Merge pull request #1 from ziejd2/octave_php_separate

Octave php separate

1 files changed, 72 insertions, 0 deletions

diff --git a/sourcecodes/parameter_learning/Predictmultiple.m b/sourcecodes/parameter_learning/Predictmultiple.m
new file mode 100644
index 00000000..f03568ef
--- /dev/null
+++ b/sourcecodes/parameter_learning/Predictmultiple.m
@@ -0,0 +1,72 @@
+function Predictmultiple(pre)
+dfile=strcat(pre,'structure_input.txt');
+sfile=dfile;
+dfile=strcat(pre,'continuous_input.txt');
+nnodefile=strcat(pre,'nnode.txt');
+
+fnnode = fopen(nnodefile,'r');
+nnodes = fscanf(fnnode,'%d');
+
+Std_flag=true;
+[labels,cases,bnet]=readInput(dfile,sfile,nnodes,Std_flag);
+
+[bnet]=parameterLearning(bnet,cases);
+
+fvarfile=strcat(pre,'var.txt');
+fvar = fopen(fvarfile,'r');                         
+select_var_new = fscanf(fvar,'%d');
+
+fvardfile=strcat(pre,'vardata.txt');
+fvard = fopen(fvardfile,'r');
+select_var_data_new = fscanf(fvard,'%f');
+
+means_orig = cell(1,nnodes);
+stdevs_orig = cell(1,nnodes);
+labels_orig = cell(1,nnodes);
+%Read in original means and standard deviations
+mapfile = strcat(pre,'map.txt');
+fmap = fopen(mapfile,'r');
+for i=1:nnodes
+    buffer = fgetl(mapfile);
+    temp = cell(1,4);
+    for j=1:4
+        [next,buffer] = strtok(buffer);
+        temp{j} = next;
+    end
+    labels_orig{i} = temp{1};
+    means_orig{i} = str2num(temp{4});
+    stdevs_orig{i} = str2num(temp{3});
+end
+fclose(fmap);
+
+%Need to map the means and stdevs to the correct labels
+means = cell(1,nnodes);
+stdevs = cell(1,nnodes);
+%Read in labels in new order.
+labelsnew = cell(1,nnodes);
+mapdatafile = strcat(pre,'mapdata.txt');
+fmapdata = fopen(mapdatafile,'r');
+buffer = fgetl(fmapdata);
+for i = 1:nnodes
+    [next,buffer ] = strtok(buffer);
+    labelsnew{i} = next;
+end
+fclose(fmapdata);
+for i = 1:nnodes
+    for j = 1:nnodes
+       if strcmp(labelsnew{i},labels_orig{j})
+          means{i} = means_orig{j};
+          stdevs{i} = stdevs_orig{j};
+          break
+       end
+    end
+end
+
+
+filename=strcat(pre,'net_figure_new.txt');
+
+drawFigureM(nnodes,bnet,labels,filename,cases,stdevs,means,select_var_new,select_var_data_new);
+
+writeParameters_ev(pre,bnet,nnodes,labels,cases,stdevs,means,select_var_new,select_var_data_new);
+
+end