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imbalanced-learn

Community

Python module to balance data set using under- and over-sampling

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::imbalanced-learn

Usage Tracking

0.14.0
0.13.0
0.12.4
0.12.3
0.12.2
5 / 8 versions selected
Total downloads: 0

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

Aug 14, 2025 at 14:52

License

MIT

Total Downloads

764.6K

Platforms

noarch Version: 0.14.0