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, 30 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/BNT/potentials/@scgpot/scgpot.m b/sourcecodes/bnt-master/BNT/potentials/@scgpot/scgpot.m
new file mode 100644
index 00000000..7f923f22
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/potentials/@scgpot/scgpot.m
@@ -0,0 +1,30 @@
+function pot = scgpot(ddom, cheaddom, ctaildom, node_sizes, scgpotc)
+% SCGPOT Make a stable CG potential.
+% pot = scgpot(ddom, cheaddom, ctaildom, node_sizes, scgpotc)
+%
+% ddom is discrete nodes contains in the potential
+% cheaddom is head nodes constains in the potential
+% ctaildom is tail nodes contains in the potential
+% node_sizes(i) is the size of the i'th node.
+% scgpotc is list of scgcpot objects.
+
+pot.ddom = ddom;
+pot.cheaddom = cheaddom;
+pot.ctaildom = ctaildom;
+pot.domain = myunion(ddom, myunion(cheaddom, ctaildom));
+pot.dsizes = node_sizes(pot.ddom);
+pot.dsize = prod(node_sizes(pot.ddom));
+pot.cheadsizes = node_sizes(pot.cheaddom);
+pot.cheadsize = sum(node_sizes(pot.cheaddom));
+pot.ctailsizes = node_sizes(pot.ctaildom);
+pot.ctailsize = sum(node_sizes(pot.ctaildom));
+
+if nargin < 5
+    scgpotc = cell(1, pot.dsize);
+    for i=1:pot.dsize
+        scgpotc{i} = scgcpot(pot.cheadsize, pot.ctailsize);
+    end
+end
+pot.scgpotc = scgpotc;              
+
+pot = class(pot, 'scgpot');