def METHOD_NAME(self):
    from rasa import train
    os.environ["system_file"] = "./tests/testing_data/system.yaml"
    Utility.load_environment()
    bot = bson.ObjectId().__str__()
    pytest.bot = bot
    model_path = os.path.join('models', bot)
    if not os.path.exists(model_path):
        os.mkdir(model_path)
    train(
        domain='tests/testing_data/model_tester/domain.yml',
        config='tests/testing_data/model_tester/config.yml',
        training_files=['tests/testing_data/model_tester/nlu_with_entities/nlu.yml',
                        'tests/testing_data/model_tester/training_stories_success/stories.yml'],
        output=model_path,
        core_additional_arguments={"augmentation_factor": 100},
        force_training=True
    )
    yield None
    shutil.rmtree(model_path)