tf.contrib.distributions.Gamma.beta Inverse scale parameter.

tf.contrib.distributions.TransformedDistribution.mode(name='mode') Mode.

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.UniformTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

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

tf.contrib.bayesflow.stochastic_graph.surrogate_loss(sample_losses, stochastic_tensors=None, name='SurrogateLoss') Surrogate loss

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.name

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

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