tf.contrib.bayesflow.stochastic_tensor.MixtureTensor.graph

tf.contrib.distributions.MultivariateNormalCholesky.is_continuous

tf.contrib.distributions.Chi2WithAbsDf.entropy(name='entropy') Shanon entropy in nats. Additional

tf.contrib.bayesflow.stochastic_tensor.StudentTTensor.loss(final_loss, name='Loss')

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

tf.contrib.distributions.Poisson.get_batch_shape() Shape of a single sample from a single event index as a TensorShape

tf.contrib.distributions.ExponentialWithSoftplusLam.alpha Shape parameter.

class tf.contrib.framework.VariableDeviceChooser Device chooser for variables. When using a parameter

tf.contrib.distributions.TransformedDistribution.is_continuous

tf.contrib.distributions.MultivariateNormalCholesky.log_cdf(value, name='log_cdf') Log cumulative distribution function.