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

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

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

tf.contrib.distributions.BaseDistribution.sample_n(n, seed=None, name='sample') Generate n samples.

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

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

tf.contrib.distributions.TransformedDistribution.is_continuous

tf.contrib.distributions.Mixture.variance(name='variance') Variance.

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

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