comparison toolboxes/FullBNT-1.0.7/bnt/examples/static/StructLearn/k2demo1.m @ 0:e9a9cd732c1e tip

first hg version after svn

+N = 4;
+dag = zeros(N,N);
+%C = 1; S = 2; R = 3; W = 4;
+C = 4; S = 2; R = 3; W = 1; % arbitrary order
+dag(C,[R S]) = 1;
+dag(R,W) = 1;
+dag(S,W)=1;
+
+false = 1; true = 2;
+ns = 2*ones(1,N); % binary nodes
+
+bnet = mk_bnet(dag, ns);
+bnet.CPD{C} = tabular_CPD(bnet, C, [0.5 0.5]);
+bnet.CPD{R} = tabular_CPD(bnet, R, [0.8 0.2 0.2 0.8]);
+bnet.CPD{S} = tabular_CPD(bnet, S, [0.5 0.9 0.5 0.1]);
+bnet.CPD{W} = tabular_CPD(bnet, W, [1 0.1 0.1 0.01 0 0.9 0.9 0.99]);
+
+seed = 0;
+rand('state', seed);
+randn('state', seed);
+ncases = 100;
+data = zeros(N, ncases);
+for m=1:ncases
+  data(:,m) = cell2num(sample_bnet(bnet));
+end
+
+order = [C S R W];
+max_fan_in = 2;
+
+%dag2 = learn_struct_K2(data, ns, order, 'max_fan_in', max_fan_in, 'verbose', 'yes');
+  
+sz = 5:5:50;
+for i=1:length(sz)
+  dag2 = learn_struct_K2(data(:,1:sz(i)), ns, order, 'max_fan_in', max_fan_in);
+  correct(i) = isequal(dag, dag2);
+end
+correct
+
+for i=1:length(sz)
+  dag3 = learn_struct_K2(data(:,1:sz(i)), ns, order, 'max_fan_in', max_fan_in, 'scoring_fn', 'bic', 'params', []);
+  correct(i) = isequal(dag, dag3);
+end
+correct
+
+