class_docstr: Base adapter class for StatsForecast models.
class_docstr_tok: ["Base","adapter","class","for","StatsForecast","models","."]
docstr: Get default parameters for the statsforecast forecaster.
  
  This will in general be different from self.get_param_defaults(),
  as the set or names of inner parameters can differ.
  
  For parameters without defaults, will use the parameter
  of self instead.
docstr_tok: ["Get","default","parameters","for","the","statsforecast","forecaster",".","This","will","in","general","be","different","from","self.get_param_defaults","(",")",",","as","the","set","or","names","of","inner","parameters","can","differ",".","For","parameters","without","defaults",",","will","use","the","parameter","of","self","instead","."]
code: def _get_statsforecast_default_params(self) -> dict:
      """Get default parameters for the statsforecast forecaster.
  
      This will in general be different from self.get_param_defaults(),
      as the set or names of inner parameters can differ.
  
      For parameters without defaults, will use the parameter
      of self instead.
      """
      self_params = self.get_params(deep=False)
      self_default_params = self.get_param_defaults()
      self_params.update(self_default_params)
      cls_with_defaults = type(self)(**self_params)
      return cls_with_defaults._get_statsforecast_params()
  
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 5 for calling the _GeneralisedStatsForecastAdapter obj's underlying member method code with example usage: obj._get_statsforecast_default_params() and returns: cls_with_defaults