docs: def as_json_range(self, name):
          """Represent the parameter range as a dictionary suitable for a request to
          create an Amazon SageMaker hyperparameter tuning job using one of the deep learning frameworks.
  
          The deep learning framework images require that hyperparameters be serialized as JSON.
  
          Args:
              name (str): The name of the hyperparameter.
  
          Returns:
              dict[str, list[str]]: A dictionary that contains the name and values of the hyperparameter,
                  where the values are serialized as JSON.
          """
          return {'Name': name, 'Values': [json.dumps(v) for v in self.values]}