tf.contrib.distributions.TransformedDistribution.is_reparameterized

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

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

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

tf.contrib.distributions.WishartCholesky.name Name prepended to all ops created by this Distribution.

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

tf.contrib.distributions.LaplaceWithSoftplusScale.dtype The DType of Tensors handled by this Distribution

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

tf.contrib.distributions.InverseGamma.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a

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