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

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

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.NormalWithSoftplusSigmaTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.value_type

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.graph

tf.contrib.bayesflow.stochastic_tensor.BernoulliTensor.mean(name='mean')

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

tf.contrib.bayesflow.stochastic_tensor.GammaWithSoftplusAlphaBetaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.distribution