code: def __init__(self, cofrnet_model):
      self.model = cofrnet_model
  
imports: import sys
  import pandas
  import numpy
  import torch
  import torch.nn
  from torch.autograd import Function
  from torch.nn.parameter import Parameter
  import torch.nn.functional
  from sklearn.preprocessing import MinMaxScaler
  from sklearn.model_selection import train_test_split
  from aix360.algorithms.cofrnet.utils import generate_connections
  from aix360.algorithms.cofrnet.utils import process_data
  from aix360.algorithms.cofrnet.CustomizedLinearClasses import CustomizedLinearFunction
  from aix360.algorithms.cofrnet.CustomizedLinearClasses import CustomizedLinear
  from aix360.algorithms.die import DIExplainer
label_desc: Use image node_id 1 to create a new CoFrNet_Explainer object from inherited base classes: DIExplainer with example: obj = CoFrNet_Explainer(cofrnet_model)