code: def test_unregularized_training_model_has_reasonable_accuracy(self):
      algorithm = self.get_algorithm(regularization_weight=0.0)
      model = build_model()
      training_model = algorithm.get_training_model(model)
      train_model(training_model)
      accuracy = evaluate_model(training_model)
      self.assertGreater(accuracy, 0.9)
  
imports: import os
  import shutil
  from absl.testing import parameterized
  import tensorflow
  from tensorflow_model_optimization.python.core.common.keras.compression.algorithms import epr
label_desc: Use image node_id 9 for calling the EPRTest obj's underlying member method code with example usage: obj.test_unregularized_training_model_has_reasonable_accuracy() without return types