tf.contrib.distributions.Normal.mean(name='mean') Mean.

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

tf.contrib.distributions.MultivariateNormalCholesky.__init__(mu, chol, validate_args=False, allow_nan_stats=True, name='MultivariateNormalCholesky')

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

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

tf.contrib.distributions.Categorical.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

tf.contrib.distributions.ExponentialWithSoftplusLam.log_survival_function(value, name='log_survival_function') Log survival function

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

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

tf.contrib.distributions.Binomial.mean(name='mean') Mean.