tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.get_event_shape() Shape of a single sample from a single batch as a

class tf.contrib.distributions.Normal The scalar Normal distribution with mean and stddev parameters mu, sigma.

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.mu

tf.contrib.distributions.LaplaceWithSoftplusScale.std(name='std') Standard deviation.

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.pdf(value, name='pdf') Probability density function.

class tf.contrib.distributions.MultivariateNormalCholesky The multivariate normal distribution on R^k.

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

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

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