tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.distribution

tf.contrib.distributions.Chi2.survival_function(value, name='survival_function') Survival function. Given

tf.transpose(a, perm=None, name='transpose') Transposes a. Permutes the dimensions according to perm

tf.contrib.distributions.Gamma.beta Inverse scale parameter.

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

tf.contrib.distributions.QuantizedDistribution.prob(value, name='prob') Probability density/mass function (depending on

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.value_type

tf.contrib.distributions.Laplace.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='Laplace') Construct Laplace

tf.contrib.distributions.MultivariateNormalCholesky.is_continuous

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