tf.contrib.distributions.Multinomial.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

tf.contrib.distributions.Distribution.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a

tf.contrib.distributions.Dirichlet.sample_n(n, seed=None, name='sample_n') Generate n samples.

tf.contrib.distributions.TransformedDistribution.get_batch_shape() Shape of a single sample from a single event index as a

tf.contrib.distributions.Uniform.survival_function(value, name='survival_function') Survival function. Given

tf.contrib.distributions.MultivariateNormalFull.log_pmf(value, name='log_pmf') Log probability mass function.

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

tf.contrib.distributions.QuantizedDistribution.is_reparameterized

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.is_continuous

tf.contrib.distributions.WishartCholesky.is_continuous