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

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

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

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

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

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

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

tf.contrib.distributions.DirichletMultinomial.is_reparameterized

tf.contrib.distributions.Chi2WithAbsDf.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.contrib.distributions.DirichletMultinomial.event_shape(name='event_shape') Shape of a single sample from a single batch as