# glmerr

## Purpose

Evaluate error function for generalized linear model.

## Synopsis

    e = glmerr(net, x, t)
    [e, edata, eprior] = glmerr(net, x, t)
    [e, edata, eprior, y, a] = glmerr(net, x, t)

## Description

`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.

## See Also

`glm`, `glmpak`, `glmunpak`, `glmfwd`, `glmgrad`, `glmtrain`

Pages: Index

Copyright (c) Ian T Nabney (1996-9)