org.apache.mxnet.javaapi

SVMOutputParam

Related Doc: package javaapi

class SVMOutputParam extends AnyRef

This Param Object is specifically used for SVMOutput

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Instance Constructors

  1. new SVMOutputParam(data: NDArray, label: NDArray)

    data

    Input data for SVM transformation.

    label

    Class label for the input data.

Value Members

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

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  10. def getData(): NDArray

  11. def getLabel(): NDArray

  12. def getMargin(): Float

  13. def getOut(): mxnet.NDArray

  14. def getRegularization_coefficient(): Float

  15. def getUse_linear(): Boolean

  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def setMargin(margin: Float): SVMOutputParam

    margin

    The loss function penalizes outputs that lie outside this margin. Default margin is 1.

  22. def setOut(out: NDArray): SVMOutputParam

  23. def setRegularization_coefficient(regularization_coefficient: Float): SVMOutputParam

    regularization_coefficient

    Regularization parameter for the SVM. This balances the tradeoff between coefficient size and error.

  24. def setUse_linear(use_linear: Boolean): SVMOutputParam

    use_linear

    Whether to use L1-SVM objective. L2-SVM objective is used by default.

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

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  26. def toString(): String

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  27. final def wait(): Unit

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

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

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