Object

org.apache.flink.ml.optimization

HingeLoss

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object HingeLoss extends PartialLossFunction

Hinge loss function which can be used with the GenericLossFunction

The HingeLoss function implements max(0, 1 - prediction*label) for binary classification with label in {-1, 1}

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PartialLossFunction, Serializable, Serializable, AnyRef, Any
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  1. HingeLoss
  2. PartialLossFunction
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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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  5. def clone(): AnyRef

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  6. def derivative(prediction: Double, label: Double): Double

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    Calculates the derivative of the loss function with respect to the prediction

    Calculates the derivative of the loss function with respect to the prediction

    prediction

    The predicted value

    label

    The true value

    returns

    The derivative of the loss function

    Definition Classes
    HingeLoss → PartialLossFunction

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. def loss(prediction: Double, label: Double): Double

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    Calculates the loss for a given prediction/truth pair

    Calculates the loss for a given prediction/truth pair

    prediction

    The predicted value

    label

    The true value

    returns

    The loss

    Definition Classes
    HingeLoss → PartialLossFunction

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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Inherited from PartialLossFunction

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

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