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/KPMtools/strmatch_multi.m b/sourcecodes/bnt-master/KPMtools/strmatch_multi.m
new file mode 100644
index 00000000..c29f326d
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMtools/strmatch_multi.m
@@ -0,0 +1,30 @@
+function [posns] = strmatch_multi(keys, strs)
+% STRMATCH_MULTI Find where each key occurs in list of strings.
+% [pos] = strmatch_multi(key, strs) where key is a string and strs is a cell array of strings
+% works like the built-in command sequence pos = strmatch(key, strs, 'exact'),
+% except that pos is the first occurrence of key in strs; if there is no occurence, pos is 0.
+%
+% [posns] = strmatch_multi(keys, strs), where keys is a cell array of strings, 
+% matches each element of keys. It loops over whichever is shorter, keys or strs.
+
+if ~iscell(keys), keys = {keys}; end
+nkeys = length(keys);
+posns = zeros(1, nkeys);
+if length(keys) < length(strs)
+  for i=1:nkeys
+    %pos = strmatch(keys{i}, strs, 'exact');
+    ndx = strcmp(keys{i}, strs); % faster
+    pos = find(ndx);
+    if ~isempty(pos)
+      posns(i) = pos(1);
+    end
+  end
+else
+  for s=1:length(strs)
+    %ndx = strmatch(strs{s}, keys, 'exact');
+    ndx = strcmp(strs{s}, keys);
+    ndx = find(ndx);
+    posns(ndx) = s;
+  end
+end
+