Metadata-Version: 2.1
Name: PBC4cip
Version: 0.0.0.5
Summary: PBC4cip classifier for class imbalance problems
Home-page: https://github.com/octavioloyola/PBC4cip
Author: Ernesto Ramírez-Sáyago, Miguel Angel Medina-Pérez, Octavio Loyola-González
Author-email: A00513925@itesm.mx, migue@tec.mx, octavioloyola@tec.mx
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: tqdm

# PBC4cip
PBC4cip is a machine learning classifier package based on contrast patterns used to handle class imbalance problems.

## Built With

* [Pandas](https://pandas.pydata.org) - DataFrame framework
* [Numpy](https://numpy.org) - Array computation package
* [tqdm](https://tqdm.github.io/) - Progress bar helper

## Getting Started
* You can install PBC4cip as a python package with pip by using [pip install PBC4cip](https://pypi.org/project/PBC4cip/).
* An example of how to run PBC4cip with csv training and testing files can be found in [PBC4cip/TestProg.py](https://github.com/octavioloyola/PBC4cip/blob/master/PBC4cip/example/example.py)
* This example file can be ran from the directory where you cloned this repository with python -m example.example 


## More Information
Additional information regarding PBC4cip can be found in its original article:

Loyola-González, O., Medina-Pérez, M. A., Martínez-Trinidad, J. F., Carrasco-Ochoa, J. A., Monroy, R., & García-Borroto, M. (2017). "[PBC4cip: A new contrast pattern-based classifier for class imbalance problems.](https://doi.org/10.1016/j.knosys.2016.10.018)" *Knowledge-Based Systems, 115*, 100-109


