tf.contrib.distributions.Laplace.allow_nan_stats Python boolean describing behavior when a stat is undefined.

tf.contrib.distributions.LaplaceWithSoftplusScale.event_shape(name='event_shape') Shape of a single sample from a single batch

tf.contrib.distributions.ExponentialWithSoftplusLam.variance(name='variance') Variance.

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

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

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

tf.contrib.distributions.Normal.__init__(mu, sigma, validate_args=False, allow_nan_stats=True, name='Normal') Construct Normal

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

tf.contrib.distributions.ExponentialWithSoftplusLam.is_reparameterized

tf.contrib.distributions.MultivariateNormalCholesky.param_static_shapes(cls, sample_shape) param_shapes with static (i.e. TensorShape)