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 | 0.4.6-1.fc36 | - |
Fedora 35 | 0.4.2-5.fc35 | - |
Fedora 34 | 0.3.4-3.fc34 | - |
You can contact the maintainers of this package via email at
python-EvoPreprocess dash maintainers at fedoraproject dot org
.