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

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

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.variance(name='variance') Variance.

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

tf.contrib.distributions.MultivariateNormalCholesky.allow_nan_stats Python boolean describing behavior when a stat is undefined

tf.contrib.distributions.Dirichlet.allow_nan_stats Python boolean describing behavior when a stat is undefined.

class tf.contrib.distributions.WishartCholesky The matrix Wishart distribution on positive definite matrices.

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

tf.contrib.distributions.Chi2.parameters Dictionary of parameters used by this Distribution.