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, 55 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/BNT/potentials/@scgpot/extension_pot.m b/sourcecodes/bnt-master/BNT/potentials/@scgpot/extension_pot.m
new file mode 100644
index 00000000..a4c2b0e6
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/potentials/@scgpot/extension_pot.m
@@ -0,0 +1,55 @@
+function pot = extension_pot(oldpot, ddom_u, dsizes, ctaildom_u, csizes)
+% EXTENSION_POT Extense a stable CG potential.
+% pot = extension_pot(oldpot, ddom_u, ctaildom_u, dsizes, csizes)
+% ddom_u Added discrete nodes
+% ctaildom_u Added continuous tail nodes
+% csizes is the size of the tail nodes.
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+% A CG potential can be extended by adding discrete variables to its %
+% domain of continuous variables to its tail                         %
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+ddom = myunion(oldpot.ddom, ddom_u);
+ctaildom = myunion(oldpot.ctaildom, ctaildom_u);
+cheaddom = oldpot.cheaddom;
+udom = myunion(ddom_u, ctaildom_u);
+domain = myunion(oldpot.domain, udom);
+
+ns = zeros(1,max(domain));
+ns(ddom_u) = dsizes;
+ns(ctaildom_u) = csizes;
+ns(oldpot.ddom) = oldpot.dsizes;
+ns(oldpot.cheaddom) = oldpot.cheadsizes;
+ns(oldpot.ctaildom) = oldpot.ctailsizes;
+
+dsizes = ns(ddom);
+dsize = prod(ns(ddom));
+cheadsizes = ns(cheaddom);
+cheadsize = sum(ns(cheaddom));
+ctailsizes = ns(ctaildom);
+ctailsize = sum(ns(ctaildom));
+
+BZ = zeros(cheadsize, ctailsize);
+potarray = cell(1, dsize);
+mask = find_equiv_posns(oldpot.ddom, ddom);
+
+tmask = find_equiv_posns(oldpot.ctaildom, ctaildom);
+tu = block(tmask, ctailsizes);
+
+for i=1:dsize
+    sub1 = ind2subv(dsizes, i);
+    sub2 = sub1(mask);
+    ind = subv2ind(oldpot.dsizes, sub2);
+    if isempty(ind)
+        ind = 1;
+    end
+    potc = struct(oldpot.scgpotc{ind});
+    p = potc.p;
+    B = BZ;
+    if ~isempty(B)
+        B(:, tu) = potc.B;
+    end
+    potarray{i} = scgcpot(cheadsize, ctailsize, p, potc.A, B, potc.C);
+end
+
+pot = scgpot(ddom, cheaddom, ctaildom, ns,potarray);