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, 23 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/netlab3.3/somunpak.m b/sourcecodes/bnt-master/netlab3.3/somunpak.m
new file mode 100644
index 00000000..e243820a
--- /dev/null
+++ b/sourcecodes/bnt-master/netlab3.3/somunpak.m
@@ -0,0 +1,23 @@
+function net = somunpak(net, w)
+%SOMUNPAK Replaces node weights in SOM.
+%
+%	Description
+%	NET = SOMUNPAK(NET, W) takes a SOM data structure NET and weight
+%	matrix W (each node represented by a row) and puts the nodes back
+%	into the multi-dimensional array NET.MAP.
+%
+%	The ordering of the parameters in W is defined by the indexing of the
+%	multi-dimensional array NET.MAP.
+%
+%	See also
+%	SOM, SOMPAK
+%
+
+%	Copyright (c) Ian T Nabney (1996-2001)
+
+errstring = consist(net, 'som');
+if ~isempty(errstring)
+    error(errstring);
+end
+% Put weights back into network data structure
+net.map = reshape(w', [net.nin net.map_size]);
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