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Genetic feature selection module for scikit-learn

Project description

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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 (>= 3.6)

  • scikit-learn (>= 0.23)

  • deap (>= 1.0.2)

  • numpy

  • multiprocess

User installation

The easiest way to install sklearn-genetic is using pip

pip install sklearn-genetic

or conda

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

Project details


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