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

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

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

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

tf.contrib.distributions.Poisson.log_pmf(value, name='log_pmf') Log probability mass function. Args:

tf.contrib.distributions.WishartCholesky.pdf(value, name='pdf') Probability density function. Args:

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

tf.contrib.distributions.MultivariateNormalFull.log_survival_function(value, name='log_survival_function') Log survival function

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

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