# gpunpak

## Purpose

Separates hyperparameter vector into components.

## Synopsis

    net = gpunpak(net, hp)

## Description

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

## See Also

`gp`, `gppak`, `gpfwd`, `gperr`, `gpgrad`

Pages: Index

Copyright (c) Ian T Nabney (1996-9)