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, 39 insertions, 0 deletions

diff --git a/sourcecodes/bnt-master/SLP/examples/test_pc.m b/sourcecodes/bnt-master/SLP/examples/test_pc.m
new file mode 100644
index 00000000..ba2e84c6
--- /dev/null
+++ b/sourcecodes/bnt-master/SLP/examples/test_pc.m
@@ -0,0 +1,39 @@
+% test PC + Chi2 statistical test
+
+clear all;
+
+test='pearson'; % Pearson's Chi2
+%test='LRT';     % Likelihood ratio test G2
+fprintf('\n=== Structure Learning with PC algorithm (and %s CHI2 test)\n',test);
+
+bnet=mk_asia2_bnet ;
+
+n=8;
+names={ 'A' , 'S' , 'T' , 'L' , 'B' , 'O' , 'X' , 'D' };
+carre=ones(1,n);
+node_type={'tabular','tabular','tabular','tabular','tabular','tabular','tabular','tabular'};
+
+m=2000;
+bnet=mk_asia2_bnet;
+data = cell(n,m);
+for l = 1:m, data(:,l) = sample_bnet(bnet); end
+data=cell2mat(data);
+fprintf('Complete data have been created.');
+
+tmp=cputime;
+PC.dag = learn_struct_pdag_pc('cond_indep_chisquare',n,n-2,data,test);
+tmp=cputime-tmp;
+fprintf('\t- Execution time : %3.2f seconds\n',tmp);
+
+figure;
+[xx yy] = make_layout(bnet.dag);
+yy=(yy-0.2)*.8/.6+.1;
+xx=(xx-0.2833)*.8/.517+.1;
+subplot(1,3,1), [xx yy]=draw_graph(bnet.dag,names,carre,xx,yy); %,carre);
+title('ASIA original graph');
+subplot(1,3,2), draw_graph(abs(PC.dag),names,carre,xx,yy); %,carre);
+title('PC PDAG');
+dag = cpdag_to_dag(abs(PC.dag));
+subplot(1,3,3), draw_graph(dag,names,carre,xx,yy);
+title('PC DAG');
+drawnow;
\ No newline at end of file