code: def params():
      params = dict(
          forecast_horizon=12,
          freq="H",
          model_configs=[
              MultistageForecastModelConfig(
                  train_length="30D",
                  fit_length="30D",
                  agg_func="mean",
                  agg_freq="D",
                  estimator=SimpleSilverkiteEstimator,
                  estimator_params=dict(
                      coverage=None,
                      forecast_horizon=1,
                      freq="D",
                      daily_seasonality=0,
                      weekly_seasonality=3,
                      quarterly_seasonality=5,
                      monthly_seasonality=0,
                      yearly_seasonality=0,
                      changepoints_dict=None,
                      autoreg_dict="auto",
                      holidays_to_model_separately="auto",
                      holiday_lookup_countries="auto",
                      holiday_pre_num_days=1,
                      holiday_post_num_days=1,
                      holiday_pre_post_num_dict=None,
                      daily_event_df_dict=None,
                      fit_algorithm_dict={
                          "fit_algorithm": "ridge",
                          "fit_algorithm_params": None,
                      },
                      feature_sets_enabled="auto",
                      max_daily_seas_interaction_order=5,
                      max_weekly_seas_interaction_order=2,
                      extra_pred_cols=[],
                      min_admissible_value=None,
                      max_admissible_value=None,
                      normalize_method="zero_to_one",
                  ),
              ),
              MultistageForecastModelConfig(
                  train_length="7D",
                  fit_length="7D",
                  agg_func="mean",
                  agg_freq=None,
                  estimator=SimpleSilverkiteEstimator,
                  estimator_params=dict(
                      coverage=None,
                      forecast_horizon=12,
                      freq="H",
                      growth_term=None,
                      daily_seasonality=12,
                      weekly_seasonality=0,
                      quarterly_seasonality=0,
                      monthly_seasonality=0,
                      yearly_seasonality=0,
                      autoreg_dict="auto",
                      holidays_to_model_separately=[],
                      holiday_lookup_countries=[],
                      holiday_pre_num_days=0,
                      holiday_post_num_days=0,
                      holiday_pre_post_num_dict=None,
                      daily_event_df_dict=None,
                      fit_algorithm_dict={
                          "fit_algorithm": "ridge",
                          "fit_algorithm_params": None,
                      },
                      feature_sets_enabled="auto",
                      max_daily_seas_interaction_order=5,
                      max_weekly_seas_interaction_order=2,
                      regressor_cols=None,
                      extra_pred_cols=None,
                      min_admissible_value=None,
                      max_admissible_value=None,
                      normalize_method="zero_to_one",
                  ),
              ),
          ],
      )
      return params
  
imports: import datetime
  import numpy
  import pandas
  import pytest
  from testfixtures import LogCapture
  import greykite.common.constants
  from greykite.common.testing_utils import generate_df_for_tests
  from greykite.sklearn.estimator.lag_based_estimator import LagBasedEstimator
  from greykite.sklearn.estimator.multistage_forecast_estimator import MultistageForecastEstimator
  from greykite.sklearn.estimator.multistage_forecast_estimator import MultistageForecastModelConfig
  from greykite.sklearn.estimator.simple_silverkite_estimator import SimpleSilverkiteEstimator
  from greykite.sklearn.uncertainty.uncertainty_methods import UncertaintyMethodEnum
label_desc: Use image node_id 1 for calling a global function with example usage: params() and returns: params