docstr: Method to predict a single score for a pair (user, item)
  
  :param user: User ID
  :type user: int
  
  :param item: Item ID
  :type item: int
  
  :return: Score generate for pair (user, item)
  :rtype: float
docstr_tok: ["Method","to","predict","a","single","score","for","a","pair","(","user",",","item",")",":","param","user",":","User","ID",":","type","user",":","int",":","param","item",":","Item","ID",":","type","item",":","int",":","return",":","Score","generate","for","pair","(","user",",","item",")",":","rtype",":","float"]
code: def predict_score(self, user, item):
      """
      Method to predict a single score for a pair (user, item)
  
      :param user: User ID
      :type user: int
  
      :param item: Item ID
      :type item: int
  
      :return: Score generate for pair (user, item)
      :rtype: float
  
      """
  
      return np.dot(self.p[user], self.q[item])
  
file_path: CaseRecommender/caserec/recommenders/item_recommendation/bprmf.py
imports: import random
  import numpy
  from caserec.recommenders.item_recommendation.base_item_recommendation import BaseItemRecommendation
  from caserec.utils.extra_functions import timed
label_desc: Use image node_id 6 for calling the BprMF obj's underlying member method code with example usage: obj.predict_score(user, item) and returns: np