class_docstr: The abstract base class `BaseEstimator` defines the basic requirements of an estimator in ART. The BaseEstimator is
  is the highest abstraction of a machine learning model in ART.
class_docstr_tok: ["The","abstract","base","class","`","BaseEstimator","`","defines","the","basic","requirements","of","an","estimator","in","ART",".","The","BaseEstimator","is","is","the","highest","abstraction","of","a","machine","learning","model","in","ART","."]
docstr: Return the model.
  
  :return: The model.
code: def model(self):
      """
      Return the model.
  
      :return: The model.
      """
      return self._model
  
imports: from abc import ABC, abstractmethod
  from typing import Any, Dict, List, Optional, Tuple, Union, TYPE_CHECKING
  import numpy
  from tqdm.auto import trange
  from art.config import ART_NUMPY_DTYPE
label_desc: Use image node_id 12 for calling the BaseEstimator obj's underlying member method code with example usage: obj.model() and returns: self