tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.graph

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

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.DirichletMultinomialTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.dtype

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

tf.contrib.bayesflow.stochastic_tensor.BetaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.distribution

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