code: def get_plot_objs(self, model_type):
      for df, features, feat_types in self.data_gen.get_dummy_dfs():
          model = DummyModel(
              model_type, features, feat_types, interact=True
          )
          yield InteractPredictPlot(
              df,
              features,
              ["Feature 1", "Feature 2"],
              model=model,
              model_features=_make_list(features[0])
              + _make_list(features[1]),
              n_classes=0 if model_type == "regression" else None,
          )
  
imports: import pytest
  import numpy
  from pdpbox.info_plots import TargetPlot, PredictPlot, InteractTargetPlot, InteractPredictPlot
  from pdpbox.utils import FeatureInfo, _make_list
  from conftest import DummyModel, PlotTestBase
label_desc: Use image node_id 1 for calling the TestInteractPredictPlot obj's underlying member method code with example usage: obj.get_plot_objs(model_type) without return types