diff toolboxes/FullBNT-1.0.7/netlab3.3/netevfwd.m @ 0:e9a9cd732c1e tip

first hg version after svn

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolboxes/FullBNT-1.0.7/netlab3.3/netevfwd.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,29 @@
+function [y, extra, invhess] = netevfwd(w, net, x, t, x_test, invhess)
+%NETEVFWD Generic forward propagation with evidence for network
+%
+%	Description
+%	[Y, EXTRA] = NETEVFWD(W, NET, X, T, X_TEST) takes a network data
+%	structure  NET together with the input X and target T training data
+%	and input test data X_TEST. It returns the normal forward propagation
+%	through the network Y together with a matrix EXTRA which consists of
+%	error bars (variance) for a regression problem or moderated outputs
+%	for a classification problem.
+%
+%	The optional argument (and return value)  INVHESS is the inverse of
+%	the network Hessian computed on the training data inputs and targets.
+%	Passing it in avoids recomputing it, which can be a significant
+%	saving for large training sets.
+%
+%	See also
+%	MLPEVFWD, RBFEVFWD, GLMEVFWD, FEVBAYES
+%
+
+%	Copyright (c) Ian T Nabney (1996-2001)
+
+func = [net.type, 'evfwd'];
+net = netunpak(net, w);
+if nargin == 5
+  [y, extra, invhess] = feval(func, net, x, t, x_test);
+else
+  [y, extra, invhess] = feval(func, net, x, t, x_test, invhess);
+end