code: def scale_face(face):
      """Scale back to 0-1 range in case of normalization for plotting"""
      scaled = face - face.min()
      scaled /= scaled.max()
      return scaled
  
file_path: catboost/contrib/python/scikit-learn/py2/sklearn/datasets/lfw.py
imports: from os import listdir, makedirs, remove, rename
  from os.path import join, exists, isdir
  from sklearn.utils import deprecated
  import logging
  import numpy
  from .base import get_data_home, Bunch
  from ..externals.joblib import Memory
  from ..externals.six import b
label_desc: Use image node_id 1 for calling a global function with example usage: scale_face(face) and returns: scaled