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

tf.contrib.distributions.Chi2.mode(name='mode') Mode. Additional documentation from Gamma:

tf.contrib.distributions.Mixture.is_continuous

class tf.contrib.distributions.MultivariateNormalCholesky The multivariate normal distribution on R^k.

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

tf.contrib.distributions.WishartFull.dimension Dimension of underlying vector space. The p in R^(p*p)

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

tf.contrib.distributions.MultivariateNormalCholesky.batch_shape(name='batch_shape') Shape of a single sample from a single event

tf.contrib.distributions.Mixture.is_reparameterized

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