class_docstr: Binary shift learning rate schedule.
  
  Arguments:
      interval (int): interval in epochs the learning rate is shifted
      shift_size (int): amount to shift
class_docstr_tok: ["Binary","shift","learning","rate","schedule",".","Arguments",":","interval","(","int",")",":","interval","in","epochs","the","learning","rate","is","shifted","shift_size","(","int",")",":","amount","to","shift"]
code: def __init__(self, interval, shift_size=1):
      self.interval = interval
      self.shift_size = shift_size
  
imports: from __future__ import division
  from neon import NervanaObject
  from neon.util.persist import load_class
  import logging
  import numpy
label_desc: Use image node_id 1 to create a new ShiftSchedule object from inherited base classes: Schedule with example: obj = ShiftSchedule(interval, shift_size)