code: def __init__(self, clip_values=None, channels_first=True):
      super(ClassifierInstance, self).__init__(
          model=None, clip_values=clip_values
      )
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import unittest
  import numpy
  from art.estimators.classification.classifier import ClassGradientsMixin, ClassifierMixin
  from art.estimators.estimator import BaseEstimator, LossGradientsMixin, NeuralNetworkMixin
  from tests.utils import TestBase, master_seed
label_desc: Use image node_id 1 to create a new ClassifierInstance object from inherited base classes: ClassifierMixin, BaseEstimator with example: obj = ClassifierInstance(clip_values, channels_first)