code: def ShiftAdaMax_with_Scale(LR=1):
      return ShiftAdaMax(
          learning_rate=LR_start * LR,
          schedule=ShiftSchedule(2, shift_size=1),
      )
  
file_path: neon/examples/binary/train.py
imports: from neon.callbacks.callbacks import Callbacks
  from neon.data import MNIST
  from neon.initializers import Uniform
  from neon.layers import BinaryAffine, GeneralizedCost
  from neon.models import Model
  from neon.optimizers import MultiOptimizer, ShiftAdaMax, ShiftSchedule
  from neon.transforms import Identity, Misclassification, Sign, SquareHingeLoss
  from neon.util.argparser import NeonArgparser
label_desc: Use image node_id 1 for calling a global function with example usage: ShiftAdaMax_with_Scale(LR) and returns: ShiftAdaMax