code: def pyt_exp_object():
      backend = "PYT"
      dataset = helpers.load_adult_income_dataset()
      d = dice_ml.Data(
          dataframe=dataset,
          continuous_features=["age", "hours_per_week"],
          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="gradient")
      return exp
  
file_path: DiCE/tests/test_dice_interface/test_dice_pytorch.py
imports: import numpy
  import pytest
  import dice_ml
  from dice_ml.counterfactual_explanations import CounterfactualExplanations
  from dice_ml.utils import helpers
label_desc: Use image node_id 1 for calling a global function with example usage: pyt_exp_object() and returns: exp