Classification binding thrombin data set

@@ -189,10 +189,10 @@ if __name__ == "__main__":
         print("   Done!")
         print("   Done!")
         print('     New shape of training matrix: ', X_train.shape)
         print('     New shape of training matrix: ', X_train.shape)
 
 
-    jobs = -1
+    jobs = 2
     paramGrid = []
     paramGrid = []
-    nIter = 20
-    crossV = 10
+    nIter = 5
+    crossV = 5
     print("Defining randomized grid search...")
     print("Defining randomized grid search...")
     if args.classifier == 'SVM':
     if args.classifier == 'SVM':
         # SVM
         # SVM