cc.factorie.app.nlp.coref

ImplicitCrossProductCorefModel

class ImplicitCrossProductCorefModel extends PairwiseCorefModel

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  1. ImplicitCrossProductCorefModel
  2. PairwiseCorefModel
  3. Parameters
  4. OptimizablePredictor
  5. Predictor
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Instance Constructors

  1. new ImplicitCrossProductCorefModel()

Value Members

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

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

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. val MentionPairCrossFeaturesDomain: VectorDomain

    Definition Classes
    PairwiseCorefModel
  7. val MentionPairFeaturesDomain: CategoricalVectorDomain[String]

    Definition Classes
    PairwiseCorefModel
  8. val MentionPairLabelDomain: CategoricalDomain[String]

    Definition Classes
    PairwiseCorefModel
  9. object MentionPairLabelThing

    Definition Classes
    PairwiseCorefModel
  10. def Weights(t4: ⇒ Tensor4): Weights4

    Definition Classes
    Parameters
  11. def Weights(t3: ⇒ Tensor3): Weights3

    Definition Classes
    Parameters
  12. def Weights(t2: ⇒ Tensor2): Weights2

    Definition Classes
    Parameters
  13. def Weights(t1: ⇒ Tensor1): Weights1

    Definition Classes
    Parameters
  14. def accumulate(acc: WeightsMapAccumulator, pairwiseStats: la.Tensor1, f: Double): Unit

  15. def accumulateObjectiveGradient(accumulator: WeightsMapAccumulator, features: la.Tensor1, gradient: Double, weight: Double): Unit

    Put gradient of objective with respect to parameters into the accumulator.

    Put gradient of objective with respect to parameters into the accumulator. The contract states we cannot mutate the "input" argument inside this method.

    accumulator

    Accumulator to hold gradient

    weight

    Weight mutliplier for gradient

    Definition Classes
    ImplicitCrossProductCorefModelOptimizablePredictor
  16. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  17. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
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    @throws( ... )
  18. def deserialize(filename: String): Unit

    Definition Classes
    PairwiseCorefModel
  19. def deserialize(stream: DataInputStream): Unit

    Definition Classes
    PairwiseCorefModel
  20. val domain: ImplicitDomain

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

    Definition Classes
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  22. def equals(arg0: Any): Boolean

    Definition Classes
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  23. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] )
  24. def generateTrueMap(mentions: Seq[Mention]): GenericEntityMap[Mention]

    Definition Classes
    PairwiseCorefModel
  25. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  26. def getExample(label: MentionPairLabel, scale: Double): optimize.Example

    Definition Classes
    PairwiseCorefModel
  27. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  28. final def isInstanceOf[T0]: Boolean

    Definition Classes
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  29. final def ne(arg0: AnyRef): Boolean

    Definition Classes
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  30. final def notify(): Unit

    Definition Classes
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  31. final def notifyAll(): Unit

    Definition Classes
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  32. val pairwise: Weights1

  33. val parameters: WeightsSet

    Definition Classes
    Parameters
  34. def predict(pairwiseStats: la.Tensor1): Double

  35. val products: Weights1

  36. def serialize(stream: DataOutputStream): Unit

    Definition Classes
    PairwiseCorefModel
  37. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  38. def toString(): String

    Definition Classes
    AnyRef → Any
  39. final def wait(): Unit

    Definition Classes
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    @throws( ... )
  40. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
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    @throws( ... )
  41. final def wait(arg0: Long): Unit

    Definition Classes
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    @throws( ... )

Inherited from PairwiseCorefModel

Inherited from model.Parameters

Inherited from OptimizablePredictor[Double, la.Tensor1]

Inherited from Predictor[Double, la.Tensor1]

Inherited from AnyRef

Inherited from Any

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