# gpgrad

## Purpose

Evaluate error gradient for Gaussian Process.

## Synopsis

    g = gpgrad(net, x, t)

## Description

`g = gpgrad(net, x, t)` takes a Gaussian Process data structure `net` together with a matrix `x` of input vectors and a matrix `t` of target vectors, and evaluates the error gradient `g`. Each row of `x` corresponds to one input vector and each row of `t` corresponds to one target vector.

## See Also

`gp`, `gpcovar`, `gpfwd`, `gperr`

Pages: Index

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