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Programming"],"sub_categories":["NLP","Others"],"readme":".. -*- mode: rst -*-\n\n|PyPi|_ |Conda|_ |ReadTheDocs|_\n\n.. |PyPi| image:: https://img.shields.io/pypi/v/sklearn-genetic?style=flat-square\n.. _PyPi: https://pypi.org/project/sklearn-genetic\n\n.. |Conda| image:: https://img.shields.io/conda/v/conda-forge/sklearn-genetic?style=flat-square\n.. _Conda: https://anaconda.org/conda-forge/sklearn-genetic\n\n.. |ReadTheDocs| image:: https://readthedocs.org/projects/sklearn-genetic/badge/?version=latest\u0026style=flat-square\n.. _ReadTheDocs: https://sklearn-genetic.readthedocs.io/en/latest/?badge=latest\n\n***************\nsklearn-genetic\n***************\n\n**sklearn-genetic** is a genetic feature selection module for scikit-learn.\n\nGenetic algorithms mimic the process of natural selection to search for optimal values of a function.\n\nInstallation\n============\n\nDependencies\n------------\n\nsklearn-genetic requires:\n\n- Python (\u003e= 3.7)\n- scikit-learn (\u003e= 1.0)\n- deap (\u003e= 1.0.2)\n- numpy\n- multiprocess\n\nUser installation\n-----------------\n\nThe easiest way to install sklearn-genetic is using :code:`pip`\n\n.. code:: bash\n\n    pip install sklearn-genetic\n\nor :code:`conda`\n\n.. code:: bash\n\n    conda install -c conda-forge sklearn-genetic\n\nDocumentation\n=============\n\nInstallation documentation, API reference and examples can be found on the `documentation \u003chttps://sklearn-genetic.readthedocs.io\u003e`_.\n\nSee also\n========\n\n- `shapicant \u003chttps://github.com/manuel-calzolari/shapicant\u003e`_, a feature selection package based on SHAP and target permutation, for pandas and Spark\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmanuel-calzolari%2Fsklearn-genetic","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmanuel-calzolari%2Fsklearn-genetic","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmanuel-calzolari%2Fsklearn-genetic/lists"}