tf.contrib.distributions.Multinomial.logits Log-odds.

tf.contrib.distributions.ExponentialWithSoftplusLam.pdf(value, name='pdf') Probability density function.

tf.contrib.distributions.Bernoulli.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified shape.

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

tf.contrib.bayesflow.stochastic_tensor.SampleAndReshapeValue.n

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

tf.contrib.distributions.Categorical.__init__(logits, dtype=tf.int32, validate_args=False, allow_nan_stats=True, name='Categorical') Initialize

tf.contrib.bayesflow.stochastic_tensor.DirichletTensor.dtype

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.is_reparameterized

class tf.contrib.distributions.RegisterKL Decorator to register a KL divergence implementation function.