Daniel@0: Daniel@0: Daniel@0: Daniel@0: Netlab Reference Manual glmerr Daniel@0: Daniel@0: Daniel@0: Daniel@0:

glmerr Daniel@0:

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Daniel@0: Purpose Daniel@0:

Daniel@0: Evaluate error function for generalized linear model. Daniel@0: Daniel@0:

Daniel@0: Synopsis Daniel@0:

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Daniel@0: e = glmerr(net, x, t)
Daniel@0: [e, edata, eprior] = glmerr(net, x, t)
Daniel@0: [e, edata, eprior, y, a] = glmerr(net, x, t)
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Daniel@0: Daniel@0: Daniel@0:

Daniel@0: Description Daniel@0:

Daniel@0: Daniel@0: e = glmerr(net, x, t) takes a generalized Daniel@0: linear model data structure net together with a matrix x Daniel@0: of input vectors and a matrix t of target vectors, and evaluates Daniel@0: the error function e. The choice of error function corresponds Daniel@0: to the output unit activation function. Each row of x Daniel@0: corresponds to one input vector and each row of t corresponds to Daniel@0: one target vector. Daniel@0: Daniel@0:

[e, edata, eprior, y, a] = glmerr(net, x, t) also returns Daniel@0: the data and prior components of the total error. Daniel@0: Daniel@0:

[e, edata, eprior, y, a] = glmerr(net, x) also returns a matrix y Daniel@0: giving the outputs of the models and a matrix a Daniel@0: giving the summed inputs to each output unit, where each row Daniel@0: corresponds to one pattern. Daniel@0: Daniel@0:

Daniel@0: See Also Daniel@0:

Daniel@0: glm, glmpak, glmunpak, glmfwd, glmgrad, glmtrain

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

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