Man pages for ebenmichael/gaussianProcess
Fits Gaussian Processes for Regression

gaussianProcessCreate a gaussianProcess object with a given mean function...
gp_lml_derivCompute the derivative of the log marginal likelihood
gp_lml_deriv_helperCompute the derivative of the log marginal likelihood (helper...
gp_log_marg_likeCompute the marginal log likelihood for a GP with given data,...
gp_log_marg_like_helperCompute the log marginal likelihood from parameters of the GP
log_marginal_like.gaussianProcessCompute the log marginal likelihood for a GP
loocv.gaussianProcessCompute the leave one out CV estimate (Rasmussen & WIllaims...
maternCompute the Matern kernel between two matrices
optimize_hyper_paramsOptimize the hyper parameters of a GP
pdiffCompute the pairwise differences between X and Y
pdist_scaledCompute the scaled pairwise distances between X and Y
plot.gaussianProcessPlot the predictive distribution of new data. Only works with...
predict.gaussianProcessGet the posterior distribution for f(X)
rbfCompute the RBF (Squared Exponential) kernel between two...
rbf_derivCompute the jth partial derivative of the rbf kernel
sample.gaussianProcessSample from the posterior distribution for f(X) (or the...
ebenmichael/gaussianProcess documentation built on May 13, 2017, 10:58 a.m.