Corrected a bug where decode was possible even without training

transition_machine/src/Classifier.cpp

@@ -152,6 +152,12 @@ void Classifier::initClassifier(Config & config)
     return;
   }
 
+  if (!trainMode)
+  {
+    fprintf(stderr, "ERROR (%s) : could not find model \'%s\'. Maybe training was stopped before any model could be saved. Aborting.\n", ERRINFO, modelFilename.c_str());
+    exit(1);
+  }
+
   nn.reset(createNeuralNetwork());
 
   Dict::initDicts(nn->getModel(), name);