a0d0f3381d74e7b1c9dc5533065f63fcb09e1be8,art/attacks/evasion/fast_gradient.py,FastGradientMethod,__init__,#FastGradientMethod#Any#Any#Any#Any#Any#Any#Any#Any#,59

Before Change

        :type minimal: `bool`
        
        super(FastGradientMethod, self).__init__(classifier)
        if not isinstance(classifier, LossGradientsMixin):
            raise ClassifierError(self.__class__, [LossGradientsMixin, BaseEstimator], classifier)

        kwargs = {
            "norm": norm,
            "eps": eps,
            "eps_step": eps_step,

After Change

        
        super(FastGradientMethod, self).__init__(estimator=estimator)

        if not all(t in type(estimator).__mro__ for t in self.estimator_requirements):
            raise ClassifierError(self.__class__, self.estimator_requirements, estimator)

        kwargs = {
            "norm": norm,
            "eps": eps,
            "eps_step": eps_step,

Instances