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

tf.contrib.learn.monitors.GraphDump.compare(other_dump, step, atol=1e-06) Compares two GraphDump monitors and returns

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

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

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

tf.contrib.learn.monitors.CheckpointSaver.step_begin(step)

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

tf.contrib.learn.monitors.ExportMonitor.export_dir

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

tf.contrib.learn.monitors.ExportMonitor.signature_fn

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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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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.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.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.SummarySaver.
  • References/Big Data/TensorFlow/TensorFlow Python/Monitors

tf.contrib.learn.monitors.SummarySaver.__init__(summary_op, save_steps=100, output_dir=None, summary_writer=None, scaffold=None) Initializes

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