tf.contrib.learn.monitors.ExportMonitor.signature_fn

tf.contrib.learn.monitors.ExportMonitor.signature_fn

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tf.contrib.learn.monitors.PrintTensor.

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.StopAtStep.end()

tf.contrib.learn.monitors.StopAtStep.end(session=None) Callback at the end of training/evaluation. Args:

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tf.contrib.learn.monitors.GraphDump.run_on_all_workers

tf.contrib.learn.monitors.GraphDump.run_on_all_workers

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tf.contrib.learn.monitors.NanLoss.end()

tf.contrib.learn.monitors.NanLoss.end(session=None)

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tf.contrib.learn.monitors.ValidationMonitor.best_value

tf.contrib.learn.monitors.ValidationMonitor.best_value Returns the best early stopping metric value found so far.

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tf.contrib.learn.monitors.CaptureVariable.step_begin()

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

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tf.contrib.learn.monitors.EveryN.

tf.contrib.learn.monitors.EveryN.__init__(every_n_steps=100, first_n_steps=1) Initializes an EveryN monitor.

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tf.contrib.learn.monitors.SummarySaver

class tf.contrib.learn.monitors.SummarySaver Saves summaries every N steps.

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tf.contrib.learn.monitors.BaseMonitor.begin()

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

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