class_docstr: The log-normal distribution.
class_docstr_tok: ["The","log-normal","distribution","."]
code: def _entropy(self):
      return (
          self.distribution.mean()
          + 0.5
          + tf.math.log(self.distribution.stddev())
          + 0.5 * np.log(2 * np.pi)
      )
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import kullback_leibler
  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 dtype_util
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.util.deferred_tensor import DeferredTensor
label_desc: Use image node_id 10 for calling the LogNormal obj's underlying member method code with example usage: obj._entropy() and returns: unknown