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

tf.contrib.distributions.TransformedDistribution.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters

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

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

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

tf.contrib.distributions.StudentT.allow_nan_stats Python boolean describing behavior when a stat is undefined.

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

tf.contrib.distributions.LaplaceWithSoftplusScale.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)

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

tf.contrib.distributions.NormalWithSoftplusSigma.entropy(name='entropy') Shanon entropy in nats.