code: def predict_ratings(self, items_to_predict, normalize):
      if items_to_predict == ItemSet.TRAIN_ONLY:
          return self.model.predict_training_items(
              test=self.input_data, normalize=normalize
          )
      if items_to_predict == ItemSet.SCORE_ONLY:
          return self.model.predict(
              test=self.input_data, normalize=normalize
          )
      raise ValueError(
          f"Got unexpected 'items to predict': {items_to_predict}."
      )
  
imports: import argparse
  from distutils.util import strtobool
  from enum import Enum
  from pathlib import Path
  import joblib
  from azureml.studio.core.data_frame_schema import DataFrameSchema
  from azureml.studio.core.logger import module_logger
  from azureml.studio.core.io.data_frame_directory import load_data_frame_from_directory, save_data_frame_to_directory
  from azureml.studio.core.io.model_directory import load_model_from_directory
label_desc: Use image node_id 5 for calling the ScoreSARModule obj's underlying member method code with example usage: obj.predict_ratings(items_to_predict, normalize) and returns: self, self