Automatic Piecewise Linear Regression.
Build predictive and interpretable parametric regression or classification machine learning models in Python based on the Automatic Piecewise Linear Regression (APLR) methodology developed by Mathias von Ottenbreit. APLR is often able to compete with tree-based methods on predictiveness, but unlike tree-based methods APLR is interpretable. Please see the documentation for more information. Links to published article: https://link.springer.com/article/10.1007/s00180-024-01475-4 and https://rdcu.be/dz7bF. More functionality has been added to APLR since the article was published.
pip install aplr
Available for Windows, most Linux distributions and MacOS.
Please see the two example Python scripts here. They cover common use cases, but not all of the functionality in this package.
Please consider sponsoring Ottenbreit Data Science by clicking on the Sponsor button. Sufficient funding will enable maintenance of APLR and further development.
Please see the API reference for regression and API reference for classification.