A scikit-learn compatible hyperbox-based machine learning library in Python.
hyperbox-brain is a Python open source toolbox implementing hyperbox-based machine learning algorithms built on top of scikit-learn and is distributed under the GPL-3.0 license.
The project was started in 2018 by Prof. Bogdan Gabrys and Dr. Thanh Tung Khuat at the Complex Adaptive Systems Lab - The University of Technology Sydney. This project is a core module aiming to the formulation of explainable life-long learning systems in near future.
If you use hyperbox-brain, please use this BibTeX entry:
@article{khga23,
title={hyperbox-brain: A Python toolbox for hyperbox-based machine learning algorithms},
author={Khuat, Thanh Tung and Gabrys, Bogdan},
journal={SoftwareX},
volume={23},
pages={101425},
year={2023},
url={https://doi.org/10.1016/j.softx.2023.101425},
publisher={Elsevier}
}user/installation user/features user/available_models user/quickstart developers/contributing user/about
If you are looking for information on a specific function, class or method, this part of the documentation is for you.
api/utils api/base api/mixed_data api/batch_learner api/ensemble_learner api/incremental_learner api/multigranular_learner
tutorials/tutorial_index
genindexmodindexsearch