text: import skipthoughts
  import eval_AZ
  import sys
  
  if sys.argv[1]=='train':
      model = skipthoughts.load_model()
      eval_AZ.evaluate(model, evalcv=True, evaltest=False)
  
  elif sys.argv[1]=='eval':
      model = skipthoughts.load_model()
      eval_AZ.evaluate(model, evalcv=False, evaltest=True)
  
  elif sys.argv[1]=='eval_nb':
      model = skipthoughts.load_model()
      eval_AZ.evaluate(model, evalcv=False, evaltest=True, nb_feature=True)
  
  elif sys.argv[1]=='train_eval':
      #default: logistic regression
      model = skipthoughts.load_model()
      eval_AZ.evaluate(model, evalcv=True, evaltest=True)
  
  elif sys.argv[1]=='train_eval_nb':
      #default: logistic regression
      model = skipthoughts.load_model()
      for i in range(2, 4):
          eval_AZ.evaluate(model, evalcv=True, evaltest=True, nb_feature=True, nb_tag=i)
  
  elif sys.argv[1] == 'train_eval_SVM':
      model = skipthoughts.load_model()
      eval_AZ.evaluate(model, evalcv=True, evaltest=True, classifier='SVM')
  