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Diffstat (limited to 'sourcecodes/bnt-master/netlab3.3/rbfevfwd.m')
| -rw-r--r-- | sourcecodes/bnt-master/netlab3.3/rbfevfwd.m | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/netlab3.3/rbfevfwd.m b/sourcecodes/bnt-master/netlab3.3/rbfevfwd.m new file mode 100644 index 00000000..5bafc732 --- /dev/null +++ b/sourcecodes/bnt-master/netlab3.3/rbfevfwd.m @@ -0,0 +1,30 @@ +function [y, extra, invhess] = rbfevfwd(net, x, t, x_test, invhess) +%RBFEVFWD Forward propagation with evidence for RBF +% +% Description +% Y = RBFEVFWD(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 +% FEVBAYES +% + +% Copyright (c) Ian T Nabney (1996-2001) + +y = rbffwd(net, x_test); +% RBF outputs must be linear, so just pass them twice (second copy is +% not used +if nargin == 4 + [extra, invhess] = fevbayes(net, y, y, x, t, x_test); +else + [extra, invhess] = fevbayes(net, y, y, x, t, x_test, invhess); +end \ No newline at end of file |