com.intel.analytics.bigdl.optim

Trigger

object Trigger extends Serializable

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

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  3. final def ##(): Int

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

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  9. def equals(arg0: Any): Boolean

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  10. def everyEpoch: Trigger

    A trigger that triggers an action when each epoch finishs.

    A trigger that triggers an action when each epoch finishs. Could be used as trigger in setValidation and setCheckpoint in Optimizer, and also in TrainSummary.setSummaryTrigger.

  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. def maxEpoch(max: Int): Trigger

    A trigger that triggers an action when training reaches the number of epochs specified by "max".

    A trigger that triggers an action when training reaches the number of epochs specified by "max". Usually used in Optimizer.setEndWhen.

    max

    the epoch when the action takes place

  16. def maxIteration(max: Int): Trigger

    A trigger that triggers an action when training reaches the number of iterations specified by "max".

    A trigger that triggers an action when training reaches the number of iterations specified by "max". Usually used in Optimizer.setEndWhen.

    max

    the iteration when the action takes place

  17. def maxScore(max: Float): Trigger

    A trigger that triggers an action when validation score larger than "max" score

    A trigger that triggers an action when validation score larger than "max" score

    max

    max score

  18. def minLoss(min: Float): Trigger

    A trigger that triggers an action when training loss less than "min" loss

    A trigger that triggers an action when training loss less than "min" loss

    min

    min loss

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

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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  22. def severalIteration(interval: Int): Trigger

    A trigger that triggers an action every "n" iterations.

    A trigger that triggers an action every "n" iterations. Could be used as trigger in setValidation and setCheckpoint in Optimizer, and also in TrainSummary.setSummaryTrigger.

    interval

    - trigger interval "n"

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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