class_docstr: Base class for interfacing tbats forecasting algorithms.
class_docstr_tok: ["Base","class","for","interfacing","tbats","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():
          fitted_params[name] = getattr(self._forecaster, name, None)
      return fitted_params
  
file_path: sktime/sktime/forecasting/base/adapters/_tbats.py
imports: import numpy
  import pandas
  from sktime.forecasting.base import BaseForecaster
  from sktime.utils.validation import check_n_jobs
  from sktime.utils.validation.forecasting import check_sp
label_desc: Use image node_id 11 for calling the _TbatsAdapter obj's underlying member method code with example usage: obj._get_fitted_params() and returns: fitted_params