tf.contrib.metrics.streaming_recall(*args, **kwargs) Computes the recall of the predictions with respect to the labels. (deprecated

tf.contrib.distributions.Bernoulli.log_cdf(value, name='log_cdf') Log cumulative distribution function. Given

tf.contrib.bayesflow.stochastic_tensor.InverseGammaTensor.name

tf.contrib.distributions.Bernoulli.batch_shape(name='batch_shape') Shape of a single sample from a single event index as a 1-D

tf.contrib.learn.monitors.CheckpointSaver.begin(max_steps=None)

tf.contrib.bayesflow.stochastic_tensor.BetaWithSoftplusABTensor.graph

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

tf.contrib.learn.monitors.SummarySaver.run_on_all_workers

tf.contrib.metrics.streaming_precision(*args, **kwargs) Computes the precision of the predictions with respect to the labels.

tf.contrib.layers.apply_regularization(regularizer, weights_list=None) Returns the summed penalty by applying regularizer