code: def compute(
      self,
      verbose=True,
      metrics=list(["PREC", "RECALL", "MAP", "NDCG"]),
      verbose_evaluation=True,
      as_table=False,
      table_sep="\t",
  ):
      if verbose:
          print(
              "[Case Recommender: Item Recommendation > %s]\n"
              % self.recommender_name
          )
  
      self.run_co_clustering()
      self.recommender()
  
      if self.test_file is not None:
          ItemRecommendationEvaluation(
              metrics=metrics,
              as_table=as_table,
              table_sep=table_sep,
              verbose=verbose_evaluation,
          ).evaluate_recommender(self.predictions, self.test_set)
  
file_path: CaseRecommender/caserec/recommenders/item_recommendation/paco_recommender.py
imports: from collections import defaultdict
  import numpy
  from caserec.clustering.paco import PaCo
  from caserec.evaluation.item_recommendation import ItemRecommendationEvaluation
  from caserec.utils.process_data import ReadFile
label_desc: Use image node_id 4 for calling the PaCoRecommender obj's underlying member method code with example usage: obj.compute(verbose, metrics, verbose_evaluation, as_table, table_sep) without return types