added randomize datapoints option
Christoph Budziszewski

Christoph Budziszewski commited on 2009-03-16 20:09:44
Zeige 5 geänderte Dateien mit 14 Einfügungen und 6 Löschungen.


git-svn-id: https://svn.discofish.de/MATLAB/spmtoolbox/SVMCrossVal@157 83ab2cfd-5345-466c-8aeb-2b2739fb922d
... ...
@@ -1,6 +1,6 @@
1 1
 function outputStruct = calculateDecodePerformance(header,subjectStruct,svmopts)
2 2
 outputStruct = struct;
3
-RANDOMIZE_DATAPOINTS = 1;
3
+RANDOMIZE_DATAPOINTS = header.svmrnd;
4 4
 
5 5
 timeline = header.timeline;
6 6
 timeline.frameShiftStart = header.frameShift.frameShiftStart;
... ...
@@ -6,8 +6,7 @@ decode.decodePerformance = [];
6 6
 decode.rawTimeCourse     = [];
7 7
 
8 8
 nSubjects = numel(subjectdata);
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-% disp(sprintf('we have %g subjects. Press ANY-Key to continue.\n Use Retrun if your Keyboard lacks the ANY-Key.',numel(subjectdata)));
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-% pause
9
+
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 disp(sprintf('batch processing %g subjects',nSubjects));
12 11
 
13 12
 for subjectDataID = 1:nSubjects
... ...
@@ -85,6 +85,7 @@ switch task
85 85
     case 'SVM'
86 86
         disp('SVM');
87 87
         svmopts    = getSvmArgs(model,1);
88
+        header.svmrnd = getSvmRnd(model);
88 89
         decode = calculateMultiSubjectDecodePerformance(header,data,svmopts);
89 90
         decode.header = header;
90 91
         assignin('base','decode',decode);
... ...
@@ -13,8 +13,10 @@ DEFAULT.classdefstring  = 'left,\t[9,11,13]\nright,\t[10,12,14]';
13 13
 DEFAULT.voxelstring     = 'SPL l + [ 0, 0, 0] \nSPL r + [ 0, 0, 0]\n';
14 14
 DEFAULT.svmoptstring    = '-s 0 -t 0 -c 1';
15 15
 DEFAULT.svmnfold        = '6';
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+DEFAULT.svmrnd          = 1;
16 17
 DEFAULT.searchlightradius = 0;
17 18
 
19
+
18 20
 DEFAULT.wd  = fullfile('d:','Analyze','Choice','24pilot');
19 21
 
20 22
 %  Initialize and hide the GUI as it is being constructed.
... ...
@@ -307,12 +309,18 @@ pSVM = uipanel(parent,'Units','normalized','Position',[0 0.4 0.5 0.4]);
307 309
     set(pSVM,'Title','SVM Classification');
308 310
     set(pSVM,'BackgroundColor',basecolor);
309 311
 
310
-    model.txtSVMopts = createTextField(pSVM,[0 0.75 1 0.25],DEFAULT.svmoptstring);
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+    model.txtSVMopts = createTextField(pSVM,[0 0.83 1 0.16],DEFAULT.svmoptstring);
311 313
     set(model.txtSVMopts,'HorizontalAlignment','left');
312 314
     
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-    model.txtSVMnfold = createTextField(pSVM,[0.0 0.50 0.5 0.25],DEFAULT.svmnfold);
315
+    model.txtSVMnfold = createTextField(pSVM,[0.0 0.66 0.5 0.16],DEFAULT.svmnfold);
314 316
     createLabel(pSVM,[0.5 0.50 0.5 0.25 ],'-Fold CrossVal');
315 317
     
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+    model.chkSVMrnd = uicontrol(pSVM,'Style','checkbox','Units','normalized','Position',[0.1 0.50 1 0.16]);
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+    set(model.chkSVMrnd,'String','Randomize Datapoints');
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+    set(model.chkSVMrnd,'BackgroundColor','w');
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+    set(model.chkSVMrnd,'Value',DEFAULT.svmrnd);
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+    
323
+    
316 324
 pSOM = uipanel(parent,'Units','normalized','Position',[0.5 0.4 0.5 0.4]);
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     set(pSOM,'Title','SOM Classification');
318 326
     set(pSOM,'BackgroundColor',basecolor);
... ...
@@ -8,7 +8,7 @@ if(nSubjects < 2)
8 8
     error('SVMCrossVal:xsvmSubjectLoop:tooFewSubjects','You need at least 2 Subjects in this Across-Subject analysis!');
9 9
 end
10 10
 
11
-RANDOMIZE_DATAPOINTS = 0;
11
+RANDOMIZE_DATAPOINTS = 1;
12 12
 
13 13
 decode = struct;
14 14
 decode.decodePerformance = [];
15 15