rmspropalex_updateParam

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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. final def asInstanceOf[T0]: T0

   

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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

   

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10. def getClip_gradient(): Float

    

11. def getClip_weights(): Float

    

12. def getDelta(): NDArray

    

13. def getEpsilon(): Float

    

14. def getG(): NDArray

    

15. def getGamma1(): Float

    

16. def getGamma2(): Float

    

17. def getGrad(): NDArray

    

18. def getLr(): Float

    

19. def getN(): NDArray

    

20. def getOut(): mxnet.NDArray

    

21. def getRescale_grad(): Float

    

22. def getWd(): Float

    

23. def getWeight(): NDArray

    

24. def hashCode(): Int

    

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25. final def isInstanceOf[T0]: Boolean

    

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

    

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27. final def notify(): Unit

    

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28. final def notifyAll(): Unit

    

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29. def setClip_gradient(clip_gradient: Float): rmspropalex_updateParam

    
    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).

30. def setClip_weights(clip_weights: Float): rmspropalex_updateParam

    
    clip_weights

    Clip weights to the range of [-clip_weights, clip_weights] If clip_weights <= 0, weight clipping is turned off. weights = max(min(weights, clip_weights), -clip_weights).

31. def setEpsilon(epsilon: Float): rmspropalex_updateParam

    
    epsilon

    A small constant for numerical stability.

32. def setGamma1(gamma1: Float): rmspropalex_updateParam

    
    gamma1

    Decay rate.

33. def setGamma2(gamma2: Float): rmspropalex_updateParam

    
    gamma2

    Decay rate.

34. def setOut(out: NDArray): rmspropalex_updateParam

    

35. def setRescale_grad(rescale_grad: Float): rmspropalex_updateParam

    
    rescale_grad

    Rescale gradient to grad = rescale_grad*grad.

36. def setWd(wd: Float): rmspropalex_updateParam

    
    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.

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

    

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38. def toString(): String

    

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39. final def wait(): Unit

    

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

    

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

    

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