class_docstr: Compute baselines based on training information considering information about users and items
docstr: :param training_set: Dictionary returned by ReadFile with method read()
  :type training_set: dict
docstr_tok: [":","param","training_set",":","Dictionary","returned","by","ReadFile","with","method","read","(",")",":","type","training_set",":","dict"]
code: def __init__(self, training_set):
      """
  
      :param training_set: Dictionary returned by ReadFile with method read()
      :type training_set: dict
      """
      self.training_set = training_set
      self.bu = dict()
      self.bi = dict()
      self.bui = dict()
  
file_path: CaseRecommender/caserec/utils/extra_functions.py
imports: import sys
  import time
label_desc: Use image node_id 1 to create a new ComputeBui object from inherited base classes: object with example: obj = ComputeBui(training_set)