explainable-boosting
APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.
Insurance workflow wrapper for interpretML's Explainable Boosting Machine — relativities, diagnostics, monotonicity editing, GLM comparison
