code: def rf_regressor():
      X, y = datasets["regression"]
      model = sklearn.ensemble.RandomForestRegressor()
      model.fit(X, y)
      return model, X, model.predict(X)
  
imports: import numpy
  import pytest
  import sklearn
  import shap
  from shap.utils import assert_import
label_desc: Use image node_id 11 for calling a global function with example usage: rf_regressor() and returns: model,  X,  model