code: def test_quantile_model():
      """Tests quantile model with custom column names"""
      model = DummyEstimator(strategy="quantile", quantile=0.8)
  
      X = pd.DataFrame(
          {
              "time_name": pd.date_range(
                  "2018-01-01", periods=11, freq="D"
              ),
              "value_name": np.arange(11),
          }
      )
  
      model.fit(X, time_col="time_name", value_col="value_name")
      predicted = model.predict(X)
  
      expected = pd.DataFrame(
          {
              TIME_COL: X["time_name"],
              PREDICTED_COL: np.repeat(8.0, X.shape[0]),
          }
      )
  
      assert predicted.equals(expected)
  
file_path: greykite/greykite/tests/sklearn/estimator/test_null_model.py
imports: import numpy
  import pandas
  from sklearn.metrics import mean_absolute_error
  from sklearn.metrics import mean_squared_error
  from greykite.common.constants import PREDICTED_COL
  from greykite.common.constants import TIME_COL
  from greykite.common.constants import VALUE_COL
  from greykite.sklearn.estimator.null_model import DummyEstimator
label_desc: Use image node_id 5 for calling a global function with example usage: test_quantile_model() without return types