wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual gpgrad wolffd@0: wolffd@0: wolffd@0: wolffd@0:

gpgrad wolffd@0:

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wolffd@0: Purpose wolffd@0:

wolffd@0: Evaluate error gradient for Gaussian Process. wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

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wolffd@0: g = gpgrad(net, x, t)
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wolffd@0: Description wolffd@0:

wolffd@0: g = gpgrad(net, x, t) takes a Gaussian Process data structure net together wolffd@0: with a matrix x of input vectors and a matrix t of target wolffd@0: vectors, and evaluates the error gradient g. Each row wolffd@0: of x corresponds to one input vector and each row of t wolffd@0: corresponds to one target vector. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: gp, gpcovar, gpfwd, gperr

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

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