BackTrackLineOptimizer

Value Members

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

   Definition Classes

   AnyRef

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

   Definition Classes

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3. final def ##(): Int

   Definition Classes

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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 ALF: Double

7. val EPS: Double

8. var absTolx: Double

9. var alam: Double

10. var alam2: Double

11. var alamin: Double

12. final def asInstanceOf[T0]: T0

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13. def clone(): AnyRef

    Attributes

    protected[java.lang]

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

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15. def equals(arg0: Any): Boolean

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16. def finalize(): Unit

    Attributes

    protected[java.lang]

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

17. 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

    BackTrackLineOptimizer → GradientOptimizer

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

    Definition Classes

    AnyRef → Any

19. val gradient: WeightsMap

    The gradient

20. def hashCode(): Int

    Definition Classes

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21. val initialStepSize: Double

    The initial step size

22. 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

    BackTrackLineOptimizer → GradientOptimizer

23. def isConverged: Boolean

    Whether the optimizer has converged yet.

    Whether the optimizer has converged yet.

    Definition Classes

    BackTrackLineOptimizer → GradientOptimizer

24. final def isInstanceOf[T0]: Boolean

    Definition Classes

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25. val line: WeightsMap

    A line

26. val logger: Logger

    Definition Classes

    FastLogging → Logging

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

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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 oldAlam: Double

31. var oldValue: Double

32. var origValue: Double

33. var origWeights: WeightsMap

34. var relTolx: Double

35. 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

    BackTrackLineOptimizer → GradientOptimizer

36. var slope: Double

37. 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

    BackTrackLineOptimizer → GradientOptimizer

38. def stepSize: Double

39. val stpmax: Double

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

    Definition Classes

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41. var tmplam: Double

42. def toString(): String

    Definition Classes

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43. final def wait(): Unit

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

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

    Definition Classes

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