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aequilibrium

Python package for classification of imbalanced data. Can be used to do any / all of the following:

  1. Balance training data
  2. Fit models to imbalanced data
  3. Evaluate models trained against imbalanced data

Installation

The latest version can be installed from PyPI:

# note that aequilibrium requires python 3.7
# if pip install fails, check your python version
pip install aequilibrium

Usage

Please review our aequilibrium example code here

Features Under Development

  • Speeding up run times
  • Option to not store balanced dataframes
  • Additional balancing techniques

Contributor Guide

  1. Before contributing to this CVS Health sponsored project, you will need to sign the associated Contributor License Agreement.
  2. See contributing page.

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Package designed for handling imbalanced classification

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