tf.contrib.distributions.LaplaceWithSoftplusScale.log_pmf(value, name='log_pmf') Log probability mass function.

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.log_pmf(value, name='log_pmf') Log probability mass function.

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

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.distribution

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalFullTensor.clone(name=None, **dist_args)

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

tf.contrib.bayesflow.stochastic_tensor.LaplaceWithSoftplusScaleTensor.entropy(name='entropy')

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.dtype

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.variance(name='variance') Variance. Additional

tf.contrib.distributions.TransformedDistribution.mean(name='mean') Mean.