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`
code: def __init__(self, param_dict):
      self.param_dict = param_dict
      super().__init__()
  
imports: from sktime.datatypes import ALL_TIME_SERIES_MTYPES
  from sktime.param_est.base import BaseParamFitter
label_desc: Use image node_id 1 to create a new FixedParams object from inherited base classes: BaseParamFitter with example: obj = FixedParams(param_dict)