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, 32 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/BNT/potentials/@scgcpot/reduce_pot.m b/sourcecodes/bnt-master/BNT/potentials/@scgcpot/reduce_pot.m
new file mode 100644
index 00000000..466a7a72
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/potentials/@scgcpot/reduce_pot.m
@@ -0,0 +1,32 @@
+function [reduced_pot,successful] = reduce(pot,tailnodes)
+% Executes the reduce operation defined in 
+% Stable Local Computation with Conditional Gaussian Distributions
+% Steffen L. Lauritzen
+% Frank Jensen
+% September 1999
+% The potential pot is reduced if B contains any zero columns 
+% The test are restricted to the positions in tailnodes.
+% Any columns successfully deleted are entered in the array successful
+
+if nargin < 2
+    tailnodes = 1:pot.ctailsize;
+end
+
+successful = [];
+
+% Look for all columns beeing equal to zero
+for i = tailnodes
+    if ~any(pot.B(:,i))
+        successful = [successful i]; 
+    end
+end
+
+remain = mysetdiff(1:pot.ctailsize,successful);
+
+% Erase the zero-columns and decrease the tailsize
+pot.B = pot.B(:,remain);
+pot.ctailsize = pot.ctailsize - length(successful);
+
+% Return the reduced potential
+reduced_pot = pot;
+