20:04.000Z (about 1 year ago)
- Last Synced: 2024-07-19T15:02:39.844Z (4 months 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: 1,487
- Watchers: 65
- Forks: 273
- Open Issues: 29
-
Metadata Files:
- Readme: README.rst
- Contributing: docs/contributing.rst
- License: LICENSE
Awesome Lists containing this project
- awesome-mlops - MLBox - MLBox is a powerful Automated Machine Learning python library. (AutoML)
- awesome-AutoML - MLBox
- awesome-python-machine-learning-resources - GitHub - 19% open · ⏱️ 25.08.2020): (超参数优化和AutoML)
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 `__
--------------------------
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