Object/Class

com.cra.figaro.algorithm.structured.algorithm.flat

FlatGibbs

Related Docs: class FlatGibbs | package flat

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object FlatGibbs

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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(numSamples: Int, burnIn: Int, interval: Int, blockToSampler: BlockSamplerCreator, targets: Element[_]*): FlatGibbs

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    Create a flat Gibbs algorithm.

  5. def apply(numSamples: Int, targets: Element[_]*): FlatGibbs

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    Create a flat Gibbs algorithm.

  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](target: Element[T], value: T): Double

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    Use Gibbs to compute the probability that the given element has the given value.

  18. def probability[T](target: Element[T], predicate: (T) ⇒ Boolean): Double

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    Use Gibbs to compute the probability that the given 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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