tf.contrib.bayesflow.stochastic_tensor.BetaTensor.value_type

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

tf.contrib.bayesflow.stochastic_tensor.SampleValue.pushed_above(unused_value_type)

tf.contrib.bayesflow.stochastic_tensor.MeanValue.declare_inputs(unused_stochastic_tensor, unused_inputs_dict)

tf.contrib.bayesflow.stochastic_tensor.SampleValue.n

class tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor A StochasticTensor with an observed value.

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

class tf.contrib.bayesflow.stochastic_tensor.NormalTensor NormalTensor is a StochasticTensor backed

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.distribution

class tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagWithSoftplusStDevTensor MultivariateNormalDiagWithSo