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

tf.contrib.learn.monitors.RunHookAdapterForMonitors.__init__(monitors)

tf.contrib.learn.monitors.ValidationMonitor.__init__(x=None, y=None, input_fn=None, batch_size=None, eval_steps=None, every_n_steps=100, metrics=None, early_stopping_rounds=None

tf.contrib.learn.monitors.NanLoss.set_estimator(estimator) A setter called automatically by the target estimator.

tf.contrib.learn.monitors.StepCounter.every_n_post_step(step, session) Callback after a step is finished or end()

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

tf.contrib.learn.monitors.StopAtStep.__init__(num_steps=None, last_step=None) Create a StopAtStep monitor. This

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

tf.contrib.learn.monitors.EveryN.set_estimator(estimator) A setter called automatically by the target estimator.

tf.contrib.learn.monitors.SummaryWriterCache.clear() Clear cached summary writers. Currently only used for unit tests.