class_docstr: Dummy parameter estimator that writes fixed values to self.
  
  This can be used as a dummy/mock, or as a pipeline element, e.g.,
  to set parameters to certain values, or in model selection as the "fixed" option.
  
  Takes a dictionary `param_dict` of name/value pairs to write to self in `fit`.
  In `fit`, for each key-value pair in `param_dict`,
  writes `value` to attribute `str(key) + "_"` in `self`
  
  Parameters
  ----------
  param_dict : dict
      fixed parameter values written to `self`
docstr: Fit estimator and estimate parameters.
  
  private _fit containing the core logic, called from fit
  
  Writes to self:
      Sets fitted model attributes ending in "_".
  
  Parameters
  ----------
  X : guaranteed to be of a type in self.get_tag("X_inner_mtype")
      Time series to which to fit the estimator.
  
  Returns
  -------
  self : reference to self
docstr_tok: ["Fit","estimator","and","estimate","parameters",".","private","_fit","containing","the","core","logic",",","called","from","fit","Writes","to","self",":","Sets","fitted","model","attributes","ending","in","``","_","''",".","Parameters","--","--","--","--","--","X",":","guaranteed","to","be","of","a","type","in","self.get_tag","(","``","X_inner_mtype","''",")","Time","series","to","which","to","fit","the","estimator",".","Returns","--","--","--","-","self",":","reference","to","self"]
code: def _fit(self, X):
      """Fit estimator and estimate parameters.
  
      private _fit containing the core logic, called from fit
  
      Writes to self:
          Sets fitted model attributes ending in "_".
  
      Parameters
      ----------
      X : guaranteed to be of a type in self.get_tag("X_inner_mtype")
          Time series to which to fit the estimator.
  
      Returns
      -------
      self : reference to self
      """
      param_dict = self.param_dict
  
      if isinstance(param_dict, dict):
          for key, value in param_dict.items():
              setattr(self, f"{str(key)}_", value)
  
      return self
  
imports: from sktime.datatypes import ALL_TIME_SERIES_MTYPES
  from sktime.param_est.base import BaseParamFitter
label_desc: Use image node_id 2 for calling the FixedParams obj's underlying member method code with example usage: obj._fit(X) and returns: self