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, 44 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/BNT/examples/dynamic/mk_collage_from_clqs.m b/sourcecodes/bnt-master/BNT/examples/dynamic/mk_collage_from_clqs.m
new file mode 100644
index 00000000..90159f7e
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/examples/dynamic/mk_collage_from_clqs.m
@@ -0,0 +1,44 @@
+function mk_collage_from_clqs(dir, cliques)
+
+% For use with mk_ps_from_clqs.
+% This generates a latex file that glues all the .ps files
+% into one big figure.
+
+cd(dir)
+C = length(cliques);
+
+ncols = 4;
+width = 1.5;
+fid = fopen('collage.tex', 'w');
+fprintf(fid, '\\documentclass{article}\n');
+fprintf(fid, '\\usepackage{psfig}\n');
+fprintf(fid, '\\begin{document}\n');
+fprintf(fid, '\\centerline{\n');
+fprintf(fid, '\\begin{tabular}{');
+for col=1:ncols,  fprintf(fid, 'c'); end
+fprintf(fid, '}\n');
+c = 1;
+for row = 1:floor(C/ncols)
+  for col=1:ncols-1
+    fname = sprintf('%s/clq%d.ps', dir, c);
+    fprintf(fid, '\\psfig{file=%s,width=%3fin} & \n', fname, width);
+    c = c + 1;
+  end
+  fname = sprintf('%s/clq%d.ps', dir, c);
+  fprintf(fid, '\\psfig{file=%s,width=%3fin} \\\\ \n', fname, width);
+  c = c + 1;
+end
+% last row
+while (c <= C)
+  fname = sprintf('%s/clq%d.ps', dir, c);
+  fprintf(fid, '\\psfig{file=%s,width=%3fin} & \n', fname, width);
+  c = c + 1;
+end
+fprintf(fid, '\\end{tabular}\n');
+fprintf(fid, '}\n');
+fprintf(fid, '\\end{document}');
+fclose(fid);
+
+!latex collage.tex &
+!dvips -o collage.ps collage.dvi &
+!ghostview collage.ps &