tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.graph

tf.contrib.distributions.Poisson.is_reparameterized

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.batch_shape(name='batch_shape') Shape of a single sample from a single

tf.contrib.distributions.Bernoulli.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.distributions.Gamma.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D Tensor

tf.contrib.distributions.Distribution.pdf(value, name='pdf') Probability density function. Args:

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.loss(final_loss, name='Loss')

tf.contrib.distributions.ExponentialWithSoftplusLam.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of

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

tf.contrib.distributions.WishartCholesky.parameters Dictionary of parameters used by this Distribution.