tf.contrib.distributions.LaplaceWithSoftplusScale.event_shape(name='event_shape') Shape of a single sample from a single batch

tf.contrib.distributions.Normal.__init__(mu, sigma, validate_args=False, allow_nan_stats=True, name='Normal') Construct Normal

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

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

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

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

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

tf.contrib.distributions.WishartCholesky.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.StudentT.get_event_shape() Shape of a single sample from a single batch as a TensorShape

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