Package description

PARC - Piecewise Affine Regression and Classification

glis glis

PARC is a package to train piecewise linear predictors from data for regression and/or classification. The algorithm is based on the following paper:

[1] A. Bemporad, "Piecewise Linear Regression and Classification," arXiv eprint 2103.06189, 2021.

This software is distributed without any warranty. Please cite the above paper if you use this software.

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Latest version:

PARC v1.1 - March 15, 2021

(added option to create partitions in reduced feature space)

Previous versions:

PARC v1.0 - March 10, 2021

(first public release)




Last update: March 15, 2021