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/sompak.m b/sourcecodes/bnt-master/netlab3.3/sompak.m
new file mode 100644
index 00000000..a1d7653a
--- /dev/null
+++ b/sourcecodes/bnt-master/netlab3.3/sompak.m
@@ -0,0 +1,23 @@
+function [c] = sompak(net)
+%SOMPAK	Combines node weights into one weights matrix.
+%
+%	Description
+%	C = SOMPAK(NET) takes a SOM data structure NET and combines the node
+%	weights into a matrix of centres C where each row represents the node
+%	vector.
+%
+%	The ordering of the parameters in W is defined by the indexing of the
+%	multi-dimensional array NET.MAP.
+%
+%	See also
+%	SOM, SOMUNPAK
+%
+
+%	Copyright (c) Ian T Nabney (1996-2001)
+
+errstring = consist(net, 'som');
+if ~isempty(errstring)
+    error(errstring);
+end
+% Returns map as a sequence of row vectors
+c = (reshape(net.map, net.nin, net.num_nodes))';