class_docstr: Handles MovieLens-100K
code: def __init__(self, **kwargs):
      super().__init__(self.__class__.__name__, **kwargs)
      self.min_rating = 1
      self.max_rating = 5
  
imports: import logging
  import pandas
  import numpy
  from scipy.sparse import coo_matrix, isspmatrix_csr
  from sklearn.model_selection import train_test_split
  from sklearn.preprocessing import normalize
  from recommenders.utils.python_utils import binarize
  from .geoimc_utils import length_normalize, reduce_dims
label_desc: Use image node_id 1 to create a new ML_100K object from inherited base classes: Dataset with example: obj = ML_100K()