tf.contrib.learn.monitors.RunHookAdapterForMonitors.before_run(run_context)

tf.contrib.learn.monitors.CheckpointSaver.post_step(step, session)

tf.multinomial(logits, num_samples, seed=None, name=None) Draws samples from a multinomial distribution.

tf.contrib.distributions.StudentT.log_survival_function(value, name='log_survival_function') Log survival function.

tf.errors.NotFoundError.__init__(node_def, op, message) Creates a NotFoundError.

tf.summary.tensor_summary(display_name, tensor, description='', labels=None, collections=None, name=None) Outputs a Summary

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

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

tf.contrib.distributions.MultivariateNormalFull.is_reparameterized

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