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
1 maintainer
Metadata
1 maintainer
Release files for sklearn-genetic 0.6.0
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Source distribution (sdist)
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| sklearn-genetic-0.6.0.tar.gz | 11.0 kB | Without provenance | Details |
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| sklearn_genetic-0.6.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.6 kB
Release files / sklearn-genetic-0.6.0.tar.gz
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Release files / sklearn_genetic-0.6.0-py3-none-any.whl
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| Size | 11.6 kB |
| Tags | Python 3 |
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