tf.contrib.distributions.TransformedDistribution.sample(sample_shape=(), seed=None, name='sample') Generate samples of the specified

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

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

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

tf.contrib.distributions.InverseGamma.variance(name='variance') Variance. Additional documentation

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

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

tf.contrib.distributions.Beta.a_b_sum Sum of parameters.

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

tf.contrib.distributions.Normal.is_reparameterized