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/gtmlmode.m b/sourcecodes/bnt-master/netlab3.3/gtmlmode.m
new file mode 100644
index 00000000..6fee04a8
--- /dev/null
+++ b/sourcecodes/bnt-master/netlab3.3/gtmlmode.m
@@ -0,0 +1,25 @@
+function modes = gtmlmode(net, data)
+%GTMLMODE Mode responsibility for data in a GTM.
+%
+%	Description
+%	 MODES = GTMLMODE(NET, DATA) takes a GTM structure NET, and computes
+%	the modes of the responsibility  distributions for each data point in
+%	DATA.  These will always lie at one of the latent space sample points
+%	NET.X.
+%
+%	See also
+%	GTM, GTMPOST, GTMLMEAN
+%
+
+%	Copyright (c) Ian T Nabney (1996-2001)
+
+% Check for consistency
+errstring = consist(net, 'gtm', data);
+if ~isempty(errstring)
+  error(errstring);
+end
+
+R = gtmpost(net, data);
+% Mode is maximum responsibility
+[max_resp, max_index] = max(R, [], 2);
+modes = net.X(max_index, :);