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  • References
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  • Monitors

tf.contrib.learn.monitors.ValidationMonitor.post_step()

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

Links:
  • https://www.tensorflow.org/versions/master/api_docs/python/contrib.learn.monitors.html#ValidationMonitor.post_step
doc_TensorFlow
doc_TensorFlow
2025-01-10 15:47:30
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tf.contrib.learn.monitors.ValidationMonitor class tf.contrib.learn.monitors.ValidationMonitor Runs evaluation of a given estimator, at most every N steps. Note that the evaluation is done base
tf.contrib.learn.monitors.ValidationMonitor.every_n_post_step() tf.contrib.learn.monitors.ValidationMonitor.every_n_post_step(step, session) Callback after a step is finished or end() is called. Args: step: int,
tf.contrib.learn.monitors.ValidationMonitor.best_step tf.contrib.learn.monitors.ValidationMonitor.best_step Returns the step at which the best early stopping metric was found.
tf.contrib.learn.monitors.ValidationMonitor.step_end() tf.contrib.learn.monitors.ValidationMonitor.step_end(step, output) Overrides BaseMonitor.step_end. When overriding this method, you must call the su
tf.contrib.learn.monitors.ValidationMonitor.step_begin() tf.contrib.learn.monitors.ValidationMonitor.step_begin(step) Overrides BaseMonitor.step_begin. When overriding this method, you must call the super


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