Robust statistical distances for machine learning | Datadog

This post details the implementation of piecewise linear regression, a technique used to model data that exhibits different linear trends across different ranges. The implementation involves visualizing raw data, demonstrating the evolution of regression segments, and calculating the cost associated with different segmentation points. The interactive visualization allows users to explore how the model adapts to the data and identify optimal segmentation.