class_docstr: Implements a location-scale heavy-tail Lambert W x Normal distribution.
class_docstr_tok: ["Implements","a","location-scale","heavy-tail","Lambert","W","x","Normal","distribution","."]
code: def _default_event_space_bijector(self):
      # TODO(b/145620027) Finalize choice of bijector.
      return identity_bijector.Identity(
          validate_args=self.validate_args
      )
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import lambertw_transform
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import distribution_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import tensor_util
label_desc: Use image node_id 8 for calling the LambertWNormal obj's underlying member method code with example usage: obj._default_event_space_bijector() and returns: identity_bijector