edata = gperr(net, x, t) [e, edata, eprior] = gperr(net, x, t)
e = gperr(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 function e. Each row
of x corresponds to one input vector and each row of t
corresponds to one target vector.
[e, edata, eprior] = gperr(net, x, t) additionally returns the
data and hyperprior components of the error, assuming a Gaussian
prior on the weights with mean and variance parameters prmean and
prvariance taken from the network data structure net.
gp, gpcovar, gpfwd, gpgradCopyright (c) Ian T Nabney (1996-9)