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

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

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

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

tf.contrib.distributions.Uniform.mean(name='mean') Mean.

tf.contrib.distributions.BernoulliWithSigmoidP.entropy(name='entropy') Shanon entropy in nats.

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

tf.contrib.distributions.Poisson.param_shapes(cls, sample_shape, name='DistributionParamShapes') Shapes of parameters given the

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.sigma Scaling factors of these Student's t distribution(s).

tf.contrib.distributions.WishartCholesky.name Name prepended to all ops created by this Distribution.