code: def setUp(self):
      # load data
      (
          self.x_train,
          self.x_test,
          self.y_train,
          self.y_test,
          self.feature_names,
          self.target_names,
      ) = DiabetesDataset().load_data(
          test_size=0.2, random_state=42, return_only_numerical=True
      )
      self.clf = RandomForestRegressor().fit(self.x_train, self.y_train)
  
file_path: AIX360/tests/gce/test_gce.py
imports: import unittest
  from aix360.datasets import DiabetesDataset
  from sklearn.ensemble import RandomForestRegressor
  from aix360.algorithms.gce.gce import GroupedCEExplainer
label_desc: Use image node_id 1 for calling the TestGroupedCEExplainer obj's underlying member method code with example usage: obj.setUp() without return types