tf.contrib.learn.monitors.LoggingTrainable.end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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tf.contrib.learn.monitors.ExportMonitor.end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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tf.contrib.learn.monitors.StepCounter.begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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tf.contrib.learn.monitors.StopAtStep.
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.StopAtStep.__init__(num_steps=None, last_step=None) Create a StopAtStep monitor. This

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tf.contrib.learn.monitors.BaseMonitor.step_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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tf.contrib.learn.monitors.SummarySaver
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

class tf.contrib.learn.monitors.SummarySaver Saves summaries every N steps.

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tf.contrib.learn.monitors.ValidationMonitor.run_on_all_workers
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.ValidationMonitor.run_on_all_workers

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tf.contrib.learn.monitors.BaseMonitor.end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.BaseMonitor.end(session=None) Callback at the end of training/evaluation. Args:

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tf.contrib.learn.monitors.PrintTensor.every_n_step_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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tf.contrib.learn.monitors.StopAtStep.set_estimator()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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