Skip to main content

Genetic feature selection module for scikit-learn

Project description

PyPi Anaconda ReadTheDocs

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for sklearn-genetic, version 0.5.1
Filename, size File type Python version Upload date Hashes
Filename, size sklearn_genetic-0.5.1-py3-none-any.whl (11.3 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size sklearn-genetic-0.5.1.tar.gz (10.9 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page