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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 alphapower10_0ead::imbalanced-learn

Usage Tracking

0.11.0
1 / 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

Feb 22, 2024 at 07:54

License

MIT

Total Downloads

3

Supported Platforms

linux-ppc64le