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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

tf.contrib.learn.monitors.SummarySaver.set_estimator(estimator)

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

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

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

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

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