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

tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.pmf(value, name='pmf') Probability mass function.

tf.contrib.distributions.Uniform.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

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

tf.contrib.distributions.Uniform.dtype The DType of Tensors handled by this Distribution

tf.contrib.distributions.Beta.log_prob(value, name='log_prob') Log probability density/mass function (depending on is_continuous)

tf.contrib.distributions.ExponentialWithSoftplusLam.pmf(value, name='pmf') Probability mass function.

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

tf.contrib.distributions.Chi2.event_shape(name='event_shape') Shape of a single sample from a single batch as a 1-D int32 Tensor

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