docstr: This method create factors for users, items and bias
docstr_tok: ["This","method","create","factors","for","users",",","items","and","bias"]
code: def create_factors(self):
      """
      This method create factors for users, items and bias
  
      """
  
      self.p = np.random.normal(
          self.init_mean,
          self.init_stdev,
          (len(self.users), self.factors),
      )
      self.q = np.random.normal(
          self.init_mean,
          self.init_stdev,
          (len(self.items), self.factors),
      )
  
      if self.baseline:
          self.bu = np.zeros(len(self.users), np.double)
          self.bi = np.zeros(len(self.items), np.double)
  
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 4 for calling the MatrixFactorization obj's underlying member method code with example usage: obj.create_factors() without return types