class_docstr: Class for mapping features to the specific domain.
  
  The idea is that there would be a subclass for each domain (text, tables,
  images, etc), so that we can have a general Explanation class, and separate
  out the specifics of visualizing features in here.
code: def __init__(self):
      pass
  
imports: from io import open
  import os
  import os.path
  import json
  import string
  import numpy
  from .exceptions import LimeError
  from sklearn.utils import check_random_state
label_desc: Use image node_id 1 to create a new DomainMapper object from inherited base classes: object with example: obj = DomainMapper()