Class

com.intel.analytics.bigdl.optim.SGD

Step

Related Doc: package SGD

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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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Inherited
  1. Step
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. LearningRateSchedule
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

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

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    stepSize

    the inteval for lr decay

    gamma

    coefficient of decay, refer to calculation formula

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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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

  6. var currentRate: Double

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    Definition Classes
    LearningRateSchedule

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

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    Definition Classes
    AnyRef

  8. def finalize(): Unit

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

  9. val gamma: Double

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    coefficient of decay, refer to calculation formula

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

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    Definition Classes
    AnyRef → Any

  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    AnyRef

  13. final def notify(): Unit

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    Definition Classes
    AnyRef

  14. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  15. val stepSize: Int

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    the inteval for lr decay

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

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    Definition Classes
    AnyRef

  17. 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
    Step → LearningRateSchedule

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

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    Definition Classes
    Step → LearningRateSchedule

  19. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  21. 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

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