code: def process_training_data(
      self, training_data: TrainingData
  ) -> TrainingData:
      # classify and add the attributes to the messages on the training data
      return training_data
  
imports: from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.nlu.classifiers.diet_classifier import DIETClassifier
label_desc: Use image node_id 1 for calling the DIETFeaturizer obj's underlying member method code with example usage: obj.process_training_data(training_data) and returns: training_data