tf.contrib.distributions.StudentT.df Degrees of freedom in these Student's t distribution(s).

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

tf.contrib.distributions.DirichletMultinomial.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

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

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

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

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

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

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

tf.contrib.distributions.NormalWithSoftplusSigma.mu Distribution parameter for the mean.