tf.contrib.distributions.LaplaceWithSoftplusScale.loc Distribution parameter for the location.

tf.contrib.distributions.MultivariateNormalFull.batch_shape(name='batch_shape') Shape of a single sample from a single event index

tf.contrib.distributions.Categorical.std(name='std') Standard deviation.

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

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.MultivariateNormalFull.__init__(mu, sigma, validate_args=False, allow_nan_stats=True, name='MultivariateNormalFull')

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

tf.contrib.distributions.TransformedDistribution.log_det_jacobian Function computing the log determinant of the Jacobian of transform

tf.contrib.distributions.StudentT.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

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