class_docstr: A mixin class that gives classifiers the ability to abstain
docstr: Abstain from a prediction
  :return: A numpy array of zeros
docstr_tok: ["Abstain","from","a","prediction",":","return",":","A","numpy","array","of","zeros"]
code: def abstain(self) -> np.ndarray:
      """
      Abstain from a prediction
      :return: A numpy array of zeros
      """
      return np.zeros(self.nb_classes)
  
file_path: adversarial-robustness-toolbox/art/estimators/certification/abstain.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import numpy
  from art.estimators.classification.classifier import ClassifierMixin
label_desc: Use image node_id 2 for calling the AbstainPredictorMixin obj's underlying member method code with example usage: obj.abstain() and returns: np