wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual gpunpak wolffd@0: wolffd@0: wolffd@0: wolffd@0:

gpunpak wolffd@0:

wolffd@0:

wolffd@0: Purpose wolffd@0:

wolffd@0: Separates hyperparameter vector into components. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

wolffd@0:

wolffd@0: net = gpunpak(net, hp)
wolffd@0:

wolffd@0: wolffd@0: wolffd@0:

wolffd@0: Description wolffd@0:

wolffd@0: net = gpunpak(net, hp) takes an Gaussian Process data structure net and wolffd@0: a hyperparameter vector hp, and returns a Gaussian Process data structure wolffd@0: identical to wolffd@0: the input model, except that the covariance bias wolffd@0: bias, output noise noise, the input weight vector wolffd@0: inweights and the vector of covariance function specific parameters wolffd@0: fpar have all wolffd@0: been set to the corresponding elements of hp. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: gp, gppak, gpfwd, gperr, gpgrad

wolffd@0: Pages: wolffd@0: Index wolffd@0:

wolffd@0: