tf.contrib.distributions.Normal.is_reparameterized

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

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

tf.contrib.distributions.Mixture.std(name='std') Standard deviation.

tf.contrib.distributions.ExponentialWithSoftplusLam.std(name='std') Standard deviation.

tf.contrib.distributions.Uniform.parameters Dictionary of parameters used by this Distribution.

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

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

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

tf.contrib.distributions.WishartCholesky.is_reparameterized