Object/Trait

com.intel.analytics.bigdl.optim

Trigger

Related Docs: trait Trigger | package optim

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object Trigger extends Serializable

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  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. def and(first: Trigger, others: Trigger*): Trigger

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    A trigger contains other triggers and triggers when all of them trigger (logical AND)

    A trigger contains other triggers and triggers when all of them trigger (logical AND)

    first

    first trigger

    others

    others triggers

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def everyEpoch: Trigger

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    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.

  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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  14. def maxEpoch(max: Int): Trigger

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    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

  15. def maxIteration(max: Int): Trigger

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    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

  16. def maxScore(max: Float): Trigger

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    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

  17. def minLoss(min: Float): Trigger

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    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

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def or(first: Trigger, others: Trigger*): Trigger

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    A trigger contains other triggers and triggers when any of them trigger (logical OR)

    A trigger contains other triggers and triggers when any of them trigger (logical OR)

    first

    first trigger

    others

    others triggers

  22. def severalIteration(interval: Int): Trigger

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    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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