tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.allow_nan_stats Python boolean describing behavior when a stat

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

tf.contrib.distributions.LaplaceWithSoftplusScale.sample_n(n, seed=None, name='sample_n') Generate n samples.

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.sample(sample_shape=(), seed=None, name='sample') Generate samples

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

tf.contrib.distributions.NormalWithSoftplusSigma.is_continuous

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

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

tf.contrib.distributions.MultivariateNormalFull.mode(name='mode') Mode.