code: def test_score_function(daily_data_with_reg):
      """Tests fit and its compatibility with predict/score.
      Checks score function accuracy without null model
      """
      model = SilverkiteEstimator(
          extra_pred_cols=["ct1", "regressor1", "regressor2"],
          impute_dict={
              "func": impute_with_lags,
              "params": {"orders": [7]},
          },
      )
      train_df = daily_data_with_reg["train_df"]
      test_df = daily_data_with_reg["test_df"]
  
      model.fit(
          X=train_df, time_col=cst.TIME_COL, value_col=cst.VALUE_COL
      )
      score = model.score(test_df, test_df[cst.VALUE_COL])
      pred_df = model.predict(test_df)
      assert list(pred_df.columns) == [cst.TIME_COL, cst.PREDICTED_COL]
      assert score == pytest.approx(
          mean_squared_error(
              pred_df[cst.PREDICTED_COL], test_df[cst.VALUE_COL]
          )
      )
      assert score == pytest.approx(4.6, rel=1e-2)
  
imports: import datetime
  import numpy
  import pandas
  import pytest
  from pandas.testing import assert_frame_equal
  from sklearn.linear_model import SGDRegressor
  from sklearn.metrics import mean_squared_error
  import greykite.common.constants
  from greykite.algo.forecast.silverkite.forecast_silverkite import SilverkiteForecast
  from greykite.common.features.timeseries_features import convert_date_to_continuous_time
  from greykite.common.features.timeseries_impute import impute_with_lags
  from greykite.common.python_utils import assert_equal
  from greykite.common.testing_utils import daily_data_reg
  from greykite.common.testing_utils import generate_df_for_tests
  from greykite.common.testing_utils import generate_df_with_reg_for_tests
  from greykite.sklearn.estimator.silverkite_estimator import SilverkiteEstimator
  from greykite.sklearn.estimator.testing_utils import params_component_breakdowns
  from greykite.sklearn.estimator.testing_utils import params_components
label_desc: Use image node_id 11 for calling a global function with example usage: test_score_function(daily_data_with_reg) without return types