imbalanced-learn
Python module to balance data set using under- and over-sampling
Python module to balance data set using under- and over-sampling
To install this package, run one of the following:
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.
Summary
Python module to balance data set using under- and over-sampling
Last Updated
Aug 17, 2022 at 19:32
License
MIT
Total Downloads
37
Supported Platforms
GitHub Repository
https://github.com/scikit-learn-contrib/imbalanced-learnDocumentation
http://imbalanced-learn.org/en/stable/