annotate toolboxes/FullBNT-1.0.7/netlabKPM/nethess_weighted.m @ 0:cc4b1211e677 tip

initial commit to HG from Changeset: 646 (e263d8a21543) added further path and more save "camirversion.m"
author Daniel Wolff
date Fri, 19 Aug 2016 13:07:06 +0200
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Daniel@0 1 function [h, varargout] = nethess_weighted(w, net, x, t, eso_w, varargin)
Daniel@0 2 %NETHESS Evaluate network Hessian
Daniel@0 3 %
Daniel@0 4 % Description
Daniel@0 5 %
Daniel@0 6 % H = NETHESS(W, NET, X, T) takes a weight vector W and a network data
Daniel@0 7 % structure NET, together with the matrix X of input vectors and the
Daniel@0 8 % matrix T of target vectors, and returns the value of the Hessian
Daniel@0 9 % evaluated at W.
Daniel@0 10 %
Daniel@0 11 % [E, VARARGOUT] = NETHESS(W, NET, X, T, VARARGIN) also returns any
Daniel@0 12 % additional return values from the network Hessian function, and
Daniel@0 13 % passes additional arguments to that function.
Daniel@0 14 %
Daniel@0 15 % See also
Daniel@0 16 % NETERR, NETGRAD, NETOPT
Daniel@0 17 %
Daniel@0 18
Daniel@0 19 % Copyright (c) Ian T Nabney (1996-9)
Daniel@0 20
Daniel@0 21 hess_str = [net.type, 'hess_weighted'];
Daniel@0 22
Daniel@0 23 net = netunpak(net, w);
Daniel@0 24
Daniel@0 25 [s{1:nargout}] = feval(hess_str, net, x, t, eso_w, varargin{:});
Daniel@0 26 h = s{1};
Daniel@0 27 for i = 2:nargout
Daniel@0 28 varargout{i-1} = s{i};
Daniel@0 29 end