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

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

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

tf.contrib.distributions.Gamma.alpha Shape parameter.

tf.contrib.distributions.Categorical.mean(name='mean') Mean.

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

tf.contrib.distributions.BetaWithSoftplusAB.b Shape parameter.

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

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

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