code: def test_model_output(
      self, sample_adultincome_query, public_data_object, prediction
  ):
      # Initializing data and model objects
      self.m.load_model()
      # initializing data transformation required for ML model
      self.m.transformer = DataTransfomer(
          func="ohe-min-max", kw_args=None
      )
      self.m.transformer.feed_data_params(public_data_object)
      self.m.transformer.initialize_transform_func()
      output_instance = self.m.get_output(
          sample_adultincome_query, transform_data=True
      )
  
      if tf.__version__[0] == "1":
          predictval = self.sess.run(output_instance)[0][0]
      else:
          predictval = output_instance.numpy()[0][0]
      assert predictval is not None
  
file_path: DiCE/tests/test_model_interface/test_keras_tensorflow_model.py
imports: import pytest
  import dice_ml
  from dice_ml.utils import helpers
  from dice_ml.utils.helpers import DataTransfomer
label_desc: Use image node_id 3 for calling the TestKerasModelMethods obj's underlying member method code with example usage: obj.test_model_output(sample_adultincome_query, public_data_object, prediction) without return types