code: def test_check_fairness_regression():
      # loading dataset
      data = pycaret.datasets.get_data("boston")
  
      # initialize setup
      pycaret.regression.setup(
          data,
          target="medv",
          html=False,
          n_jobs=1,
      )
  
      # train model
      lightgbm = pycaret.regression.create_model("lightgbm", fold=3)
  
      # check fairness
      lightgbm_fairness = pycaret.regression.check_fairness(
          lightgbm, ["chas"]
      )
      assert isinstance(lightgbm_fairness, pd.DataFrame)
  
imports: import pandas
  import pycaret.classification
  import pycaret.datasets
  import pycaret.regression
label_desc: Use image node_id 3 for calling a global function with example usage: test_check_fairness_regression() without return types