GPRegression
Related Doc:
package gpr
Returns marginal likelihood int p(f|x)*p(y|f,x)df
Returns partial derivative of log marginal likelihood int p(f|x)*p(y|f,x)df .
Returns partial derivative of log marginal likelihood int p(f|x)*p(y|f,x)df .
Element wise partial derivatives of covariance matrix K with respect to some parameter. K is given by: p(y) ~ N(mu,K)
Gaussian Process Regression.
Gaussian Process Regression. It uses Gaussian likelihood and zero mean functions.
Inputs for making predictions. [NxD] matrix. N - number of test points, D - dimensionality of input space
Predicted targets.[mean variance]