code: def get_regularization_strength() -> float:
      """Gets the regularization strength.
  
      The regularization strength typically won't affect the result too much,
      if set in a reasonable range (0.4-0.7).
      Here we explicitly set it to 0.6,
      which works well in most cases.
      Setting it to None will trigger cross-validation,
      but has risk to select too many changepoints.
      """
      return 0.6
  
file_path: greykite/greykite/algo/changepoint/adalasso/auto_changepoint_params.py
imports: from datetime import timedelta
  from typing import Optional
  import numpy
  import pandas
  from pandas.tseries.frequencies import to_offset
  from greykite.algo.common.seasonality_inferrer import SeasonalityInferConfig
  from greykite.algo.common.seasonality_inferrer import SeasonalityInferrer
  from greykite.algo.common.seasonality_inferrer import TrendAdjustMethodEnum
  from greykite.common.constants import TIME_COL
  from greykite.common.constants import VALUE_COL
label_desc: Use image node_id 6 for calling a global function with example usage: get_regularization_strength() and returns: int