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

tf.contrib.learn.monitors.StepCounter.step_end(step, output) Overrides BaseMonitor.step_end. When

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.entropy(name='entropy')

tf.contrib.bayesflow.stochastic_tensor.NormalTensor.value_type

tf.contrib.distributions.Distribution.variance(name='variance') Variance.

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

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

tf.contrib.bayesflow.stochastic_tensor.WishartCholeskyTensor.distribution

tf.contrib.distributions.MultivariateNormalFull.is_reparameterized

tf.contrib.distributions.Gamma.name Name prepended to all ops created by this Distribution.