class_docstr: Compute baselines based on training information considering information about users and items
code: def compute_bui(self):
      # bui = mi + bu + bi
      for user in self.training_set["users"]:
          for item in self.training_set["items"]:
              try:
                  self.bui.setdefault(user, {}).update(
                      {
                          item: self.training_set["mean_value"]
                          + self.bu[user]
                          + self.bi[item]
                      }
                  )
              except KeyError:
                  self.bui.setdefault(user, {}).update(
                      {item: self.training_set["mean_value"]}
                  )
  
file_path: CaseRecommender/caserec/utils/extra_functions.py
imports: import sys
  import time
label_desc: Use image node_id 5 for calling the ComputeBui obj's underlying member method code with example usage: obj.compute_bui() without return types