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

tf.contrib.learn.monitors.CaptureVariable.step_end(step, output) Overrides BaseMonitor.step_end.

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

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

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

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

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

tf.contrib.learn.monitors.PrintTensor.__init__(tensor_names, every_n=100, first_n=1) Initializes a PrintTensor monitor.

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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.NanLoss.step_begin()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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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.NanLoss.epoch_end()
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

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

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

tf.contrib.learn.monitors.RunHookAdapterForMonitors.__init__(monitors)

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

class tf.contrib.learn.monitors.StopAtStep Monitor to request stop at a specified step.

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