partial-dependence

Bayesian additive regression trees (BART) for regression, classification, uncertainty quantification, and variable selection in R, with optional GPU acceleration.

R tools for Individual Conditional Expectation plots, derivative ICE, partial dependence, and model-interpretability diagnostics.

Nonlinear U.S. airline output modelling with ridge regression, RBF and polynomial kernel ridge, I-splines, cross-validation, and partial dependence.

Two Random Forest case studies connecting validation performance, global feature reliance, local SHAP attribution and input representation.

ML Model Explainability & Monitoring Platform | SHAP explanations, data drift detection (PSI), fairness analysis & what-if simulator | Plotly.js

Explainable AI assignment comparing TabNet interpretability with permutation importance, partial dependence plots, and LIME on tabular weather data.