class_docstr: A likelihood model that only knows how many outputs it has.
class_docstr_tok: ["A","likelihood","model","that","only","knows","how","many","outputs","it","has","."]
code: def num_outputs(self):
      return self.num_outs
  
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 DummyLikelihoodModel obj's underlying member method code with example usage: obj.num_outputs() and returns: self