class_docstr: The logit-normal distribution.
class_docstr_tok: ["The","logit-normal","distribution","."]
docstr: Distribution parameter for the pre-transformed mean.
docstr_tok: ["Distribution","parameter","for","the","pre-transformed","mean","."]
code: def loc(self):
      """Distribution parameter for the pre-transformed mean."""
      return self.distribution.loc
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import sigmoid
  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.math import special
label_desc: Use image node_id 3 for calling the LogitNormal obj's underlying member method code with example usage: obj.loc() and returns: self