code: def before_evaluate(self, *args, **kwargs):
      self.called_before_evaluate = True
  
imports: from sklearn import svm
  import tests
  import lore.models.sklearn
  import lore.models.xgboost
  import lore.models.naive
  import lore.estimators.sklearn
  import lore.estimators.xgboost
  import lore.estimators.naive
label_desc: Use image node_id 6 for calling the NaiveBinaryClassifier obj's underlying member method code with example usage: obj.before_evaluate() without return types