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object ParImportance

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  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(generator: () ⇒ Universe, numThreads: Int, numSamples: Int, targets: Reference[_]*): ParSampler with ParOneTime with ProbEvidenceQuery { val parAlgs: scala.collection.parallel.ParSeq[com.cra.figaro.algorithm.sampling.Importance with com.cra.figaro.algorithm.sampling.OneTimeProbQuerySampler with com.cra.figaro.algorithm.ProbEvidenceQuery] }

    Create a parallel one-time importance sampler with the given target query references using the given number of samples.

    Create a parallel one-time importance sampler with the given target query references using the given number of samples.

    generator

    a function that returns a universe, with any evidence applied

    numThreads

    the number of threads to spawn

    numSamples

    the number of samples to take, total, across the threads

    targets

    references to the target elements

  5. def apply(generator: () ⇒ Universe, numThreads: Int, targets: Reference[_]*): ParSampler with ParAnytime { val parAlgs: scala.collection.parallel.ParSeq[com.cra.figaro.algorithm.sampling.Importance with com.cra.figaro.algorithm.sampling.AnytimeProbQuerySampler] }

    Create a parallel anytime importance sampler with the given target query references.

    Create a parallel anytime importance sampler with the given target query references.

    generator

    a function that returns a universe, with any evidence applied

    numThreads

    the number of threads to spawn

    targets

    references to the target elements

  6. final def asInstanceOf[T0]: T0
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  7. def clone(): AnyRef
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  8. final def eq(arg0: AnyRef): Boolean
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  9. def equals(arg0: Any): Boolean
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  10. def finalize(): Unit
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  11. final def getClass(): Class[_]
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  12. def hashCode(): Int
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  13. final def isInstanceOf[T0]: Boolean
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  14. final def ne(arg0: AnyRef): Boolean
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  15. final def notify(): Unit
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  16. final def notifyAll(): Unit
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  17. def probability[T](generator: () ⇒ Universe, numThreads: Int, target: Reference[T], value: T): Double

    Use parallel IS to compute the probability that the given reference element has the given value.

  18. def probability[T](generator: () ⇒ Universe, numThreads: Int, target: Reference[T], predicate: (T) ⇒ Boolean): Double

    Use parallel IS to compute the probability that the given reference element satisfies the given predicate.

  19. final def synchronized[T0](arg0: ⇒ T0): T0
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  20. def toString(): String
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  21. final def wait(): Unit
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  22. final def wait(arg0: Long, arg1: Int): Unit
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  23. final def wait(arg0: Long): Unit
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