tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.pmf(value, name='pmf') Probability mass function.

tf.contrib.training.NextQueuedSequenceBatch.__init__(state_saver)

tf.contrib.distributions.Chi2WithAbsDf.log_cdf(value, name='log_cdf') Log cumulative distribution function.

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.is_continuous

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

tf.contrib.distributions.DirichletMultinomial.alpha Parameter defining this distribution.

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.input_dict

tf.contrib.distributions.Chi2WithAbsDf.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape) shapes

tf.contrib.distributions.Multinomial.is_reparameterized