Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual gperr Daniel@0: Daniel@0: Daniel@0: Daniel@0:

gperr Daniel@0:

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Daniel@0: Purpose Daniel@0:

Daniel@0: Evaluate error function for Gaussian Process. Daniel@0: Daniel@0:

Daniel@0: Synopsis Daniel@0:

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Daniel@0: edata = gperr(net, x, t)
Daniel@0: [e, edata, eprior] = gperr(net, x, t)
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Daniel@0: Description Daniel@0:

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

[e, edata, eprior] = gperr(net, x, t) additionally returns the Daniel@0: data and hyperprior components of the error, assuming a Gaussian Daniel@0: prior on the weights with mean and variance parameters prmean and Daniel@0: prvariance taken from the network data structure net. Daniel@0: Daniel@0:

Daniel@0: See Also Daniel@0:

Daniel@0: gp, gpcovar, gpfwd, gpgrad

Daniel@0: Pages: Daniel@0: Index Daniel@0:

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