tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor.value_type

tf.contrib.distributions.Chi2.is_continuous

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.input_dict

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

tf.contrib.distributions.Chi2WithAbsDf.pmf(value, name='pmf') Probability mass function. Args:

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

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.input_dict

tf.contrib.distributions.Chi2WithAbsDf.entropy(name='entropy') Shanon entropy in nats. Additional

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.graph

tf.contrib.distributions.Gamma.variance(name='variance') Variance.