tf.pow(x, y, name=None) Computes the power of one value to another. Given a tensor x

tf.contrib.distributions.StudentT.log_prob(value, name='log_prob') Log probability density/mass function (depending on

tf.WholeFileReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not

tf.contrib.learn.LinearClassifier.get_variable_value(name)

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.name

tf.contrib.learn.monitors.CaptureVariable.end(session=None)

tf.contrib.losses.get_losses(scope=None, loss_collection='losses') Gets the list of losses from the loss_collection.

tf.random_uniform(shape, minval=0, maxval=None, dtype=tf.float32, seed=None, name=None) Outputs random values from a uniform distribution

tf.contrib.distributions.WishartFull.is_reparameterized

tf.contrib.bayesflow.stochastic_tensor.BinomialTensor.value_type