SVMCrossVal.git

more x-svm classification
Parent 6a954b4
Christoph Budziszewski

Christoph Budziszewski commited on 2009-03-12 17:15:24
Zeige 5 geänderte Dateien mit 90 Einfügungen und 4 Löschungen. 

git-svn-id: https://svn.discofish.de/MATLAB/spmtoolbox/SVMCrossVal@149 83ab2cfd-5345-466c-8aeb-2b2739fb922d
defineGlobals.m
Zeige Datei @ 8959ce9
... ... 
@@ -22,4 +22,7 @@ SVMCROSSVAL_SUBJECT_PREFIX                        = 'subject';
22 22
23 23 
 global SVMCROSSVAL_SUBJECTSTRUCT_NAME;
24 24 
 SVMCROSSVAL_SUBJECTSTRUCT_NAME                    = 'subjectStruct';
25 
+
26 
+global SVMCROSSVAL_PREPROCESSED_DATA_NAME;
27 
+SVMCROSSVAL_PREPROCESSED_DATA_NAME                = 'preprocessedData';
25 28 
 end
26 29 
\ No newline at end of file
private/calculateSVMTables.m
Zeige Datei @ 8959ce9
... ... 
@@ -0,0 +1,8 @@
1 
+function svmstruct = calculateSVMTables(timePointMatrix,timeIndex)
2 
+    svmstruct.svmdata  = timePointMatrix{timeIndex}(:,2:size(timePointMatrix{timeIndex},2));
3 
+    svmstruct.svmlabel = timePointMatrix{timeIndex}(:,1);
4 
+end
5 
+
6 
+
7 
+
8 
+
private/main.m
Zeige Datei @ 8959ce9
... ... 
@@ -72,16 +72,18 @@ end
72 72 
 end
73 73
74 74 
 function decode(model,task)
75 
+preprocessedData = evalin('base','preprocessedData');
75 76 
 switch task
76 77 
     case 'SVM'
77 78 
         disp('SVM');
78 79 
         svmopts    = getSvmArgs(model,1);
79 
-        preprocessedData = evalin('base','preprocessedData');
80 80 
         decode = calculateMultiSubjectDecodePerformance(preprocessedData.header,preprocessedData.subjectdata,svmopts);
81 81 
         assignin('base','decode',decode);
82 
-    case 'X-SVM'
82 
+    case 'XSVM'
83 83 
         disp('not implemented')
84 
-
84 
+        svmopts  = getSvmArgs(model,0);
85 
+        decode = xsvm_subject_loop(preprocessedData.header,preprocessedData.subjectdata,svmopts);
86 
+        assignin('base','decode',decode);
85 87 
     case 'SOM'
86 88 
         disp('not implemented')
87 89
private/ui_main.m
Zeige Datei @ 8959ce9
... ... 
@@ -132,7 +132,7 @@ pSOM = uipanel(parent,'Units','normalized','Position',[0.5 0.0 0.5 1]);
132 132 
         'Units','normalized',...
133 133 
         'Position',[0 0.0 1 0.25]);
134 134 
     set(btnRunXSVM,'Callback',{@cbRunDecode,model,'XSVM'}); % set here, because of model.
135 
-    set(btnRunXSVM,'Enable','off');
135 
+    set(btnRunXSVM,'Enable','on');
136 136
137 137 
     btnRunSOM = uicontrol(pSOM,'String','run SOM Crossvalidation',...
138 138 
         'Units','normalized',...
private/xsvm_subject_loop.m
Zeige Datei @ 8959ce9
... ... 
@@ -0,0 +1,73 @@
1 
+%% subject loop
2 
+function decode = xsvm_subject_loop(header,subjectdata,svmopts)
3 
+
4 
+nSubjects = numel(subjectdata);
5 
+
6 
+decode = struct;
7 
+decode.decodePerformance = [];
8 
+decode.rawTimeCourse     = [];
9 
+
10 
+disp(sprintf('we have %g subjects. Press ANY-Key to continue.\n Use Retrun if your Keyboard lacks the ANY-Key.',nSubjects));
11 
+pause
12 
+
13 
+
14 
+timeline = header.timeline;
15 
+
16 
+for subjectDataID = 1:nSubjects
17 
+    currentSubject = subjectdata{subjectDataID};
18 
+    timePointArgs.pst           = currentSubject.pst;
19 
+    timePointArgs.labelMap      = LabelMap(header.classDef.labelCells,header.classDef.conditionCells);
20 
+    timePointArgs.eventList     = header.classDef.eventMatrix;
21 
+
22 
+    timePointMatrix{subjectDataID} = buildTimePointMatrix(timeline,timePointArgs);
23 
+end
24 
+
25 
+timeLineStart   = timeline.frameShiftStart;
26 
+timeLineEnd     = timeline.frameShiftEnd;
27 
+
28 
+addpath 'libsvm-mat-2.88-1';
29 
+
30 
+for timeIndex = 1:timeLineEnd-timeLineStart+1
31 
+    svm_train_label = [];
32 
+    svm_train_data  = [];
33 
+    svm_validation_label = [];
34 
+    svm_validation_data  = [];
35 
+
36 
+    for validationSubjectID = 1:nSubjects
37 
+        for subjectDataID = 1:nSubjects
38 
+            svmstruct = calculateSVMTables(timePointMatrix{subjectDataID},timeIndex);
39 
+            if subjectDataID == validationSubjectID
40 
+                svm_validation_label = svmstruct.svmlabel;
41 
+                svm_validation_data  = svmstruct.svmdata;
42 
+            else
43 
+                svm_train_label = [svm_train_label; svmstruct.svmlabel];
44 
+                svm_train_data  = [svm_train_data;  svmstruct.svmdata];
45 
+            end
46 
+        end
47 
+
48 
+        svmmodel = svmtrain(svm_train_label,svm_train_data,svmopts);
49 
+
50 
+        [plabel accuracy dvalue] = svmpredict(svm_validation_label,svm_validation_data,svmmodel,'');
51 
+
52 
+        accuracy(1)
53 
+
54 
+%         decode.(namehelper)         = calculateDecodePerformance(header,currentSubject,svmopts);
55 
+%
56 
+%         display('... done');
57 
+%         display('restoring warnings');
58 
+%         warning(warning_state);
59 
+%
60 
+%         decode.decodePerformance    = [decode.decodePerformance decode.(namehelper).decodePerformance];
61 
+%         decode.rawTimeCourse        = [decode.rawTimeCourse decode.(namehelper).rawTimeCourse];
62 
+
63 
+%         assignin('base','decode',decode);
64 
+
65 
+        %         if RANDOMIZE_DATAPOINTS
66 
+        %         rndindex  = randperm(length(svmlabel));
67 
+        %         svmdata   = svmdata(rndindex,:);
68 
+        %         svmlabel  = svmlabel(rndindex);
69 
+        %         end
70 
+
71 
+    end
72 
+end
73 
+end
0 74