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Piece-wise non-linear regression is a long-standing problem in the machine learning domain that has long plagued machine learning researchers. It is extremely difficult for users to determine the correct partition scheme and non-linear model when there is no prior information. To address this issue, we proposed piece-wise non-linear regression tree (PS-Tree), an automated piece-wise non-linear regression method based on decision tree and genetic programming techniques. Based on such an algorithm framework, our method can produce an explainable model with high accuracy in a short period of time.
Installation
pip install -U pstree
Features
A fully automated piece-wise non-linear regression tool
A fast genetic programming based symbolic regression tool
@article{zhang2022ps,
title={PS-Tree: A piecewise symbolic regression tree},
author={Zhang, Hengzhe and Zhou, Aimin and Qian, Hong and Zhang, Hu},
journal={Swarm and Evolutionary Computation},
volume={71},
pages={101061},
year={2022},
publisher={Elsevier}
}