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imbalanced-learn

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

Installation

To install this package, run one of the following:

Conda
$conda install services::imbalanced-learn

Usage Tracking

0.9.1
0.7.0
2 / 8 versions selected
Downloads (Last 6 months): 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

Last Updated

Aug 17, 2022 at 19:32

License

MIT

Total Downloads

37

Supported Platforms

noarch