tf.contrib.distributions.WishartFull.mean_log_det(name='mean_log_det') Computes E[log(det(X))] under this Wishart distribution

tf.contrib.distributions.WishartCholesky.scale() Wishart distribution scale matrix.

tf.contrib.distributions.Distribution.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.distributions.Chi2WithAbsDf.prob(value, name='prob') Probability density/mass function (depending on is_continuous)

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

tf.contrib.distributions.Uniform.dtype The DType of Tensors handled by this Distribution

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

tf.contrib.distributions.Normal.is_continuous

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

tf.contrib.distributions.WishartFull.pmf(value, name='pmf') Probability mass function. Args: