code: def label_encode(self, input_instance):
      for column in self.data_interface.categorical_feature_names:
          input_instance[column] = self.labelencoder[column].transform(
              input_instance[column]
          )
      return input_instance
  
imports: import copy
  import random
  import timeit
  import numpy
  import pandas
  from raiutils.exceptions import UserConfigValidationException
  from dice_ml import diverse_counterfactuals
  from dice_ml.constants import ModelTypes
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
label_desc: Use image node_id 18 for calling the DiceGenetic obj's underlying member method code with example usage: obj.label_encode(input_instance) and returns: input_instance