imbalanced-learn
Python module to balance data set using under- and over-sampling
Installation
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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
Last Updated
Jan 9, 2026 at 18:17
License
MIT
Total Downloads
15.2K
Supported Platforms
macOS-arm64
linux-64
linux-aarch64
win-64
Unsupported Platforms
linux-ppc64le Last supported version: 0.10.1
linux-s390x Last supported version: 0.13.0
macOS-64 Last supported version: 0.13.0
GitHub Repository
https://github.com/scikit-learn-contrib/imbalanced-learnDocumentation
https://imbalanced-learn.org/stable