tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.entropy(name='entropy')

tf.contrib.distributions.DirichletMultinomial.std(name='std') Standard deviation.

tf.contrib.distributions.QuantizedDistribution.is_reparameterized

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.clone(name=None, **dist_args)

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor.value(name='value')

tf.contrib.bayesflow.stochastic_tensor.BernoulliWithSigmoidPTensor.graph

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

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.graph

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

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