class_docstr: Base parameter fitting estimator class.
  
  The base parameter fitter specifies the methods and method signatures that all
  parameter fitter have to implement.
  
  Specific implementations of these methods is deferred to concrete instances.
code: def __init__(self):
      self._is_fitted = False
  
      self._X = None
  
      super().__init__()
      _check_estimator_deps(self)
  
file_path: sktime/sktime/param_est/base.py
imports: from sktime.base import BaseEstimator
  from sktime.datatypes import VectorizedDF, check_is_scitype, convert, scitype_to_mtype, update_data
  from sktime.utils.sklearn import is_sklearn_transformer
  from sktime.utils.validation._dependencies import _check_estimator_deps
  from sktime.utils.warnings import warn
label_desc: Use image node_id 1 to create a new BaseParamFitter object from inherited base classes: BaseEstimator with example: obj = BaseParamFitter()