tf.contrib.distributions.Distribution.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sigma_det(name='sigma_det') Determinant of covariance matrix.

tf.contrib.distributions.ExponentialWithSoftplusLam.beta Inverse scale parameter.

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

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

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

tf.contrib.distributions.WishartFull.mean_log_det(name='mean_log_det') Computes E[log(det(X))] under this Wishart distribution

tf.contrib.distributions.Categorical.logits

tf.contrib.distributions.Chi2WithAbsDf.cdf(value, name='cdf') Cumulative distribution function. Given

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