class_docstr: Logistic distribution with additive i.i.d. uniform noise.
class_docstr_tok: ["Logistic","distribution","with","additive","i.i.d",".","uniform","noise","."]
docstr: Initializer, taking the same arguments as `tfpd.Logistic`.
docstr_tok: ["Initializer",",","taking","the","same","arguments","as","`","tfpd.Logistic","`","."]
code: def __init__(self, name="NoisyLogistic", **kwargs):
      """Initializer, taking the same arguments as `tfpd.Logistic`."""
      super().__init__(tfp.distributions.Logistic(**kwargs), name=name)
  
imports: import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import helpers
label_desc: Use image node_id 1 to create a new NoisyLogistic object from inherited base classes: UniformNoiseAdapter with example: obj = NoisyLogistic(name)