Package description
PARC is a Python package to train piecewise linear predictors from data for regression and/or classification. The algorithm is based on the following paper:
[1] A. Bemporad, "A piecewise linear regression and classification algorithm with application to learning and model predictive control of hybrid systems," IEEE Transactions on Automatic Control, vol. 68, n. 6, pp. 3194-3209, June 2023.
This software is distributed without any warranty. Please cite the above paper if you use this software.
Download
Python version: [Source]
pip install pyparc
Previous Python versions:
PARC v1.3 - May 25, 2022
(removed dependency on cluster size of L2-regularization term used in ridge regression
and classification)
PARC v1.1 - March 15, 2021
(added option to create partitions in reduced feature space)
PARC v1.0 - March 10, 2021
(first public release)
Last update: July 1, 2023