A Python Toolkit for Data Preprocessing
EvoPreprocess is a Python toolkit for sampling datasets, instance weighting, and feature selection. It is compatible with scikit-learn and imbalanced-learn packages. It is based on the NiaPy library for the implementation of nature-inspired algorithms.
Release | Stable | Testing |
---|---|---|
Fedora Rawhide | 0.5.0-6.fc40 | - |
Fedora 40 | 0.5.0-6.fc40 | - |
Fedora 39 | 0.5.0-2.fc39 | - |
Fedora 38 | 0.5.0-1.fc38 | - |
You can contact the maintainers of this package via email at
python-EvoPreprocess dash maintainers at fedoraproject dot org
.