code: def get_lfw(max_size=None):
      dataset = fetch_lfw_people(color=True)
      # keep only one image per person
      return image_per_label(
          dataset.images,
          dataset.target,
          dataset.target_names,
          max_size=max_size,
      )
  
imports: from os import mkdir
  from os.path import exists, join
  from collections import defaultdict
  import pylab
  from sklearn.datasets import fetch_lfw_people
  from sklearn.impute import IterativeImputer
  import numpy
  from fancyimpute import SimpleFill, IterativeSVD, SoftImpute, BiScaler, KNN
  from fancyimpute.common import masked_mae, masked_mse
label_desc: Use image node_id 5 for calling a global function with example usage: get_lfw(max_size) and returns: image_per_label