SVMCrossVal.git

classify.m   1) function classify(varargin)

classify.m   2) 

classify.m   3) 

classify.m   4) 

classify.m   5) switch nargin
classify.m   6)     case 1
classify.m   7)         paramModel = varargin{1};

classify.m   8)         %PROJECT_BASE_PATH = 'D:\Analyze\Stimolos';
classify.m   9)         PROJECT_BASE_PATH = 'D:\Analyze\Choice\24pilot';

classify.m  10)         PROJECT_RESULT_PATH = 'results\SPM.mat';

classify.m  11)     otherwise
classify.m  12)         error('spmtoolbox:SVMCrossVal:arginError','Please Specify action and parameter model');

classify.m  13) end
classify.m  14) 

classify.m  15)         

classify.m  16)         % common params

classify.m  17)         calculateParams  = struct;

classify.m  18)         calculateParams.smoothed        = getDouble(paramModel.txtSmoothed);

classify.m  19) 

classify.m  20)         calculateParams.frameShiftStart = getDouble(paramModel.txtFrameShiftStart);  % -20;
classify.m  21)         calculateParams.frameShiftEnd   = getDouble(paramModel.txtFrameShiftEnd); %15;
classify.m  22)         calculateParams.decodeDuration  = getDouble(paramModel.txtFrameShiftDur);
classify.m  23)         calculateParams.psthStart       = getDouble(paramModel.txtPSTHStart); % -25;
classify.m  24)         calculateParams.psthEnd         = getDouble(paramModel.txtPSTHEnd); % 20;
classify.m  25)         calculateParams.baselineStart   = getDouble(paramModel.txtBaselineStart); % -22;
classify.m  26)         calculateParams.baselineEnd     = getDouble(paramModel.txtBaselineEnd); % -20;
classify.m  27) 
classify.m  28)         calculateParams.svmargs         = get(paramModel.txtSVMopts,'String');

classify.m  29)         calculateParams.sessionList     = 1:3;

classify.m  30) 

classify.m  31)         classStruct = parseClassDef(paramModel);
classify.m  32)         
classify.m  33)         

classify.m  34)         calculateParams.labelMap        = LabelMap(classStruct.labelCells , classStruct.conditionCells, 'auto'); % LabelMap({'<','>','<+<','>+>','<+>','>+<'},{-2,-1,1,2,3,4}); 0 is autolabel
classify.m  35)         calculateParams.classList       = getClasses(calculateParams.labelMap);
classify.m  36)         calculateParams.eventList       = classStruct.eventMatrix; %[9,11,13; 10,12,14];
classify.m  37) %         calculateParams.eventList       = getPSTEventMatrix(calculateParams.labelMap);
classify.m  38)         

classify.m  39)         subjectSelection = getSubjectIDString(paramModel);
classify.m  40)         decode = struct;
classify.m  41)         decode.decodePerformance = [];
classify.m  42)         decode.rawTimeCourse     = [];

classify.m  43)         

classify.m  44)         for subjectCell = subjectSelection
classify.m  45)             SubjectID = cell2mat(subjectCell);

classify.m  46)             namehelper = strcat('s',SubjectID); %Vars can not start with numbers.

classify.m  47) 

classify.m  48)             display('loading SPM.mat ...');

classify.m  49)             spm = load(fullfile(PROJECT_BASE_PATH,SubjectID,PROJECT_RESULT_PATH));

classify.m  50)             display('... done.');

classify.m  51) 
classify.m  52)             %% calculate

classify.m  53)             calculateParams.(namehelper).des             = spm.SPM;
classify.m  54)             calculateParams.(namehelper).voxelList       = parseVoxelList(paramModel,SubjectID);

classify.m  55)             assignin('base','calculateParams',calculateParams);

classify.m  56) 
classify.m  57)             display(sprintf('calculating cross-validation performance time-shift for Subject %s. Please Wait. ...',SubjectID));

classify.m  58)             display('switching off all warnings');

classify.m  59)             warning_state               = warning('off','all');

classify.m  60)             display('calculating ...');

classify.m  61)             decode.(namehelper)         = calculateDecodePerformance(calculateParams,SubjectID);

classify.m  62)             display('... done');

classify.m  63)             display('restoring warnings');
classify.m  64)             warning(warning_state);
classify.m  65)             

classify.m  66)             decode.decodePerformance    = [decode.decodePerformance decode.(namehelper).decodePerformance];
classify.m  67)             decode.rawTimeCourse        = [decode.rawTimeCourse decode.(namehelper).rawTimeCourse];

classify.m  68) 
classify.m  69)             assignin('base','decode',decode);
classify.m  70)         end

classify.m  71) 
classify.m  72)         display('Finished calculations.');

classify.m  73)         display('Plotting...');

classify.m  74) 

classify.m  75)         plotParams                   = struct;
classify.m  76)         plotParams.psthStart         = calculateParams.psthStart;
classify.m  77)         plotParams.psthEnd           = calculateParams.psthEnd;
classify.m  78)         plotParams.nClasses          = length(calculateParams.classList);

classify.m  79)         

classify.m  80)         plotParams.frameShiftStart   = calculateParams.frameShiftStart;
classify.m  81)         plotParams.frameShiftEnd     = calculateParams.frameShiftEnd;
classify.m  82)         plotParams.decodePerformance = decode.decodePerformance;
classify.m  83)         plotParams.rawTimeCourse     = decode.rawTimeCourse;
classify.m  84)         

classify.m  85)         if numel(subjectSelection) == 1
classify.m  86)           plotParams.SubjectID         = SubjectID;
classify.m  87)         else
classify.m  88)           plotParams.SubjectID         = 'Multiple';
classify.m  89)         end
classify.m  90) 
classify.m  91)         plotParams.smoothed          = boolToYesNoString(calculateParams.smoothed);
classify.m  92)          
classify.m  93) 

classify.m  94)         assignin('base','plotParams',plotParams);
classify.m  95) %         plotDecodePerformance(params.psthStart,params.psthEnd,params.nClasses,decode.decodeTable,params.frameShiftStart,params.frameShiftEnd,decode.rawTimeCourse);
classify.m  96)         plotDecodePerformance(plotParams);

classify.m  97)             

classify.m  98)         display('all done.');

classify.m  99)