class_docstr: Tranformer for converting aif360 dataset to LIME dataset and vice versa.
  
  (LIME - Local Interpretable Model-Agnostic Explanations) [2]_
  
  See for details/usage:
  https://github.com/marcotcr/lime
  
  References:
      .. [2] M.T. Ribeiro, S. Singh, and C. Guestrin, '"Why should I trust
         you?" Explaining the predictions of any classifier.'
         https://arxiv.org/pdf/1602.04938v1.pdf
code: def __init__(self):
      super(LimeEncoder, self).__init__()
  
file_path: AIF360/aif360/datasets/lime_encoder.py
imports: import sklearn.preprocessing
  import numpy
  from aif360.algorithms import Transformer
label_desc: Use image node_id 1 to create a new LimeEncoder object from inherited base classes: Transformer with example: obj = LimeEncoder()