Python package for classification of imbalanced data. Can be used to do any / all of the following:
- Balance training data
- Fit models to imbalanced data
- Evaluate models trained against imbalanced data
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
Please review our aequilibrium example code here
- Speeding up run times
- Option to not store balanced dataframes
- Additional balancing techniques
- Before contributing to this CVS Health sponsored project, you will need to sign the associated Contributor License Agreement.
- See contributing page.