1 files changed, 0 insertions, 86 deletions
diff --git a/BNW_parameter_learning/Predictmultiple.m b/BNW_parameter_learning/Predictmultiple.m
deleted file mode 100644
index 019488a3..00000000
--- a/BNW_parameter_learning/Predictmultiple.m
+++ /dev/null
@@ -1,86 +0,0 @@
-function Predictmultiple(pre)
-% Predictmultiple is used when predicting the impact of entering
-%    evidence on the network. The 'multiple' part refers to 
-%    it working when evidence for multiple nodes is entered.
-%
-% The input is 'pre'-- the prefix for the network and data
-%      in BNW. It reads information from several files from BNW. 
-%
-% The output is ???net_figure_new.txt. It also calls 
-%      writeParameters_ev to write the parameter file.
-%
-% It is called by the run_octave_evd file in the 'sourcecodes' directory.
-
-
-
-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(1,3);
-    for j=1:3
-        [next,buffer] = strtok(buffer);
-        temp{j} = next;
-    end
-    labels_orig{i} = temp{1};
-    means_orig{i} = str2num(temp{3});
-    stdevs_orig{i} = str2num(temp{2});
-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