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

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.distributions.MultivariateNormalDiagWithSoftplusStDev.is_reparameterized

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

tf.contrib.distributions.Distribution.pdf(value, name='pdf') Probability density function. Args:

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

tf.contrib.distributions.MultivariateNormalCholesky.log_pdf(value, name='log_pdf') Log probability density function.

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

tf.contrib.distributions.Normal.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor