class_docstr: Distribution followed by tanh.
class_docstr_tok: ["Distribution","followed","by","tanh","."]
code: def _parameter_properties(
      cls, dtype: Optional[Any], num_classes=None
  ):
      td_properties = super()._parameter_properties(
          dtype, num_classes=num_classes
      )
      del td_properties["bijector"]
      return td_properties
  
imports: from typing import Any, List, Optional, Sequence, Union, Callable
  import chex
  import haiku
  import jax
  import jax.numpy
  import numpy
  import tensorflow_probability
  import tensorflow_probability.substrates.jax
label_desc: Use image node_id 5 for calling the TanhTransformedDistribution obj's underlying member method code with example usage: obj._parameter_properties(cls, dtype, num_classes) and returns: td_properties