tf.contrib.distributions.ExponentialWithSoftplusLam.is_reparameterized

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.validate_args Python boolean indicated possibly expensive checks are enabled

tf.contrib.distributions.Categorical.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

tf.contrib.distributions.DirichletMultinomial.variance(name='variance') Variance. Additional documentation

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

tf.contrib.distributions.Multinomial.is_continuous

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

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

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