tf.contrib.graph_editor.SubGraphView.
  • References/Big Data/TensorFlow/TensorFlow Python/Graph Editor

tf.contrib.graph_editor.SubGraphView.__nonzero__() Allows for implicit boolean conversion.

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tf.contrib.learn.DNNRegressor.config
  • References/Big Data/TensorFlow/TensorFlow Python/Learn

tf.contrib.learn.DNNRegressor.config

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tf.contrib.distributions.Chi2.name
  • References/Big Data/TensorFlow/TensorFlow Python/Statistical distributions

tf.contrib.distributions.Chi2.name Name prepended to all ops created by this Distribution.

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tf.assert_non_negative()
  • References/Big Data/TensorFlow/TensorFlow Python/Asserts and boolean checks.

tf.assert_non_negative(x, data=None, summarize=None, message=None, name=None) Assert the condition x >= 0 holds

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

tf.contrib.learn.monitors.StepCounter.set_estimator(estimator)

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

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

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tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.clone()
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.InverseGammaWithSoftplusAlphaBetaTensor.clone(name=None, **dist_args)

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

tf.contrib.learn.monitors.get_default_monitors(loss_op=None, summary_op=None, save_summary_steps=100, output_dir=None, summary_writer=None)

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

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

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tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.distribution
  • References/Big Data/TensorFlow/TensorFlow Python/BayesFlow Stochastic Tensors

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.distribution

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