clear; clc; dataDir = 'D:/SocialNets/Steam/Results_Test/FF75_50Att/GED_25w3/test/'; 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; 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 == 1 fprintf(fileID,'\tAtt %d\tDiff %d',r.affinity_calculation_type,r.affinity_calculation_type); else fprintf(fileID,'\tAlg %d',r.affinity_calculation_type); end end fprintf(fileID,'\n'); first = 0; end %print data for i=1:numResults r = data.purity(1,i); if mod(i,line)==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+1).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 ged == 1 fprintf(fileID,'\t%d',r.edit_distance); if mod(i,2)==0 fprintf(fileID,'\t%d',data.purity(1,i-1).edit_distance-r.edit_distance); end else fprintf(fileID,'\t%d',r.score); if mod(i,2)==0 fprintf(fileID,'\t%d',data.purity(1,i-1).score-r.score); end end if mod(i,line)==0 fprintf(fileID,'\n'); end end end fclose(fileID); LogMsg(sprintf('Completed DumpResults at%s',outFile));