class_docstr: Base class for defining estimators in sktime.
  
  Extends sktime's BaseObject to include basic functionality for fittable estimators.
class_docstr_tok: ["Base","class","for","defining","estimators","in","sktime",".","Extends","sktime","'s","BaseObject","to","include","basic","functionality","for","fittable","estimators","."]
code: def __init__(self):
      self._is_fitted = False
      super().__init__()
  
imports: import warnings
  from copy import deepcopy
  from skbase.base import BaseObject
  from sklearn import clone
  from sklearn.base import BaseEstimator
  from sktime.exceptions import NotFittedError
  from sktime.utils.random_state import set_random_state
label_desc: Use image node_id 1 to create a new BaseEstimator object from inherited base classes: BaseObject with example: obj = BaseEstimator()