code: def test_grid_search(self):
      tuned_parameters = [
          {"max_depth": [3, 4], "n_estimators": [50, 100]}
      ]
  
      df = pdml.ModelFrame(datasets.load_digits())
      cv = df.model_selection.GridSearchCV(
          df.xgb.XGBClassifier(), tuned_parameters, cv=5
      )
  
      with tm.RNGContext(1):
          df.fit(cv)
  
      result = df.model_selection.describe(cv)
      expected = pd.DataFrame(cv.cv_results_)
      self.assertIsInstance(result, pdml.ModelFrame)
      tm.assert_frame_equal(result, expected)
  
file_path: pandas-ml/pandas_ml/xgboost/test/test_base.py
imports: import matplotlib
  import numpy
  import pandas
  import pandas_ml
  import pandas_ml.util.testing
  import sklearn.datasets
  import xgboost
label_desc: Use image node_id 4 for calling the TestXGBoost obj's underlying member method code with example usage: obj.test_grid_search() without return types