Genetic feature selection module for scikit-learn
Project description
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 pip
pip install sklearn-geneticor conda
conda install -c conda-forge sklearn-geneticDocumentation
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
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