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All functions

compute_all_distances()
Pairwise Wasserstein Distances Along Projection Directions Between Several Empirical Distributions
fit_gpr()
Gaussian Process Fitting to Test Data with Tuned Hyperparameters
generate_directions()
Generate Random Projection Directions
gpr_predict()
Predict Outcomes Using Gaussian Process Regression
kernel_sum()
Sum of Kernels
matern()
Matérn Kernels
matern_multiple()
Sum of Matérn Kernels
nlpd_gpr()
Negative Log Predictive Density for Gaussian Process Regression Models
nw_corner_distance()
One-Dimensional Wasserstein Distance Using North-West Corner Algorithm
rbf()
Gaussian Radial Basis Function Kernel
rbf_multiple()
Sum of Gaussian Radial Basis Function Kernels
sliced_wasserstein()
Sliced Wasserstein Distance Between Two Empirical Distributions