code: def test_various_predictor_settings(daily_data_with_reg, params):
      """Tests a basic model with lagged regressors"""
      train_df = daily_data_with_reg["train_df"]
      test_df = daily_data_with_reg["test_df"][:20]
  
      # fit default model
      model = SilverkiteEstimator()
      model.fit(
          train_df, time_col=cst.TIME_COL, value_col=cst.VALUE_COL
      )
      assert model.forecast is None
  
      trained_model = model.model_dict
      assert "ct1" in trained_model["pred_cols"]
  
      # drop "ct1"
      model = SilverkiteEstimator(drop_pred_cols="ct1")
      model.fit(
          train_df, time_col=cst.TIME_COL, value_col=cst.VALUE_COL
      )
      assert model.forecast is None
  
      trained_model = model.model_dict
      assert "ct1" not in trained_model["pred_cols"]
  
      # fit a model with explicit predictors
      model = SilverkiteEstimator(
          explicit_pred_cols=["ct1", "ct2"],
          uncertainty_dict=params["uncertainty_dict"],
      )
      model.fit(
          train_df, time_col=cst.TIME_COL, value_col=cst.VALUE_COL
      )
      assert model.forecast is None
  
      trained_model = model.model_dict
      assert set(trained_model["pred_cols"]) == set(["ct1", "ct2"])
  
      model.predict(test_df)
      expected_forecast_cols = {
          "ts",
          "y",
          cst.QUANTILE_SUMMARY_COL,
          "err_std",
          "forecast_lower",
          "forecast_upper",
      }
      assert expected_forecast_cols.issubset(
          list(model.forecast.columns)
      )
  
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 16 for calling a global function with example usage: test_various_predictor_settings(daily_data_with_reg, params) without return types