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, 28 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/KPMtools/strmatch_substr.m b/sourcecodes/bnt-master/KPMtools/strmatch_substr.m
new file mode 100644
index 00000000..7a1e431f
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMtools/strmatch_substr.m
@@ -0,0 +1,28 @@
+function ndx = strmatch_substr(str, strs)
+% STRMATCH_SUBSTR Like strmatch, except str can match any part of strs{i}, not just prefix.
+% ndx = strmatch_substr(str, strs)
+%
+% Example:
+% i = strmatch('max', {'max','minimax','maximum'})
+%  returns i = [1; 3] since only 1 and 3 begin with max, but
+% i = strmatch_substr('max', {'max','minimax','maximum'})
+%  returns i = [1;2;3];
+%
+% If str is also a cell array, it is like calling strmatch_substr several times
+% and concatenating the results. 
+% Example:
+% 
+% i = strmatch_substr({'foo', 'dog'}, {'foo', 'hoofoo', 'dog'}) 
+%   returns i = [1;2;3]
+
+ndx = [];
+if ~iscell(str), str = {str}; end
+for j=1:length(str)
+  for i=1:length(strs)
+    %ind = strfind(strs{i}, str{j}); % not supported in 6.0
+    ind = findstr(strs{i}, str{j});
+    if ~isempty(ind)
+      ndx = [ndx; i];
+    end
+  end
+end