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, 32 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/BNT/installC_BNT.m b/sourcecodes/bnt-master/BNT/installC_BNT.m
new file mode 100644
index 00000000..5613598c
--- /dev/null
+++ b/sourcecodes/bnt-master/BNT/installC_BNT.m
@@ -0,0 +1,32 @@
+BNT_HOME = '/home/ai2/murphyk/matlab/FullBNT'; % edit this
+
+d = fullfile(BNT_HOME, 'BNT');
+%PC = (strncmp(computer,'PC',2));
+
+cd(sprintf('%s/potentials/Tables', d))
+mex marg_table.c % used by @dpot/marginalize_pot.m
+mex marg_sparse_table.c %used by sparse jtree
+mex mult_by_table.c
+mex mult_by_sparse_table.c
+mex divide_by_table.c
+mex divide_by_sparse_table.c
+mex rep_mult.c
+
+% Written by Wei Hu
+cd(sprintf('%s/CPDs/@discrete_CPD', d))
+mex convert_to_sparse_table.c
+
+% Written by Wei Hu
+cd(sprintf('%s/inference/static/@jtree_sparse_inf_engine', d))
+mex init_pot.c
+mex collect_evidence.c
+mex distribute_evidence.c
+
+% written by Bhaskara Marthi 
+cd(sprintf('%s/inference/static/@gibbs_sampling_inf_engine/private', d))
+mex compute_posterior.c
+mex get_slice_dbn.c
+mex sample_single_discrete.c
+
+
+