tf.contrib.distributions.Bernoulli.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32

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

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

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

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

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

class tf.contrib.distributions.WishartCholesky The matrix Wishart distribution on positive definite matrices.

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

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

tf.contrib.distributions.MultivariateNormalDiagPlusVDVT.log_pdf(value, name='log_pdf') Log probability density function.