tf.reduce_prod(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the product of elements across dimensions

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

tf.contrib.learn.monitors.CheckpointSaver.__init__(checkpoint_dir, save_secs=None, save_steps=None, saver=None, checkpoint_basename='model.ckpt', scaffold=None)

tf.contrib.learn.DNNClassifier.predict(*args, **kwargs) Returns predicted classes for given features. (deprecated arguments)

tf.contrib.distributions.Gamma.beta Inverse scale parameter.

tf.contrib.distributions.Normal.log_pmf(value, name='log_pmf') Log probability mass function. Args:

tf.is_strictly_increasing(x, name=None) Returns True if x is strictly increasing.

tf.contrib.distributions.Distribution.is_reparameterized

tf.contrib.learn.monitors.ExportMonitor.run_on_all_workers

tf.QueueBase.enqueue(vals, name=None) Enqueues one element to this queue. If the queue is full