class_docstr: The memorized algorithm memorizes socres provided at construction time.
class_docstr_tok: ["The","memorized","algorithm","memorizes","socres","provided","at","construction","time","."]
docstr: Args:
      scores(pandas.DataFrame): the scores to memorize.
code: def __init__(self, scores):
      """
      Args:
          scores(pandas.DataFrame): the scores to memorize.
      """
  
      self.scores = scores
  
imports: import logging
  from collections.abc import Iterable, Sequence
  import pandas
  import numpy
  from ..data import sparse_ratings
  from .None import Predictor, Recommender, CandidateSelector
  from ..util import derivable_rng
  from .bias import Bias
  from .ranking import TopN
label_desc: Use image node_id 1 to create a new Memorized object from inherited base classes: Predictor with example: obj = Memorized(scores)