cc.factorie.optimize

DominationLossExample

class DominationLossExample extends Example

Implements the domination loss function: it penalizes models that rank any of the badCandidates above any of the goodCandidates.

The actual loss used in this version is the maximum (margin-augmented) difference between goodCandidates and badCandidates.

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Instance Constructors

  1. new DominationLossExample(goodCandidates: Seq[variable.Var], badCandidates: Seq[variable.Var], model: model.Model with model.Parameters)

    goodCandidates

    The examples in the positive class

    badCandidates

    The examples in the negative class

    model

    The model

    You probably don't want to use this.

Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. def accumulateValueAndGradient(value: DoubleAccumulator, gradient: WeightsMapAccumulator): Unit

    Put objective value and gradient into the accumulators.

    Put objective value and gradient into the accumulators. Either argument can be null if they don't need to be computed.

    value

    Accumulator to hold value

    gradient

    Accumulator to hold gradient

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    DominationLossExampleExample
  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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    protected[java.lang]
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  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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