class_docstr: Transform inputs by Kumaraswamy bijector.
  
  Uses Kumaraswamy bijector to warp features. The purpose of this is to is turn
  a stationary kernel in to a non-stationary one. Note that this kernel requires
  inputs to be in `[0, 1]` (the domain of the bijector).
class_docstr_tok: ["Transform","inputs","by","Kumaraswamy","bijector",".","Uses","Kumaraswamy","bijector","to","warp","features",".","The","purpose","of","this","is","to","is","turn","a","stationary","kernel","in","to","a","non-stationary","one",".","Note","that","this","kernel","requires","inputs","to","be","in","`","[","0",",","1","]","`","(","the","domain","of","the","bijector",")","."]
code: def _parameter_properties(cls, dtype, num_classes=None):
      from tensorflow_probability.python.bijectors import (
          softplus,
      )  # pylint:disable=g-import-not-at-top
  
      return dict(
          kernel=parameter_properties.BatchedComponentProperties(),
          concentration1=parameter_properties.ParameterProperties(
              event_ndims=lambda self: self.kernel.feature_ndims,
              default_constraining_bijector_fn=(
                  lambda: softplus.Softplus(low=dtype_util.eps(dtype))
              ),
          ),
          concentration0=parameter_properties.ParameterProperties(
              event_ndims=lambda self: self.kernel.feature_ndims,
              default_constraining_bijector_fn=(
                  lambda: softplus.Softplus(low=dtype_util.eps(dtype))
              ),
          ),
      )
  
file_path: probability/tensorflow_probability/python/math/psd_kernels/kumaraswamy_transformed.py
imports: import collections
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import assert_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
  from tensorflow_probability.python.math.psd_kernels import feature_transformed
  from tensorflow_probability.python.math.psd_kernels.internal import util
label_desc: Use image node_id 5 for calling the KumaraswamyTransformed obj's underlying member method code with example usage: obj._parameter_properties(cls, dtype, num_classes) and returns: dict