com.cra.figaro.algorithm.factored

ParticleGenerator

class ParticleGenerator extends AnyRef

Class to handle sampling from continuous elements in PBP

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Instance Constructors

  1. new ParticleGenerator(de: DensityEstimator, numArgSamples: Int, numTotalSamples: Int)

    de

    An instance to compute the density estimate of point during resampling

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. def apply[T](elem: Element[T], numSamples: Int): List[(Double, T)]

    Retrieves the samples for an element using the indicated number of samples

  5. def apply[T](elem: Element[T]): List[(Double, T)]

    Retrieves the samples for an element using the default number of samples.

  6. final def asInstanceOf[T0]: T0

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  7. def clear(): Unit

    Clears all of the samples for elements in this sampler

  8. def clone(): AnyRef

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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. val numArgSamples: Int

  19. val numTotalSamples: Int

  20. def resample(elem: Element[_], beliefs: List[Tuple2[Double, _]], oldMessages: List[List[Tuple2[Double, _]]], proposalVariance: Double): Unit

    Resample and update the element from the indicated beliefs beliefs/oldMessages = (Probability, Value)

  21. def sampledElements(): Set[Element[_]]

    Returns the set of sampled elements contained in this sampler

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

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  23. def toString(): String

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  24. def update(elem: Element[_], numSamples: Int, samples: List[Tuple2[Double, _]]): Unit

    Updates the samples for an element

  25. final def wait(): Unit

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

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

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