Detailed Python and R Examples

• GPBoost and LaGaBoost algorithms for Gaussian data (“regression”) and non-Gaussian data (“classification”, etc.): in Python and in R

• Parameter tuning using deterministic or random grid search: in Python and in R

• Generalized linear Gaussian process and mixed effects models: in Python and in R