code: def dummy_regression_predict(self, x):
      if self.interact:
          return sum(
              self._compute_feature(x, f, t)
              for f, t in zip(self.feat, self.feat_type)
          )
      else:
          return self._compute_feature(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 4 for calling the DummyModel obj's underlying member method code with example usage: obj.dummy_regression_predict(x) and returns: sum, self