class_docstr: A BNN with one hidden layer.
class_docstr_tok: ["A","BNN","with","one","hidden","layer","."]
code: def penultimate(self, inputs):
      y = self.input_warping(inputs)
      return self.activation_function(self.dense1(y))
  
imports: from flax import linen
  from flax.linen import initializers
  import jax
  import jax.numpy
  from tensorflow_probability.python.experimental.autobnn import bnn
  from tensorflow_probability.substrates.jax.distributions import lognormal
  from tensorflow_probability.substrates.jax.distributions import normal
  from tensorflow_probability.substrates.jax.distributions import student_t
  from tensorflow_probability.substrates.jax.distributions import uniform
label_desc: Use image node_id 3 for calling the OneLayerBNN obj's underlying member method code with example usage: obj.penultimate(inputs) and returns: self