class tf.contrib.learn.monitors.CheckpointSaver Saves checkpoints every N steps.

tf.contrib.learn.monitors.RunHookAdapterForMonitors.before_run(run_context)

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

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

tf.contrib.learn.monitors.StopAtStep.begin(max_steps=None) Called at the beginning of training. When

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

tf.contrib.learn.monitors.CheckpointSaver.run_on_all_workers

class tf.contrib.learn.monitors.NanLoss NaN Loss monitor. Monitors loss and stops training if

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

tf.contrib.learn.monitors.RunHookAdapterForMonitors.after_run(run_context, run_values)