tf.contrib.distributions.Normal.is_continuous

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

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

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

tf.contrib.distributions.Normal.is_reparameterized

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

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

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

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

tf.contrib.distributions.Exponential.is_reparameterized