class_docstr: Class for black-box regressors.
docstr: Fit the classifier on the training set `(x, y)`.
  
  :param x: Training data.
  :param y: Labels.
  :param kwargs: Dictionary of framework-specific arguments. These should be parameters supported by the
         `fit_generator` function in Keras and will be passed to this function as such. Including the number of
         epochs or the number of steps per epoch as part of this argument will result in as error.
  :raises `NotImplementedException`: This method is not supported for black-box classifiers.
docstr_tok: ["Fit","the","classifier","on","the","training","set","`","(","x",",","y",")","`",".",":","param","x",":","Training","data",".",":","param","y",":","Labels",".",":","param","kwargs",":","Dictionary","of","framework-specific","arguments",".","These","should","be","parameters","supported","by","the","`","fit_generator","`","function","in","Keras","and","will","be","passed","to","this","function","as","such",".","Including","the","number","of","epochs","or","the","number","of","steps","per","epoch","as","part","of","this","argument","will","result","in","as","error",".",":","raises","`","NotImplementedException","`",":","This","method","is","not","supported","for","black-box","classifiers","."]
code: def fit(self, x: np.ndarray, y: np.ndarray, **kwargs) -> None:
      """
      Fit the classifier on the training set `(x, y)`.
  
      :param x: Training data.
      :param y: Labels.
      :param kwargs: Dictionary of framework-specific arguments. These should be parameters supported by the
             `fit_generator` function in Keras and will be passed to this function as such. Including the number of
             epochs or the number of steps per epoch as part of this argument will result in as error.
      :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 6 for calling the BlackBoxRegressor obj's underlying member method code with example usage: obj.fit(x, y) without return types