Update CSFS_SMBA.py

src/CSFS_SMBA.py

@@ -34,50 +34,7 @@ def checkFolder(root, path_output):
         else:
             raise
 
-def OCC_DecisioneRule(clf_score, cls, clf_name, target):
 
-    n_classes = len(cls)
-
-    DTS = {}
-    for ccn in clf_name:
-        hits = []
-        res = []
-        preds = []
-
-        for i in xrange(0,n_classes):
-            e_th =  np.asarray(clf_score['C'+str(cls[i])]['accuracy'][ccn])
-
-            e_th[np.where(e_th==-1)] = 0
-
-            hits.append(e_th)
-
-        ensemble_hits = np.vstack(hits)
-
-        for i in xrange(0, ensemble_hits.shape[1]): # number of sample
-            hits = ensemble_hits[:,i]
-            cond = np.sum(hits)
-
-            if cond == 1: #rule 1
-                pred = np.where(hits==1)[0]
-                pred = cls[pred][0]
-                preds.append(pred)
-            elif cond == 0: #rule 2 (tie among all OCC)
-                pred = cls[rnd.randint(0, len(cls) - 1)]
-                preds.append(pred)
-            elif cond > 0:
-                tied_cls = np.where(hits==1)[0]
-                pred = tied_cls[rnd.randint(0, len(tied_cls) - 1)]
-                preds.append(pred)
-
-        test_score = accuracy_score(target, preds)
-
-        dic_test_score = {
-            ccn: test_score
-        }
-
-        DTS.update(dic_test_score)
-
-    return DTS
 
 def classificationDecisionRule(clf_score, cls, clf_name, target):
 
@@ -426,4 +383,4 @@ def main():
 
 
 if __name__ == '__main__':
-    main()
+    main()