docstr: Method to treat and initialize the model
docstr_tok: ["Method","to","treat","and","initialize","the","model"]
code: def init_model(self):
      """
      Method to treat and initialize the model
  
      """
      self.feedback_triples = []
  
      # Map interaction with ids
      for user in self.train_set["feedback"]:
          for item in self.train_set["feedback"][user]:
              self.feedback_triples.append(
                  (
                      self.user_to_user_id[user],
                      self.item_to_item_id[item],
                      self.train_set["feedback"][user][item],
                  )
              )
  
      # Initialize factors
      self.create_factors()
  
file_path: CaseRecommender/caserec/recommenders/rating_prediction/matrixfactorization.py
imports: import numpy
  from caserec.recommenders.rating_prediction.base_rating_prediction import BaseRatingPrediction
  from caserec.utils.extra_functions import timed
label_desc: Use image node_id 2 for calling the MatrixFactorization obj's underlying member method code with example usage: obj.init_model() without return types