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

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

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

class tf.contrib.learn.monitors.LoggingTrainable Writes trainable variable values into log every N steps. Write

tf.contrib.learn.monitors.CaptureVariable.every_n_step_begin(step)

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

class tf.contrib.learn.monitors.ValidationMonitor Runs evaluation of a given estimator, at most every N steps.

tf.contrib.learn.monitors.CheckpointSaver.epoch_end(epoch) End epoch. Args:

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

class tf.contrib.learn.monitors.BaseMonitor Base class for Monitors. Defines basic interfaces