code: def skorch_regressor_explainer(skorch_regressor):
      model, X, y = skorch_regressor
      return RegressionExplainer(
          model, X, y, shap_kwargs=dict(check_additivity=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 3 for calling a global function with example usage: skorch_regressor_explainer(skorch_regressor) and returns: RegressionExplainer