Deleting parameter learning folder

There was an extra folder with the Matlab/Octave parameter learning files. These were out of date, so I deleted them and kept the versions in the sourcecoades directory.

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