cc.factorie.infer.DualDecomposition

WeightedSummaryWithBP

class WeightedSummaryWithBP extends WarmStartWeightedSummary

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Instance Constructors

  1. new WeightedSummaryWithBP(vars: Iterable[DiscreteVar], model: model.Model, baseInfer: MaximizeByBP)

Type Members

  1. case class WeightedFactor(v: DiscreteVar, t: Tensor, d: Double) extends Factor1[DiscreteVar] with Product with Serializable

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. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  8. val combinedModel: model.CombinedModel

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

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  10. def equals(arg0: Any): Boolean

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  11. val factors: ArrayBuffer[WeightedFactor]

  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. def incrementWeights(v: DiscreteVar, t: Tensor, d: Double): Unit

  16. def infer(): Unit

  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. var summary: Summary

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

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  23. def toString(): String

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  24. final def wait(): Unit

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

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

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  27. val weightedModel: ItemizedModel

Inherited from WarmStartWeightedSummary

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