code: def test_calculate_properties(skorch_regressor_explainer):
      skorch_regressor_explainer.calculate_properties(
          include_interactions=False
      )
  
imports: import pytest
  import numpy
  import pandas
  from sklearn.datasets import make_classification, make_regression
  from torch import nn
  from skorch import NeuralNetClassifier, NeuralNetRegressor
  from explainerdashboard.explainers import RegressionExplainer, ClassifierExplainer
label_desc: Use image node_id 11 for calling a global function with example usage: test_calculate_properties(skorch_regressor_explainer) without return types