class_docstr: Strong Convex version of Huber loss using l2 weight regularization.
class_docstr_tok: ["Strong","Convex","version","of","Huber","loss","using","l2","weight","regularization","."]
docstr: See super class.
docstr_tok: ["See","super","class","."]
code: def gamma(self):
      """See super class."""
      return self.reg_lambda
  
imports: import tensorflow.compat.v1
  from tensorflow.compat.v1.python.framework import ops
  from tensorflow.compat.v1.python.keras import losses
  from tensorflow.compat.v1.python.keras.regularizers import L1L2
  from tensorflow.compat.v1.python.keras.utils import losses_utils
  from tensorflow.compat.v1.python.platform import tf_logging
label_desc: Use image node_id 4 for calling the StrongConvexHuber obj's underlying member method code with example usage: obj.gamma() and returns: self