c

com.cra.figaro.algorithm.sampling

LikelihoodWeighter

class LikelihoodWeighter extends AnyRef

A class that implements sampling via likelihood weighting on a set of elements.

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Instance Constructors

  1. new LikelihoodWeighter(universe: Universe, cache: Cache)

Value Members

  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 clearCache(): Unit

    Clear the cache

  6. def clone(): AnyRef
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  7. def computeWeight(elementsToVisit: List[Element[_]]): Double

    Sample each element in the list of elements and compute their likelihood weight

  8. def deregisterDependencies(): Unit

    Deregister the map of dependencies between elements

  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 getObservation(element: Element[_], observation: Option[_]): Option[Any]
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  14. def hashCode(): Int
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  15. final def isInstanceOf[T0]: Boolean
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  16. final def ne(arg0: AnyRef): Boolean
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  17. final def notify(): Unit
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  18. final def notifyAll(): Unit
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  19. def rejectionAction(): Unit
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  20. def setObservation(element: Element[_], obs: Option[_]): Unit
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  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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  24. final def wait(arg0: Long, arg1: Int): Unit
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  25. final def wait(arg0: Long): Unit
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