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

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

tf.contrib.distributions.BetaWithSoftplusAB.b Shape parameter.

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

tf.contrib.distributions.Categorical.log_pmf(value, name='log_pmf') Log probability mass function. Args:

tf.contrib.distributions.Categorical.sample_n(n, seed=None, name='sample_n') Generate n samples.

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

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

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

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