class_docstr: StatsForecast Back Adapter.
  
  StatsForecastBackAdapter is a wrapper for sktime forecasters to be used in
  StatsForecast composite models.
  
  Parameters
  ----------
  estimator : sktime forecaster
  
  Examples
  --------
  >>> from sktime.datasets import load_airline
  >>> from sktime.forecasting.statsforecast import StatsForecastMSTL
  >>> from sktime.forecasting.ets import AutoETS
  
  >>> y = load_airline()
  >>> trend_forecaster = AutoETS() # doctest: +SKIP
  >>> model = StatsForecastMSTL( # doctest: +SKIP
          season_length=[3,12],
          trend_forecaster=trend_forecaster
      )
  >>> fitted_model = model.fit(y=y) # doctest: +SKIP
  >>> y_pred = fitted_model.predict(fh=[1,2,3]) # doctest: +SKIP
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docstr: Make new instance of back-adapter.
docstr_tok: ["Make","new","instance","of","back-adapter","."]
code: def new(self):
      """Make new instance of back-adapter."""
      _self = type(self).__new__(type(self))
      _self.__dict__.update(self.__dict__)
      return _self
  
imports: from inspect import signature
  from typing import Dict
  from warnings import warn
  import pandas
  from sktime.forecasting.base import BaseForecaster
label_desc: Use image node_id 3 for calling the StatsForecastBackAdapter obj's underlying member method code with example usage: obj.new() and returns: _self