Skip to content

Package designed for handling imbalanced classification

License

Notifications You must be signed in to change notification settings

prestasicode/aequilibrium

 
 

Repository files navigation

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.

About

Package designed for handling imbalanced classification

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%