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

tf.contrib.distributions.Chi2.sample_n(n, seed=None, name='sample_n') Generate n samples.

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

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

tf.contrib.distributions.MultivariateNormalCholesky.validate_args Python boolean indicated possibly expensive checks are enabled

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.pmf(value, name='pmf') Probability mass function.

tf.contrib.distributions.LaplaceWithSoftplusScale.scale Distribution parameter for scale.

tf.contrib.distributions.Chi2WithAbsDf.parameters Dictionary of parameters used by this Distribution.

tf.contrib.distributions.Mixture.validate_args Python boolean indicated possibly expensive checks are enabled.

tf.contrib.distributions.NormalWithSoftplusSigma.variance(name='variance') Variance.