code: def _get_exp(
      self, backend, method="random", is_public_data_interface=True
  ):
      if is_public_data_interface:
          dataset = helpers.load_adult_income_dataset()
          d = dice_ml.Data(
              dataframe=dataset,
              continuous_features=["age", "hours_per_week"],
              outcome_name="income",
          )
      else:
          d = dice_ml.Data(
              features={
                  "age": [17, 90],
                  "workclass": [
                      "Government",
                      "Other/Unknown",
                      "Private",
                      "Self-Employed",
                  ],
                  "education": [
                      "Assoc",
                      "Bachelors",
                      "Doctorate",
                      "HS-grad",
                      "Masters",
                      "Prof-school",
                      "School",
                      "Some-college",
                  ],
                  "marital_status": [
                      "Divorced",
                      "Married",
                      "Separated",
                      "Single",
                      "Widowed",
                  ],
                  "occupation": [
                      "Blue-Collar",
                      "Other/Unknown",
                      "Professional",
                      "Sales",
                      "Service",
                      "White-Collar",
                  ],
                  "race": ["Other", "White"],
                  "gender": ["Female", "Male"],
                  "hours_per_week": [1, 99],
              },
              outcome_name="income",
          )
      ML_modelpath = helpers.get_adult_income_modelpath(backend=backend)
      m = dice_ml.Model(
          model_path=ML_modelpath, backend=backend, func="ohe-min-max"
      )
      exp = dice_ml.Dice(d, m, method=method)
      return exp
  
file_path: DiCE/tests/test_dice.py
imports: import pytest
  from raiutils.exceptions import UserConfigValidationException
  import dice_ml
  from dice_ml.utils import helpers
label_desc: Use image node_id 1 for calling the TestBaseExplainerLoader obj's underlying member method code with example usage: obj._get_exp(backend, method, is_public_data_interface) and returns: exp