Class

org.deeplearning4j.spark.parameterserver

ParameterServerTrainingHook

Related Doc: package parameterserver

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class ParameterServerTrainingHook extends TrainingHook

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TrainingHook, Serializable, AnyRef, Any
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  1. ParameterServerTrainingHook
  2. TrainingHook
  3. Serializable
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Instance Constructors

  1. new ParameterServerTrainingHook()

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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

  9. final def getClass(): Class[_]

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. final def ne(arg0: AnyRef): Boolean

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def postUpdate(minibatch: MultiDataSet, model: Model): Unit

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    Definition Classes
    ParameterServerTrainingHook → TrainingHook

  16. def postUpdate(minibatch: DataSet, model: Model): Unit

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    Definition Classes
    ParameterServerTrainingHook → TrainingHook

  17. def preUpdate(minibatch: MultiDataSet, model: Model): Unit

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    Definition Classes
    ParameterServerTrainingHook → TrainingHook

  18. def preUpdate(minibatch: DataSet, model: Model): Unit

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    Definition Classes
    ParameterServerTrainingHook → TrainingHook

  19. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. def toString(): String

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  21. final def wait(): Unit

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  22. final def wait(arg0: Long, arg1: Int): Unit

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  23. final def wait(arg0: Long): Unit

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Inherited from TrainingHook

Inherited from Serializable

Inherited from AnyRef

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