tf.contrib.learn.monitors.ExportMonitor

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

2016-10-14 13:06:15
tf.contrib.learn.monitors.CheckpointSaver.

tf.contrib.learn.monitors.CheckpointSaver.__init__(checkpoint_dir, save_secs=None, save_steps=None, saver=None, checkpoint_basename='model.ckpt', scaffold=None)

2016-10-14 13:06:10
tf.contrib.learn.monitors.BaseMonitor.epoch_begin()

tf.contrib.learn.monitors.BaseMonitor.epoch_begin(epoch) Begin epoch. Args:

2016-10-14 13:05:59
tf.contrib.learn.monitors.LoggingTrainable.every_n_post_step()

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

2016-10-14 13:06:25
tf.contrib.learn.monitors.PrintTensor.run_on_all_workers

tf.contrib.learn.monitors.PrintTensor.run_on_all_workers

2016-10-14 13:06:33
tf.contrib.learn.monitors.RunHookAdapterForMonitors.begin()

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

2016-10-14 13:06:35
tf.contrib.learn.monitors.CheckpointSaver.set_estimator()

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

2016-10-14 13:06:09
tf.contrib.learn.monitors.CheckpointSaver.end()

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

2016-10-14 13:06:07
tf.contrib.learn.monitors.PrintTensor.post_step()

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

2016-10-14 13:06:33
tf.contrib.learn.monitors.NanLoss.run_on_all_workers

tf.contrib.learn.monitors.NanLoss.run_on_all_workers

2016-10-14 13:06:30