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

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

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.name

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

tf.contrib.distributions.Laplace.sample_n(n, seed=None, name='sample_n') Generate n samples.

tf.contrib.distributions.NormalWithSoftplusSigma.is_continuous

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

tf.contrib.distributions.Beta.std(name='std') Standard deviation.

tf.contrib.distributions.Uniform.mode(name='mode') Mode.

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