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

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

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tf.contrib.learn.monitors.PrintTensor.every_n_step_begin()

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

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

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

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tf.contrib.learn.monitors.ValidationMonitor.step_begin()

tf.contrib.learn.monitors.ValidationMonitor.step_begin(step) Overrides BaseMonitor.step_begin. When

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tf.contrib.learn.monitors.GraphDump.post_step()

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

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tf.contrib.learn.monitors.BaseMonitor.post_step()

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

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

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

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tf.contrib.learn.monitors.StopAtStep.set_estimator()

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

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tf.contrib.learn.monitors.ValidationMonitor

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

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tf.contrib.learn.monitors.ValidationMonitor.epoch_begin()

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

2016-10-14 13:06:47