tf.contrib.learn.monitors.NanLoss.every_n_step_end()

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

2016-10-14 13:06:29
tf.contrib.learn.monitors.CaptureVariable.values

tf.contrib.learn.monitors.CaptureVariable.values Returns the values captured so far. Returns:

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

tf.contrib.learn.monitors.CheckpointSaver.step_end(step, output) Callback after training step finished. This

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

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

2016-10-14 13:06:37
tf.contrib.learn.monitors.ExportMonitor.epoch_begin()

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

2016-10-14 13:06:16
tf.contrib.learn.monitors.StopAtStep.post_step()

tf.contrib.learn.monitors.StopAtStep.post_step(step, session) Callback after the step is finished. Called

2016-10-14 13:06:41
tf.contrib.learn.monitors.ValidationMonitor.best_step

tf.contrib.learn.monitors.ValidationMonitor.best_step Returns the step at which the best early stopping metric was found.

2016-10-14 13:06:46
tf.contrib.learn.monitors.LoggingTrainable.step_end()

tf.contrib.learn.monitors.LoggingTrainable.step_end(step, output) Overrides BaseMonitor.step_end.

2016-10-14 13:06:27
tf.contrib.learn.monitors.ValidationMonitor.post_step()

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

2016-10-14 13:06:48
tf.contrib.learn.monitors.GraphDump.compare()

tf.contrib.learn.monitors.GraphDump.compare(other_dump, step, atol=1e-06) Compares two GraphDump monitors and returns

2016-10-14 13:06:21