python3-imbalanced-learn Subpackage of python-imbalanced-learn
A Python Package to Tackle the Imbalanced Datasets in Machine Learning
imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance. It is compatible with scikit-learn and is part of scikit-learn-contrib projects.
Releases Overview
| Release | Stable | Testing |
|---|---|---|
| Fedora Rawhide | 0.8.1-1.fc36 | - |
| Fedora 35 | 0.8.0-5.fc35 | - |
| Fedora 34 | 0.8.0-2.fc34 | - |
Package Info
- Upstream: https://github.com/scikit-learn-contrib/imbalanced-learn
- License(s): MIT
- Maintainer: iztokf
You can contact the maintainers of this package via email at
python-imbalanced-learn dash maintainers at fedoraproject dot org.
Sources on Pagure