tf.contrib.learn.monitors.LoggingTrainable.every_n_step_begin(step)

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.monitors.ExportMonitor.run_on_all_workers

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

tf.contrib.learn.monitors.NanLoss.run_on_all_workers

tf.contrib.learn.monitors.ValidationMonitor.every_n_step_begin(step) Callback before every n'th step begins.

class tf.contrib.learn.monitors.ExportMonitor Monitor that exports Estimator every N steps.

tf.contrib.learn.monitors.StepCounter.set_estimator(estimator)

tf.contrib.learn.monitors.StepCounter.step_begin(step) Overrides BaseMonitor.step_begin. When

tf.contrib.learn.monitors.get_default_monitors(loss_op=None, summary_op=None, save_summary_steps=100, output_dir=None, summary_writer=None)