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

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

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tf.contrib.learn.monitors.ValidationMonitor.step_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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

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

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tf.contrib.learn.monitors.ValidationMonitor.epoch_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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

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

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

tf.contrib.learn.monitors.GraphDump.step_end(step, output)

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

class tf.contrib.learn.monitors.StepCounter Steps per second monitor.

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

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

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

tf.contrib.learn.monitors.StopAtStep.step_end(step, output)

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