code: def predict_proba_func(self, x):
      if self.interact:
          values = [
              self._compute_score(x, f, t)
              for f, t in zip(self.feat, self.feat_type)
          ]
          return values[0] * values[1]
      else:
          return self._compute_score(x, self.feat, self.feat_type)
  
imports: import pytest
  import joblib
  import os
  import json
  import numpy
  import pandas
  from itertools import product
  import matplotlib
  from abc import ABC, abstractmethod
  import warnings
label_desc: Use image node_id 5 for calling the DummyModel obj's underlying member method code with example usage: obj.predict_proba_func(x) and returns: unknown, self