cc.factorie.optimize

SampleRankExample

class SampleRankExample[C] extends Example

Provides a gradient that encourages the model.score to rank its best proposal the same as the objective.score would, with a margin.

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Instance Constructors

  1. new SampleRankExample(context: C, sampler: ProposalSampler[C])

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

    Definition Classes
    SampleRankExampleExample
  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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    @throws( ... )
  9. val context: C

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

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. var learningMargin: Double

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. val sampler: ProposalSampler[C]

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

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  22. def toString(): String

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  23. final def wait(): Unit

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    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit

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

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