org.apache.mxnet.javaapi

lamb_update_phase1Param

Related Doc: package javaapi

class lamb_update_phase1Param extends AnyRef

This Param Object is specifically used for lamb_update_phase1

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Instance Constructors

  1. new lamb_update_phase1Param(weight: NDArray, grad: NDArray, mean: NDArray, vari: NDArray, t: Integer, wd: Float)

    weight

    Weight

    grad

    Gradient

    mean

    Moving mean

    vari

    Moving variance

    t

    Index update count.

    wd

    Weight decay augments the objective function with a regularization term that penalizes large weights. The penalty scales with the square of the magnitude of each weight.

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  9. def getBeta1(): Float

  10. def getBeta2(): Float

  11. def getBias_correction(): Boolean

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

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  13. def getClip_gradient(): Float

  14. def getEpsilon(): Float

  15. def getGrad(): NDArray

  16. def getMean(): NDArray

  17. def getOut(): mxnet.NDArray

  18. def getRescale_grad(): Float

  19. def getT(): Integer

  20. def getVari(): NDArray

  21. def getWd(): Float

  22. def getWeight(): NDArray

  23. def hashCode(): Int

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  26. final def notify(): Unit

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  27. final def notifyAll(): Unit

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  28. def setBeta1(beta1: Float): lamb_update_phase1Param

    beta1

    The decay rate for the 1st moment estimates.

  29. def setBeta2(beta2: Float): lamb_update_phase1Param

    beta2

    The decay rate for the 2nd moment estimates.

  30. def setBias_correction(bias_correction: Boolean): lamb_update_phase1Param

    bias_correction

    Whether to use bias correction.

  31. def setClip_gradient(clip_gradient: Float): lamb_update_phase1Param

    clip_gradient

    Clip gradient to the range of [-clip_gradient, clip_gradient] If clip_gradient <= 0, gradient clipping is turned off. grad = max(min(grad, clip_gradient), -clip_gradient).

  32. def setEpsilon(epsilon: Float): lamb_update_phase1Param

    epsilon

    A small constant for numerical stability.

  33. def setOut(out: NDArray): lamb_update_phase1Param

  34. def setRescale_grad(rescale_grad: Float): lamb_update_phase1Param

    rescale_grad

    Rescale gradient to grad = rescale_grad*grad.

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

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  36. def toString(): String

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

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