tf.contrib.learn.monitors.CaptureVariable.every_n_step_end(step, outputs)

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

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.

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

tf.contrib.learn.monitors.LoggingTrainable.every_n_step_end(step, outputs)

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

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

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

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