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

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

tf.contrib.distributions.Normal.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

tf.contrib.distributions.Gamma.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

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

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

tf.contrib.distributions.WishartFull.std(name='std') Standard deviation.

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

tf.contrib.distributions.MultivariateNormalFull.std(name='std') Standard deviation.

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