tf.contrib.distributions.Laplace.allow_nan_stats Python boolean describing behavior when a stat is undefined.

tf.contrib.distributions.LaplaceWithSoftplusScale.event_shape(name='event_shape') Shape of a single sample from a single batch

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

tf.contrib.learn.monitors.RunHookAdapterForMonitors.end(session)

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

class tf.contrib.bayesflow.stochastic_tensor.CategoricalTensor CategoricalTensor is a StochasticTensor

tf.contrib.distributions.Bernoulli.pmf(value, name='pmf') Probability mass function. Args:

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.name

tf.fft3d(input, name=None) Compute the 3-dimensional discrete Fourier Transform over the inner-most 3 dimensions

tf.mod(x, y, name=None) Returns element-wise remainder of division. NOTE: Mod