class_docstr: Encode class prediction labels for SigmoidCrossEntropy Loss.
class_docstr_tok: ["Encode","class","prediction","labels","for","SigmoidCrossEntropy","Loss","."]
code: def __init__(self, **kwargs):
      super(SigmoidClassEncoder, self).__init__(**kwargs)
  
imports: from __future__ import absolute_import
  import numpy
  from mxnet import gluon
  from mxnet import nd
  from .bbox import BBoxCornerToCenter, NumPyBBoxCornerToCenter
label_desc: Use image node_id 1 to create a new SigmoidClassEncoder object from inherited base classes: object with example: obj = SigmoidClassEncoder()