https://github.com/manuel-calzolari/sklearn-genetic
Genetic feature selection module for scikit-learn
https://github.com/manuel-calzolari/sklearn-genetic
Last synced: 26 days ago
JSON representation
Genetic feature selection module for scikit-learn
- Host: GitHub
- URL: https://github.com/manuel-calzolari/sklearn-genetic
- Owner: manuel-calzolari
- License: lgpl-3.0
- Created: 2016-06-09T15:19:03.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2024-01-20T12:54:45.000Z (almost 2 years ago)
- Last Synced: 2025-10-21T19:47:34.328Z (26 days ago)
- Language: Python
- Homepage: https://sklearn-genetic.readthedocs.io
- Size: 71.3 KB
- Stars: 323
- Watchers: 10
- Forks: 77
- Open Issues: 10
-
Metadata Files:
- Readme: README.rst
- License: LICENSE.txt
- Citation: CITATION.cff
Awesome Lists containing this project
- awesome-python-data-science - sklearn-genetic - Genetic feature selection module for scikit-learn. <img height="20" src="img/sklearn_big.png" alt="sklearn"> (Genetic Programming / NLP)
- awesome-python-data-science - sklearn-genetic - Genetic feature selection module for scikit-learn. <img height="20" src="img/sklearn_big.png" alt="sklearn"> (Genetic Programming / Others)
README
.. -*- mode: rst -*-
|PyPi|_ |Conda|_ |ReadTheDocs|_
.. |PyPi| image:: https://img.shields.io/pypi/v/sklearn-genetic?style=flat-square
.. _PyPi: https://pypi.org/project/sklearn-genetic
.. |Conda| image:: https://img.shields.io/conda/v/conda-forge/sklearn-genetic?style=flat-square
.. _Conda: https://anaconda.org/conda-forge/sklearn-genetic
.. |ReadTheDocs| image:: https://readthedocs.org/projects/sklearn-genetic/badge/?version=latest&style=flat-square
.. _ReadTheDocs: https://sklearn-genetic.readthedocs.io/en/latest/?badge=latest
***************
sklearn-genetic
***************
**sklearn-genetic** is a genetic feature selection module for scikit-learn.
Genetic algorithms mimic the process of natural selection to search for optimal values of a function.
Installation
============
Dependencies
------------
sklearn-genetic requires:
- Python (>= 3.7)
- scikit-learn (>= 1.0)
- deap (>= 1.0.2)
- numpy
- multiprocess
User installation
-----------------
The easiest way to install sklearn-genetic is using :code:`pip`
.. code:: bash
pip install sklearn-genetic
or :code:`conda`
.. code:: bash
conda install -c conda-forge sklearn-genetic
Documentation
=============
Installation documentation, API reference and examples can be found on the `documentation `_.
See also
========
- `shapicant `_, a feature selection package based on SHAP and target permutation, for pandas and Spark