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function g = netgrad_weighted(w, net, x, t, eso_w)
%NETGRAD Evaluate network error gradient for generic optimizers
%
% Description
%
% G = NETGRAD(W, NET, X, T) takes a weight vector W and a network data
% structure NET, together with the matrix X of input vectors and the
% matrix T of target vectors, and returns the gradient of the error
% function evaluated at W.
%
% See also
% MLP, NETERR, NETOPT
%
% Copyright (c) Ian T Nabney (1996-9)
gradstr = [net.type, 'grad_weighted'];
net = netunpak(net, w);
g = feval(gradstr, net, x, t, eso_w);
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