class_docstr: OneHot will convert `index` into a onehot vector.
code: def __init__(self, dataloader, index, nclasses, *args, **kwargs):
      super(OneHot, self).__init__(dataloader, index, *args, **kwargs)
      self.output = self.be.iobuf(nclasses, parallelism="Data")
  
imports: from __future__ import division
  import numpy
  from neon import NervanaObject
label_desc: Use image node_id 1 to create a new OneHot object from inherited base classes: DataLoaderTransformer with example: obj = OneHot(dataloader, index, nclasses)