class_docstr: Implementation of the classic statistical model SARIMA (Seasonal
  AutoRegressive Integrated Moving Average) for forecasting.
code: def _default_train_config(self):
      return dict(
          enforce_stationarity=False, enforce_invertibility=False
      )
  
imports: import logging
  import warnings
  from typing import List, Tuple
  import numpy
  import pandas
  import statsmodels.api
  from merlion.models.automl.seasonality import SeasonalityModel
  from merlion.models.forecast.base import ForecasterExogBase, ForecasterExogConfig
  from merlion.transform.resample import TemporalResample
  from merlion.utils.time_series import UnivariateTimeSeries, to_pd_datetime, to_timestamp
label_desc: Use image node_id 3 for calling the Sarima obj's underlying member method code with example usage: obj._default_train_config() and returns: dict