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, 37 insertions, 0 deletions

diff --git a/sourcecodes/parameter_learning/checkDiscreteNodes.m b/sourcecodes/parameter_learning/checkDiscreteNodes.m
new file mode 100644
index 00000000..c9d0692c
--- /dev/null
+++ b/sourcecodes/parameter_learning/checkDiscreteNodes.m
@@ -0,0 +1,37 @@
+function [ ] = checkDiscreteNodes( bnet, cases)
+    %checkDiscreteNodes Checks if states of discrete nodes are be integers from 1 to M
+    %   where M is the number of states of the node.  (M should be the same as
+    %   node_sizes in the bnet).
+    % 
+    %Input:
+    %   bnet: BNT bnet
+    %   cases: cell array of data
+    %
+%
+node_sizes = bnet.node_sizes;
+dnodes = bnet.dnodes;
+ndisc = size(dnodes,2);
+ncases = size(cases,2);
+
+%check to see that all data for discrete nodes are integers
+for i = 1:ndisc
+    inode = dnodes(i);
+    data = cases(inode,:);
+    isize = node_sizes(inode);
+    states = zeros(1,isize);
+    for j = 1:isize
+        states(j) = j;
+    end
+    for j = 1:ncases
+        k = int64(data{j});
+        if ~any(k==states)
+            error(['Discrete nodes must be integers from 1 to the number of states']);
+        end
+    end
+end
+
+    
+end
+
+
+