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- clear;
- clc;
- dataDir = 'D:/SocialNets/Steam/Exp_Test/Weights/Iter15/';
- files = dir(strcat(dataDir, 'res_Steam*.mat'));
- dateNow = clock;
- dateNow = strcat(num2str(dateNow(1)),'_',num2str(dateNow(2)),'_', num2str(dateNow(3)),'_', num2str(dateNow(4)), num2str(dateNow(5)),'_', num2str(dateNow(6)));
- outFile = sprintf('%sDumpResults_%s.txt',dataDir, dateNow);
- fileID = fopen(outFile,'w');
-
-
- ged = 0;
- first = 1;
- numAlg = 0;
- for f = files'
- data = load(strcat(dataDir,f.name));
- numResults = size(data.purity,2);
- numMissing = size(data.removed_nodes,2);
- line = numResults/numMissing;
- % print header
- if first == 1
- fprintf(fileID,'\tfile\tinx\titer\tnodes\tedges\tattEdges\tattNodes\tmissInx\tmissNum\tnumPHs\tavgPHs');
- for i=1:line
- r=data.purity(1,i);
- if r.withAttr == 0
- fprintf(fileID,'\t%d_Best\t%d_Orig',r.affinity_calculation_type,r.affinity_calculation_type);
- numAlg = numAlg+1;
- else
- fprintf(fileID,'\t%d_Att%d',r.affinity_calculation_type,r.withAttr);
- end
- end
- fprintf(fileID,'\n');
- first = 0;
- end
- numAlgVars = line/numAlg;
-
- %print data
- for i=1:numResults
- r = data.purity(1,i);
- if mod(i,line)==1 || numResults==1
- fprintf(fileID,'\t%s',data.file);
- fprintf(fileID,'\t%d',data.i);
- fprintf(fileID,'\t%d',data.iter);
- fprintf(fileID,'\t%d',r.graph_size);
- fprintf(fileID,'\t%d',r.graph_edges); %12.12.12
- fprintf(fileID,'\t%d',r.graph_attr_edges); % 12.12.12
- fprintf(fileID,'\t%d', data.purity(1,i).num_attr_nodes);
- fprintf(fileID,'\t%d',r.num_missing_nodes_idx);
- fprintf(fileID,'\t%d',r.num_missing_nodes);
- fprintf(fileID,'\t%d',r.num_placeholders);
- fprintf(fileID,'\t%d',r.num_placeholders/r.num_missing_nodes);
- end
- if mod(i,numAlgVars)==1
- fprintf(fileID,'\t'); % place for min calculation
- end
- if ged == 1
- fprintf(fileID,'\t%d',r.edit_distance);
- else
- fprintf(fileID,'\t%d',r.score);
- end
- if mod(i,line)==0
- fprintf(fileID,'\n');
- end
- end
- end
-
- fclose(fileID);
- LogMsg(sprintf('Completed DumpResults at%s',outFile));
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