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authorziejd22017-09-28 15:04:40 -0500
committerziejd22017-09-28 15:04:40 -0500
commit8070dc963753142bb86c4ed698d91fd623ed28e7 (patch)
treed0f6dd8fc46a49b819aa55c1a90faa14d8448883 /sourcecodes/bnt-master/BNT/installC_graph.m
parent7cc31810d53176e805532b2789955f4eedbce6bb (diff)
downloadBNW-8070dc963753142bb86c4ed698d91fd623ed28e7.tar.gz
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
Diffstat (limited to 'sourcecodes/bnt-master/BNT/installC_graph.m')
-rw-r--r--sourcecodes/bnt-master/BNT/installC_graph.m16
1 files changed, 16 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/BNT/installC_graph.m b/sourcecodes/bnt-master/BNT/installC_graph.m
new file mode 100644
index 00000000..56d1bb3e
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/installC_graph.m
@@ -0,0 +1,16 @@
+% These C functions were written by Ilya Shpitser.
+
+if isunix
+  mex -c elim.c;
+  mex -c cell.c;
+  mex -c map.c;
+  mex -DUNIX  best_first_elim_order.c  elim.o  cell.o  map.o;
+  mex -DUNIX  triangulate.c  elim.o  cell.o  map.o;
+else
+  mex -c elim.c;
+  mex -c cell.c;
+  mex -c map.c;
+  mex  best_first_elim_order.c  elim.obj  cell.obj  map.obj;
+  mex  triangulate.c  elim.obj  cell.obj  map.obj;
+end
+