imbalanced-learn
Python module to balance data set using under- and over-sampling
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Description
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.
About
Summary
Python module to balance data set using under- and over-sampling
Information Last Updated
Sep 3, 2025 at 12:10
License
MIT
Total Downloads
3.9K
Platforms
Linux ppc64le Version: 0.10.1
macOS arm64 Version: 0.14.0
Linux 64 Version: 0.14.0
Linux aarch64 Version: 0.14.0
Linux s390x Version: 0.13.0
macOS 64 Version: 0.13.0
Win 64 Version: 0.14.0
GitHub Repository
https://github.com/scikit-learn-contrib/imbalanced-learnDocumentation
https://imbalanced-learn.org/stable