class_docstr: Class for black-box regressors.
docstr: Save a model to file in the format specific to the backend framework. For Keras, .h5 format is used.
  
  :param filename: Name of the file where to store the model.
  :param path: Path of the folder where to store the model. If no path is specified, the model will be stored in
               the default data location of the library `ART_DATA_PATH`.
  :raises `NotImplementedException`: This method is not supported for black-box classifiers.
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code: def save(self, filename: str, path: Optional[str] = None) -> None:
      """
      Save a model to file in the format specific to the backend framework. For Keras, .h5 format is used.
  
      :param filename: Name of the file where to store the model.
      :param path: Path of the folder where to store the model. If no path is specified, the model will be stored in
                   the default data location of the library `ART_DATA_PATH`.
      :raises `NotImplementedException`: This method is not supported for black-box classifiers.
      """
      raise NotImplementedError
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  from functools import total_ordering
  import logging
  from typing import Callable, List, Optional, Union, Tuple, TYPE_CHECKING
  import numpy
  from art.estimators.estimator import BaseEstimator
  from art.estimators.regression.regressor import RegressorMixin, Regressor
  from art.estimators.classification import BlackBoxClassifier
label_desc: Use image node_id 7 for calling the BlackBoxRegressor obj's underlying member method code with example usage: obj.save(filename, path) without return types