docstr: Returns prediction scores.
docstr_tok: ["Returns","prediction","scores","."]
code: def predict_fn_scores(self, input_instance):
      """Returns prediction scores."""
      out = self.model.get_output(input_instance)
      if (
          self.model.model_type == ModelTypes.Classifier
          and out.shape[1] == 1
      ):
          # DL models return only 1 for binary classification
          out = np.hstack((1 - out, out))
      return out
  
file_path: DiCE/dice_ml/explainer_interfaces/dice_KD.py
imports: import copy
  import timeit
  import numpy
  import pandas
  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 3 for calling the DiceKD obj's underlying member method code with example usage: obj.predict_fn_scores(input_instance) and returns: out