Segmented Linear Regression Model (SLRM)

This project implements the Segmented Linear Regression Model (SLRM), an alternative to traditional Artificial Neural Networks (ANNs). The SLRM models datasets with piecewise linear functions, using a neural compression process to reduce complexity without compromising precision beyond a user-defined tolerance. The core of the solution is the compression algorithm, which transforms an unordered dataset (DataFrame / X, Y) into a final, highly optimized dictionary, ready for prediction.