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 :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
Project details
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