com.intel.analytics.bigdl.optim.SGD

Step

case class Step(stepSize: Int, gamma: Double) extends LearningRateSchedule with Product with Serializable

A learning rate decay policy, where the effective learning rate is calculated as base_lr * gamma ^ (floor(iter / stepSize))

stepSize

the inteval for lr decay

gamma

coefficient of decay, refer to calculation formula

Linear Supertypes
Serializable, Serializable, Product, Equals, LearningRateSchedule, AnyRef, Any
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  6. LearningRateSchedule
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Instance Constructors

  1. new Step(stepSize: Int, gamma: Double)

    stepSize

    the inteval for lr decay

    gamma

    coefficient of decay, refer to calculation formula

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

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

  8. var currentRate: Double

    Definition Classes
    LearningRateSchedule

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

    Definition Classes
    AnyRef

  10. def finalize(): Unit

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

  11. val gamma: Double

    coefficient of decay, refer to calculation formula

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

    Definition Classes
    AnyRef → Any

  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  15. final def notify(): Unit

    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  17. val stepSize: Int

    the inteval for lr decay

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

    Definition Classes
    AnyRef

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

    update learning rate by config table and state table

    update learning rate by config table and state table

    optimMethod

    init optiMethod.

    Definition Classes
    Step → LearningRateSchedule

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

    Definition Classes
    Step → LearningRateSchedule

  21. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    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

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