Class

com.intel.analytics.bigdl.optim.SGD

SequentialSchedule

Related Doc: package SGD

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case class SequentialSchedule(iterationPerEpoch: Int) extends LearningRateSchedule with Product with Serializable

Stack several learning rate schedulers.

iterationPerEpoch

iteration numbers per epoch

Linear Supertypes
Serializable, Serializable, Product, Equals, LearningRateSchedule, AnyRef, Any
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Inherited
  1. SequentialSchedule
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. LearningRateSchedule
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new SequentialSchedule(iterationPerEpoch: Int)

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    iterationPerEpoch

    iteration numbers per epoch

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def add(schedule: LearningRateSchedule, maxIteration: Int): SequentialSchedule.this.type

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    Add a learning rate scheduler to the contained schedules

    Add a learning rate scheduler to the contained schedules

    schedule

    learning rate scheduler to be add

    maxIteration

    iteration numbers this scheduler will run

    returns

    this container

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. var cur: Int

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  8. var currentRate: Double

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    Definition Classes
    LearningRateSchedule

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

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    Definition Classes
    AnyRef

  10. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  13. val iterationPerEpoch: Int

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    iteration numbers per epoch

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

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  17. val schedules: ArrayBuffer[LearningRateSchedule]

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

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    Definition Classes
    AnyRef

  19. def updateHyperParameter[T](optimMethod: SGD[T]): Unit

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    update learning rate by config table and state table

    update learning rate by config table and state table

    optimMethod

    init optiMethod.

    Definition Classes
    SequentialSchedule → LearningRateSchedule

  20. def updateHyperParameter(config: Table, state: Table): Unit

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    Definition Classes
    SequentialSchedule → LearningRateSchedule

  21. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from LearningRateSchedule

Inherited from AnyRef

Inherited from Any

Ungrouped