1 files changed, 0 insertions, 70 deletions
diff --git a/BNW_parameter_learning/runBN_initial.m b/BNW_parameter_learning/runBN_initial.m
deleted file mode 100644
index 614accc5..00000000
--- a/BNW_parameter_learning/runBN_initial.m
+++ /dev/null
@@ -1,70 +0,0 @@
-function runBN_initial(pre)
-% runBN_initial is used to create the net_figure file
-%   for a network without entered evidence or intervention.
-%
-% The input is 'pre'-- the prefix for the network and data
-%    in BNW. It uses this identifier to read several files from
-%    BNW.
-% 
-% The output is ???net_figure.txt. It also calls writeParameters 
-%    to write the parameter file.
-%
-% runBN_initial is called by run_octave in the 'sourcecodes' directory.
-%
-
-sfile=strcat(pre,'structure_input.txt');
-dfile=strcat(pre,'continuous_input.txt');
-
-nnodefile=strcat(pre,'nnode.txt');
-fnnode = fopen(nnodefile,'r');
-nnodes = fscanf(fnnode,'%d');
-
-
-mapfilename=strcat(pre,'mapdata.txt');
-mapvalfilename=strcat(pre,'map.txt');
-
-mapfile = fopen(mapfilename,'w');
-
-mapval = fopen(mapvalfilename,'w');
-
-
-Std_flag=true;
-[labels,cases,bnet,node_sizes,data,labelsold]=readInput(dfile,sfile,nnodes,Std_flag);
-s=std(data,0,1);
-m=mean(data);
-
-for i=1:nnodes
-  fprintf(mapval,'%s\t%f\t%f\n',labelsold{i},s(i),m(i));
-end
-
-fprintf(mapfile,'%s',labels{1});
-for i=2:nnodes
-  fprintf(mapfile,'\t%s',labels{i});
-end
-fprintf(mapfile,'\n');
-fclose(mapval);
-fclose(mapfile);
-
-%Need to rearrange the means and stdevs to match the new labeling.
-means = cell(1,nnodes);
-stdevs = cell(1,nnodes);
-for i = 1:nnodes
-    for j = 1:nnodes
-       if strcmp(labels{i},labelsold{j})
-          means{i} = m(j);
-          stdevs{i} = s(j);
-          break
-       end
-    end
-end
-
-
-[bnet]=parameterLearning(bnet,cases);
-
-filename=strcat(pre,'net_figure.txt');
-
-drawFigure(nnodes,bnet,labels,filename,cases,stdevs,means);
-
-writeParameters(pre,nnodes,bnet,labels,cases,labelsold,s,m);
-
-end