tf.contrib.learn.monitors.BaseMonitor.step_begin(step) Callback before training step begins. You

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

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

tf.contrib.learn.monitors.StopAtStep.end(session=None) Callback at the end of training/evaluation. Args:

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

tf.contrib.learn.monitors.GraphDump.__init__(ignore_ops=None) Initializes GraphDump monitor. Args:

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

tf.contrib.learn.monitors.ValidationMonitor.run_on_all_workers

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

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