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

tf.contrib.learn.monitors.RunHookAdapterForMonitors.end(session)

2016-10-14 13:06:36
tf.contrib.learn.monitors.PrintTensor.epoch_begin()

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

2016-10-14 13:06:32
tf.contrib.learn.monitors.ExportMonitor.every_n_step_begin()

tf.contrib.learn.monitors.ExportMonitor.every_n_step_begin(step) Callback before every n'th step begins.

2016-10-14 13:06:17
tf.contrib.learn.monitors.EveryN.every_n_step_end()

tf.contrib.learn.monitors.EveryN.every_n_step_end(step, outputs) Callback after every n'th step finished. This

2016-10-14 13:06:13
tf.contrib.learn.monitors.ValidationMonitor.early_stopped

tf.contrib.learn.monitors.ValidationMonitor.early_stopped Returns True if this monitor caused an early stop.

2016-10-14 13:06:47
tf.contrib.learn.monitors.CheckpointSaver

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

2016-10-14 13:06:07
tf.contrib.learn.monitors.CheckpointSaver.begin()

tf.contrib.learn.monitors.CheckpointSaver.begin(max_steps=None)

2016-10-14 13:06:07
tf.contrib.learn.monitors.RunHookAdapterForMonitors

class tf.contrib.learn.monitors.RunHookAdapterForMonitors Wraps monitors into a SessionRunHook.

2016-10-14 13:06:35
tf.contrib.learn.monitors.SummarySaver.begin()

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

2016-10-14 13:06:42
tf.contrib.learn.monitors.StepCounter.epoch_begin()

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

2016-10-14 13:06:37