code: def distributions(self):
      noise_scale = (
          transformed_distribution_lib.TransformedDistribution(
              logistic_lib.Logistic(0.0, self.log_noise_scale),
              softplus_lib.Softplus(low=self.noise_min),
          )
      )
      return {"noise_scale": noise_scale}
  
imports: import dataclasses
  from typing import Any
  import jax
  from tensorflow_probability.substrates.jax.bijectors import softplus
  from tensorflow_probability.substrates.jax.distributions import distribution
  from tensorflow_probability.substrates.jax.distributions import inflated
  from tensorflow_probability.substrates.jax.distributions import logistic
  from tensorflow_probability.substrates.jax.distributions import lognormal
  from tensorflow_probability.substrates.jax.distributions import negative_binomial
  from tensorflow_probability.substrates.jax.distributions import normal
  from tensorflow_probability.substrates.jax.distributions import transformed_distribution
label_desc: Use image node_id 1 for calling the NormalLikelihoodLogisticNoise obj's underlying member method code with example usage: obj.distributions() and returns: dict