tf.contrib.distributions.QuantizedDistribution.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.Binomial.pmf(value, name='pmf') Probability mass function. Args:

class tf.contrib.distributions.Binomial Binomial distribution. This distribution is parameterized

tf.contrib.distributions.Dirichlet.log_pdf(value, name='log_pdf') Log probability density function. Args:

tf.contrib.distributions.NormalWithSoftplusSigma.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.distributions.LaplaceWithSoftplusScale.cdf(value, name='cdf') Cumulative distribution function. Given

tf.contrib.distributions.DirichletMultinomial.log_prob(value, name='log_prob') Log probability density/mass function (depending

tf.contrib.distributions.Distribution.entropy(name='entropy') Shanon entropy in nats.

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_survival_function(value, name='log_survival_function') Log survival

tf.contrib.distributions.WishartCholesky.validate_args Python boolean indicated possibly expensive checks are enabled.