tf.contrib.learn.monitors.CheckpointSaver.__init__()

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

Initialize CheckpointSaver monitor.

Args:

• checkpoint_dir: str, base directory for the checkpoint files.
• save_secs: int, save every N secs.
• save_steps: int, save every N steps.
• saver: Saver object, used for saving.
• checkpoint_basename: str, base name for the checkpoint files.
• scaffold: Scaffold, use to get saver object.

Raises:

• ValueError: If both save_steps and save_secs are not None.
• ValueError: If both save_steps and save_secs are None.