class_docstr: Uses L-BFGS-B to minimize the cross-entropy and the distance between the
  original and the adversary.
  
  Paper link: https://arxiv.org/abs/1510.05328
class_docstr_tok: ["Uses","L-BFGS-B","to","minimize","the","cross-entropy","and","the","distance","between","the","original","and","the","adversary",".","Paper","link",":","https",":","\/\/arxiv.org\/abs\/1510.05328"]
code: def __init__(self, model):
      super(LBFGSAttack, self).__init__(model)
      self._predicts_normalized = None
      self._adversary = None
  
file_path: AdvBox/adversarialbox/attacks/lbfgs.py
imports: from __future__ import division
  from builtins import range
  import logging
  import numpy
  from scipy.optimize import fmin_l_bfgs_b
  from .base import Attack
label_desc: Use image node_id 1 to create a new LBFGSAttack object from inherited base classes: Attack with example: obj = LBFGSAttack(model)