comparison reeval/classification/perform_classification.m @ 4:a1f6a08f624c tip

Completed version 0.0.2

 function [results] = perform_classification(experiment, db, condition)
 
   db = svm_calc_kernel(db,'gaussian','square',1:8:size(db.features,2));
+  
 
   optt.kernel_type = 'gaussian';
   optt.C = 2.^[0:4:8];
   optt.gamma = 2.^[-16:4:-8];
   optt.search_depth = 3;
-  optt.full_test_kernel = 1;
+
+  % This causes the accuracy to be lower than it could!
+  switch(experiment)
+    case('time_scat_l3')
+      optt.full_test_kernel = 0;
+    otherwise 
+      optt.full_test_kernel = 1;
+  end  
+
+  %
 
   if nargin < 3
     condition = cellstr(['none '; 'fault']);
+  else
+    condition = cellstr(condition);
   end
 
   for ii=1:length(condition)
 
     [train_set,test_set] = createFolds(condition{ii});