LBFGS

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

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

   Definition Classes

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6. var alpha: Array[Double]

7. final def asInstanceOf[T0]: T0

   Definition Classes

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8. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

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   Annotations

   @throws( ... )

9. var direction: WeightsMap

10. val eps: Double

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

    Definition Classes

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12. def equals(arg0: Any): Boolean

    Definition Classes

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13. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

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    @throws( classOf[java.lang.Throwable] )

14. def finalizeWeights(weights: WeightsSet): Unit

    Once learning is done, the weights should be copied back into normal tensors.

    Once learning is done, the weights should be copied back into normal tensors.

    weights

    The weights

    Definition Classes

    LBFGS → GradientOptimizer

15. var g: WeightsMap

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

    Definition Classes

    AnyRef → Any

17. var gradientTolerance: Double

18. def hashCode(): Int

    Definition Classes

    AnyRef → Any

19. val initialStepSize: Double

20. def initializeWeights(weights: WeightsSet): Unit

    Some optimizers swap out weights with special purpose tensors for e.

    Some optimizers swap out weights with special purpose tensors for e.g. efficient scoring while learning.

    weights

    The weights

    Definition Classes

    LBFGS → GradientOptimizer

21. def isConverged: Boolean

    Whether the optimizer has converged yet.

    Whether the optimizer has converged yet.

    Definition Classes

    LBFGS → GradientOptimizer

22. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

23. var iterations: Int

24. var lineMaximizer: BackTrackLineOptimizer

25. val logger: Logger

    Definition Classes

    FastLogging → Logging

26. var maxIterations: Int

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

    Definition Classes

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28. final def notify(): Unit

    Definition Classes

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29. final def notifyAll(): Unit

    Definition Classes

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30. var numIterations: Double

31. var oldParams: WeightsMap

32. var oldValue: Double

33. var oldg: WeightsMap

34. var params: WeightsSet

35. def postIteration(iter: Int): Unit

36. def pushDbl(l: ArrayBuffer[Double], toadd: Double): Unit

37. def pushTensor(l: ArrayBuffer[WeightsMap], toadd: WeightsMap): Unit

38. val rankOfApproximation: Int

39. def reset(): Unit

    Reset the optimizers internal state (such as Hessian approximation, etc.

    Reset the optimizers internal state (such as Hessian approximation, etc.)

    Definition Classes

    LBFGS → GradientOptimizer

40. var rho: ArrayBuffer[Double]

41. var s: ArrayBuffer[WeightsMap]

42. def step(weights: WeightsSet, gradient: WeightsMap, value: Double): Unit

    Updates the weights according to the gradient.

    Updates the weights according to the gradient.

    weights

    The weights

    gradient

    The gradient

    value

    The value

    Definition Classes

    LBFGS → GradientOptimizer

43. var step: Double

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

    Definition Classes

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45. def toString(): String

    Definition Classes

    AnyRef → Any

46. var tolerance: Double

47. final def wait(): Unit

    Definition Classes

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    @throws( ... )

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

    Definition Classes

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    Annotations

    @throws( ... )

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

    Definition Classes

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    Annotations

    @throws( ... )

50. var y: ArrayBuffer[WeightsMap]