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

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.SummaryWriterCache.clear()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.SummaryWriterCache.clear() Clear cached summary writers. Currently only used for unit tests.

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

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

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

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

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

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

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

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

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

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

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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.LoggingTrainable.epoch_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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

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

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