code: def __init__(self, model_type, feat, feat_type, interact=False):
      self.feat = feat
      self.feat_type = feat_type
      self.interact = interact
  
      if model_type == "regression":
          self.predict = self.dummy_regression_predict
      elif model_type == "binary":
          self.predict_proba = self.dummy_binary_predict_proba
          self.n_classes_ = 2
      elif model_type == "multi-class":
          self.predict_proba = self.dummy_multi_class_predict_proba
          self.n_classes_ = DummyDataGenerator.DUMMY_MULTI_CLASSES
  
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 1 to create a new DummyModel object  with example: obj = DummyModel(model_type, feat, feat_type, interact)