tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.sigma Dense (batch) covariance matrix, if available.

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

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

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

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

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

tf.contrib.distributions.QuantizedDistribution.log_cdf(value, name='log_cdf') Log cumulative distribution function.

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

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

tf.contrib.distributions.Chi2WithAbsDf.get_batch_shape() Shape of a single sample from a single event index as a TensorShape