tf.contrib.distributions.Chi2.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

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

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

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

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

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

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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.__init__(mu, diag_stdev, validate_args=False, allow_nan_stats=True, name='MultivariateNormalD

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

tf.contrib.distributions.ExponentialWithSoftplusLam.is_reparameterized