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Operators and Keywords

Function List:

C++ API

octgpr

The package allows interpolating and smoothing scattered multidimensional data using Gaussian Process Regression (also known as Kriging). Projected Gaussian Process regression is also experimentally supported.

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OctGPR

gpr_train
If requested, estimates the hyperparameters for Gaussian Process Regression (inverse length scales and relative noise) via reduced maximum likelihood, and then sets up the model for inference (predict
gpr_predict
Uses the model GPM to predict values, standard deviations and model derivatives in spatial points.
pgp_train
If requested, estimates the hyperparameters for Gaussian Process Regression (inverse length scales and relative noise) via reduced maximum likelihood, and then sets up the model for inference (predict
pgp_predict
Uses the model GPM to predict values, standard deviations and model derivatives in spatial points.
pdist2_mw
Assembles a pairwise minkowski-distance matrix for two given sets of points.

Examples

demo_octgpr
OctGPR package demo function.
rbf_centers
Selects a given number of RBF centers based on Lloyd's clustering algorithm.