code: def test_predict_custom(
      self, desired_class, sample_custom_query_2, mocker
  ):
      self.exp.data_interface.set_continuous_feature_indexes(
          query_instance=sample_custom_query_2
      )
      self.exp.yloss_type = "hinge_loss"
      mocker.patch(
          "dice_ml.explainer_interfaces.dice_genetic.DiceGenetic.label_decode",
          return_value=None,
      )
      mocker.patch(
          "dice_ml.model_interfaces.base_model.BaseModel.get_output",
          return_value=[[0, 0.5, 0.5]],
      )
      custom_preds = self.exp._predict_fn_custom(
          sample_custom_query_2, desired_class
      )
      assert custom_preds[0] == desired_class
  
imports: import pytest
  import sklearn
  from raiutils.exceptions import UserConfigValidationException
  import dice_ml
  from dice_ml.utils import helpers
  from dice_ml.utils.neuralnetworks import MulticlassNetwork
label_desc: Use image node_id 3 for calling the TestDiceGeneticMultiClassificationMethods obj's underlying member method code with example usage: obj.test_predict_custom(desired_class, sample_custom_query_2, mocker) without return types