SVMCrossVal.git

1) %% subject loop
2) function decode = xsvm_subject_loop(header,subjectdata,svmopts)
3) 

4) addpath 'libsvm-mat-2.88-1';
5) 

6) nSubjects = numel(subjectdata);
7) 

8) RANDOMIZE_DATAPOINTS = 0;
9) 

10) decode = struct;
11) decode.decodePerformance = [];
12) decode.rawTimeCourse     = [];
13) 

14) disp(sprintf('computinig additional datastructs for %u subjects',nSubjects));

15) 
16) timeline = header.timeline;
17) 

18) % TimePointMatrix

19) for subjectDataID = 1:nSubjects
20)     currentSubject = subjectdata{subjectDataID};
21)     timePointArgs.pst           = currentSubject.pst;
22)     timePointArgs.labelMap      = LabelMap(header.classDef.labelCells,header.classDef.conditionCells);
23)     timePointArgs.eventList     = header.classDef.eventMatrix;
24) 
25)     timePointMatrix{subjectDataID} = buildTimePointMatrix(timeline,timePointArgs);

26)     
27)     decode.rawTimeCourse = [decode.rawTimeCourse currentSubject.pst];

28) end
29) 

30) % timeframe x-subject validation

31) timeLineStart   = timeline.frameShiftStart;
32) timeLineEnd     = timeline.frameShiftEnd;
33) 

34) display(sprintf('%u -fold cross validation for %u timeslices.\n',nSubjects,size(1:timeLineEnd-timeLineStart+1,2)));

35) % disp(sprintf('Press ANY-Key to continue.\n Use Retrun if your Keyboard lacks the ANY-Key.'));
36) % pause
37) 

38) for timeIndex = 1:timeLineEnd-timeLineStart+1

39)     cross_value = [];

40)     for validationSubjectID = 1:nSubjects

41)         svm_train_label = [];
42)         svm_train_data  = [];
43)         svm_validation_label = [];
44)         svm_validation_data  = [];

45)         for subjectDataID = 1:nSubjects
46)             svmstruct = calculateSVMTables(timePointMatrix{subjectDataID},timeIndex);
47)             if subjectDataID == validationSubjectID
48)                 svm_validation_label = svmstruct.svmlabel;
49)                 svm_validation_data  = svmstruct.svmdata;
50)             else
51)                 svm_train_label = [svm_train_label; svmstruct.svmlabel];
52)                 svm_train_data  = [svm_train_data;  svmstruct.svmdata];
53)             end
54)         end
55)         

56)         if RANDOMIZE_DATAPOINTS
57)             rndindex  = randperm(length(svm_train_label));
58)             svm_train_data   = svm_train_data(rndindex,:);
59)             svm_train_label  = svm_train_label(rndindex);
60)         end
61) 

62)         svmmodel = svmtrain(svm_train_label,svm_train_data,svmopts);
63)         
64)         [plabel accuracy dvalue] = svmpredict(svm_validation_label,svm_validation_data,svmmodel,'');

65)         cross_value = [cross_value accuracy(1)];

66)         

67)     end

68)     decode.decodePerformance = [decode.decodePerformance; cross_value];

69)     

70) end

71) 
72) disp('decode done');