tf.contrib.distributions.MultivariateNormalCholesky.log_sigma_det(name='log_sigma_det') Log of determinant of covariance matrix

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

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

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

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

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

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

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

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

class tf.contrib.distributions.TransformedDistribution A Transformed Distribution. A Transformed