e = glmerr(net, x, t) [e, edata, eprior] = glmerr(net, x, t) [e, edata, eprior, y, a] = glmerr(net, x, t)
e = glmerr(net, x, t) takes a generalized
linear model data structure net together with a matrix x
of input vectors and a matrix t of target vectors, and evaluates
the error function e. The choice of error function corresponds
to the output unit activation function. Each row of x
corresponds to one input vector and each row of t corresponds to
one target vector.
[e, edata, eprior, y, a] = glmerr(net, x, t) also returns
the data and prior components of the total error.
[e, edata, eprior, y, a] = glmerr(net, x) also returns a matrix y
giving the outputs of the models and a matrix a
giving the summed inputs to each output unit, where each row
corresponds to one pattern.
glm, glmpak, glmunpak, glmfwd, glmgrad, glmtrainCopyright (c) Ian T Nabney (1996-9)