code: def daily_data():
      return generate_df_for_tests(
          freq="D",
          periods=1000,
          train_start_date=datetime.datetime(2018, 1, 1),
          conti_year_origin=2018,
      )
  
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 3 for calling a global function with example usage: daily_data() and returns: generate_df_for_tests