'Create a BasicIterativeMethod instance.'

def __init__(self, model, back='tf', sess=None):

    super(BasicIterativeMethod, self).__init__(model, back, sess)
    self.feedable_kwargs = {'eps': np.float32, 'eps_iter': np.float32, 'y': np.float32, 'y_target': np.float32, 'clip_min': np.float32, 'clip_max': np.float32}
    self.structural_kwargs = ['ord', 'nb_iter']
    if (not isinstance(self.model, Model)):
        self.model = CallableModelWrapper(self.model, 'probs')
