class_docstr: Base class that holds necessary (minimal) information needed
docstr: Normalizes the entity features
docstr_tok: ["Normalizes","the","entity","features"]
code: def normalize(self):
      """Normalizes the entity features"""
      if self.feat_normalize:
          for i in range(len(self.entities)):
              if isspmatrix_csr(self.entities[i]):
                  logger.info("Normalizing CSR matrix")
                  self.entities[i] = normalize(self.entities[i])
              else:
                  self.entities[i] = length_normalize(self.entities[i])
  
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 2 for calling the Dataset obj's underlying member method code with example usage: obj.normalize() without return types