tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.input_dict

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

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.MultinomialTensor.value_type

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

tf.contrib.distributions.ExponentialWithSoftplusLam.is_continuous

tf.contrib.distributions.Gamma.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.Binomial.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.contrib.distributions.Chi2WithAbsDf.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

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