tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.name

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

tf.contrib.bayesflow.stochastic_tensor.BetaTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.dtype

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

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

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

class tf.contrib.bayesflow.stochastic_tensor.SampleValue Draw n samples along a new outer dimension. This

tf.contrib.bayesflow.stochastic_tensor.ExponentialTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.QuantizedDistributionTensor.name