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.. |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

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sklearn-genetic

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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 <https://sklearn-genetic.readthedocs.io>_.

See also

• shapicant <https://github.com/manuel-calzolari/shapicant>_, a feature selection package based on SHAP and target permutation, for pandas and Spark