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

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

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

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

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

tf.contrib.distributions.MultivariateNormalCholesky.sigma_det(name='sigma_det') Determinant of covariance matrix.

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sigma_det(name='sigma_det') Determinant of covariance matrix.

tf.contrib.distributions.WishartCholesky.std(name='std') Standard deviation.

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

tf.contrib.distributions.GammaWithSoftplusAlphaBeta.is_continuous