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

tf.contrib.distributions.WishartFull.get_event_shape() Shape of a single sample from a single batch as a TensorShape

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

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

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

tf.contrib.distributions.Exponential.is_continuous

tf.contrib.distributions.Multinomial.log_pmf(value, name='log_pmf') Log probability mass function. Args:

tf.contrib.distributions.Dirichlet.mode(name='mode') Mode. Additional documentation from

tf.contrib.distributions.LaplaceWithSoftplusScale.is_continuous

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