tf.contrib.distributions.DirichletMultinomial.event_shape(name='event_shape') Shape of a single sample from a single batch as

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.mean(name='mean')

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sigma Scaling factors of these Student's t distribution(s).

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.graph

tf.contrib.distributions.MultivariateNormalCholesky.is_continuous

tf.contrib.distributions.Chi2WithAbsDf.entropy(name='entropy') Shanon entropy in nats. Additional

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

tf.contrib.distributions.ExponentialWithSoftplusLam.alpha Shape parameter.

tf.contrib.distributions.TransformedDistribution.is_continuous