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, 45 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/KPMtools/genpathKPM.m b/sourcecodes/bnt-master/KPMtools/genpathKPM.m
new file mode 100644
index 00000000..8994fc9b
--- /dev/null
+++ b/sourcecodes/bnt-master/KPMtools/genpathKPM.m
@@ -0,0 +1,45 @@
+function p = genpathKPM(d)
+% genpathKPM Like built-in genpath, but omits directories whose name is 'Old', 'old' or 'CVS'
+% function p = genpathKPM(d)
+
+if nargin==0,
+  p = genpath(fullfile(matlabroot,'toolbox'));
+  if length(p) > 1, p(end) = []; end % Remove trailing pathsep
+  return
+end
+
+% initialise variables
+methodsep = '@';  % qualifier for overloaded method directories
+p = '';           % path to be returned
+
+% Generate path based on given root directory
+files = dir(d);
+if isempty(files)
+  return
+end
+
+% Add d to the path even if it is empty.
+p = [p d pathsep];
+
+% set logical vector for subdirectory entries in d
+isdir = logical(cat(1,files.isdir));
+%
+% Recursively descend through directories which are neither
+% private nor "class" directories.
+%
+dirs = files(isdir); % select only directory entries from the current listing
+
+for i=1:length(dirs)
+   dirname = dirs(i).name;
+   if    ~strcmp( dirname,'.')         & ...
+         ~strcmp( dirname,'..')        & ...
+         ~strncmp( dirname,methodsep,1)& ...
+         ~strcmp( dirname,'private') & ...
+	 ~strcmp( dirname, 'old') & ...      % KPM
+	 ~strcmp( dirname, 'Old') & ... % KPM
+     	 ~strcmp( dirname, 'CVS')            % KPM
+      p = [p genpathKPM(fullfile(d,dirname))]; % recursive calling of this function.
+   end
+end
+
+%------------------------------------------------------------------------------