PBC4cip
PBC4cip is a machine learning classifier package based on contrast patterns used to handle class imbalance problems.
Built With
Getting Started
- You can install PBC4cip as a python package with pip by using pip install PBC4cip.
- An example of how to run PBC4cip with csv training and testing files can be found in PBC4cip/TestProg.py
- This example file can be ran from the PBC4cip directory where you cloned this repository with python -m example.example
More Information
This project expands on the code originally made by José René White Enciso, available here
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." Knowledge-Based Systems, 115, 100-109
3 maintainers
Metadata
3 maintainers
Release files for PBC4cip 0.0.0.8
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| File | Interpreter | ABI | Platform | Actions Reset |
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| PBC4cip-0.0.0.8-py3-none-any.whl | Python 3 | none | any | Details for PBC4cip-0.0.0.8-py3-none-any.whl |
Release files / PBC4cip-0.0.0.8-py3-none-any.whl
| Download URL | PBC4cip-0.0.0.8-py3-none-any.whl |
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| Size | 57.4 kB |
| Tags | Python 3 |
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