docstr: Init method
  
  :param data_interface: an interface class to access data related params.
  :param model_interface: an interface class to access trained ML model.
code: def __init__(self, data_interface, model_interface=None):
      """Init method
  
      :param data_interface: an interface class to access data related params.
      :param model_interface: an interface class to access trained ML model.
      """
      # initiating data and model related parameters
      self.data_interface = data_interface
      if model_interface is not None:
          # self.data_interface.create_ohe_params()
          self.model = model_interface
          self.model.load_model()  # loading pickled trained model if applicable
          self.model.transformer.feed_data_params(data_interface)
          self.model.transformer.initialize_transform_func()
  
imports: import pickle
  from abc import ABC, abstractmethod
  from collections.abc import Iterable
  from typing import Any, List
  import numpy
  import pandas
  from raiutils.exceptions import UserConfigValidationException
  from sklearn.neighbors import KDTree
  from tqdm import tqdm
  from dice_ml.constants import ModelTypes, _PostHocSparsityTypes
  from dice_ml.counterfactual_explanations import CounterfactualExplanations
label_desc: Use image node_id 1 to create a new ExplainerBase object from inherited base classes: ABC with example: obj = ExplainerBase(data_interface, model_interface)