docs

Author: mathias-von-ottenbreit

README.md

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 Automatic Piecewise Linear Regression.
 
 # About
-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. See the ***documentation*** folder for more information. 
+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. See the ***documentation*** folder for more information. Links to published article: [https://link.springer.com/article/10.1007/s00180-024-01475-4](https://link.springer.com/article/10.1007/s00180-024-01475-4) and [https://rdcu.be/dz7bF](https://rdcu.be/dz7bF).
 
 # How to install
 ***pip install aplr***

documentation/model_interpretation_example.md

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+# Model interpretation example
+For an example on how to interpret an APLR model, please see ***Section 5.1.3*** in the published article about APLR. You can find this article on [https://link.springer.com/article/10.1007/s00180-024-01475-4](https://link.springer.com/article/10.1007/s00180-024-01475-4) and [https://rdcu.be/dz7bF](https://rdcu.be/dz7bF).