class_docstr: Estimator for MXNet Gluon models.
class_docstr_tok: ["Estimator","for","MXNet","Gluon","models","."]
docstr: Estimator class for MXNet Gluon models.
docstr_tok: ["Estimator","class","for","MXNet","Gluon","models","."]
code: def __init__(self, **kwargs) -> None:
      """
      Estimator class for MXNet Gluon models.
      """
      super().__init__(**kwargs)
  
file_path: adversarial-robustness-toolbox/art/estimators/mxnet.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import numpy
  from art.estimators.estimator import BaseEstimator, LossGradientsMixin, NeuralNetworkMixin
label_desc: Use image node_id 1 to create a new MXEstimator object from inherited base classes: NeuralNetworkMixin, LossGradientsMixin, BaseEstimator with example: obj = MXEstimator()