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

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.__init__()

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

class tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue Ask the StochasticTensor for n samples and reshape the result

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.input_dict

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

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagTensor.name

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.name