class_docstr: Delegator mixin that delegates all methods to wrapped transformer.
  
  Delegates inner transformer methods to a wrapped estimator.
      Wrapped estimator is value of attribute with name self._delegate_name.
      By default, this is "estimator_", i.e., delegates to self.estimator_
      To override delegation, override _delegate_name attribute in child class.
  
  Delegates the following inner underscore methods:
      _fit, _transform, _inverse_transform, _update
  
  Does NOT delegate get_params, set_params.
      get_params, set_params will hence use one additional nesting level by default.
  
  Does NOT delegate or copy tags, this should be done in a child class if required.
docstr: Get fitted parameters.
  
  private _get_fitted_params, called from get_fitted_params
  
  State required:
      Requires state to be "fitted".
  
  Returns
  -------
  fitted_params : dict with str keys
      fitted parameters, keyed by names of fitted parameter
docstr_tok: ["Get","fitted","parameters",".","private","_get_fitted_params",",","called","from","get_fitted_params","State","required",":","Requires","state","to","be","``","fitted","''",".","Returns","--","--","--","-","fitted_params",":","dict","with","str","keys","fitted","parameters",",","keyed","by","names","of","fitted","parameter"]
code: def _get_fitted_params(self):
      """Get fitted parameters.
  
      private _get_fitted_params, called from get_fitted_params
  
      State required:
          Requires state to be "fitted".
  
      Returns
      -------
      fitted_params : dict with str keys
          fitted parameters, keyed by names of fitted parameter
      """
      estimator = self._get_delegate()
      return estimator.get_fitted_params()
  
file_path: sktime/sktime/transformations/_delegate.py
imports: from sktime.transformations.base import BaseTransformer
label_desc: Use image node_id 6 for calling the _DelegatedTransformer obj's underlying member method code with example usage: obj._get_fitted_params() and returns: estimator