tf.contrib.distributions.MultivariateNormalDiag.mode(name='mode') Mode.

tf.contrib.framework.get_or_create_global_step(graph=None) Returns and create (if necessary) the global step variable.

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.name

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.__init__(name=None, dist_value_type=None, loss_fn=score_function, **dist_args)

tf.contrib.distributions.QuantizedDistribution.mode(name='mode') Mode.

tf.contrib.bayesflow.stochastic_tensor.ExponentialWithSoftplusLamTensor.distribution

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

tf.contrib.distributions.Gamma.survival_function(value, name='survival_function') Survival function. Given

tf.contrib.distributions.Distribution.mode(name='mode') Mode.

tf.contrib.learn.monitors.StopAtStep.epoch_end(epoch) End epoch. Args: