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

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

tf.contrib.distributions.Multinomial.log_prob(value, name='log_prob') Log probability density/mass function (depending on

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.validate_args Python boolean indicated possibly expensive checks

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

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.is_reparameterized

tf.contrib.distributions.ExponentialWithSoftplusLam.is_continuous

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.mode(name='mode') Mode.

tf.contrib.distributions.Exponential.sample_n(n, seed=None, name='sample_n') Generate n samples.

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