class_docstr: The logit-normal distribution.
class_docstr_tok: ["The","logit-normal","distribution","."]
docstr: Number of `Normal(0, 1).cdf` terms using in `mean_*_approx` functions.
docstr_tok: ["Number","of","`","Normal","(","0",",","1",")",".cdf","`","terms","using","in","`","mean_","*","_approx","`","functions","."]
code: def num_probit_terms_approx(self):
      """Number of `Normal(0, 1).cdf` terms using in `mean_*_approx` functions."""
      return self._num_probit_terms_approx
  
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 5 for calling the LogitNormal obj's underlying member method code with example usage: obj.num_probit_terms_approx() and returns: self