BNW using Octave instead of Matlab.

This version of BNW should perform the same as the original version. The only difference is that it uses Octave instead of Matlab when running BayesNet Toolbox during parameter learning.

I am calling this BNW_1.02. It can be accessed at:
compbio.uthsc.edu/BNW_1.02

1 files changed, 25 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/netlab3.3/netpak.m b/sourcecodes/bnt-master/netlab3.3/netpak.m
new file mode 100644
index 00000000..03d9bd58
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+++ b/sourcecodes/bnt-master/netlab3.3/netpak.m
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+function w = netpak(net)
+%NETPAK	Combines weights and biases into one weights vector.
+%
+%	Description
+%	W = NETPAK(NET) takes a network data structure NET and combines the
+%	component weight matrices  into a single row vector W. The facility
+%	to switch between these two representations for the network
+%	parameters is useful, for example, in training a network by error
+%	function minimization, since a single vector of parameters can be
+%	handled by general-purpose optimization routines.  This function also
+%	takes into account a MASK defined as a field in NET by removing any
+%	weights that correspond to entries of 0 in the mask.
+%
+%	See also
+%	NET, NETUNPAK, NETFWD, NETERR, NETGRAD
+%
+
+%	Copyright (c) Ian T Nabney (1996-2001)
+
+pakstr = [net.type, 'pak'];
+w = feval(pakstr, net);
+% Return masked subset of weights
+if (isfield(net, 'mask'))
+   w = w(logical(net.mask));
+end
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