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

tf.contrib.distributions.WishartFull.df Wishart distribution degree(s) of freedom.

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

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

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

tf.contrib.distributions.normal_congugates_known_sigma_predictive(prior, sigma, s, n) Posterior predictive Normal distribution

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

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

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

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