class_docstr: Base class for interfacing statsmodels forecasting algorithms.
class_docstr_tok: ["Base","class","for","interfacing","statsmodels","forecasting","algorithms","."]
docstr: Get fitted parameters.
  
  Returns
  -------
  fitted_params : dict
docstr_tok: ["Get","fitted","parameters",".","Returns","--","--","--","-","fitted_params",":","dict"]
code: def _get_fitted_params(self):
      """Get fitted parameters.
  
      Returns
      -------
      fitted_params : dict
      """
      fitted_params = {}
      for name in self._get_fitted_param_names():
          if name in ["aic", "aicc", "bic", "hqic"]:
              fitted_params[name] = getattr(
                  self._fitted_forecaster, name, None
              )
          else:
              fitted_params[name] = self._fitted_forecaster.params.get(
                  name
              )
      return fitted_params
  
file_path: sktime/sktime/forecasting/base/adapters/_statsmodels.py
imports: import inspect
  import numpy
  import pandas
  from sktime.forecasting.base import BaseForecaster
  from sktime.utils.warnings import warn
label_desc: Use image node_id 8 for calling the _StatsModelsAdapter obj's underlying member method code with example usage: obj._get_fitted_params() and returns: fitted_params