object VariableElimination

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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(dependentUniverses: List[(Universe, List[NamedEvidence[_]])], dependentAlgorithm: (Universe, List[NamedEvidence[_]]) ⇒ () ⇒ Double, targets: Element[_]*)(implicit universe: Universe): ProbQueryVariableElimination

    Create a variable elimination computer with the given target query variables and using the given dependent universes in the current default universe.

    Create a variable elimination computer with the given target query variables and using the given dependent universes in the current default universe. Use the given dependent algorithm function to determine the algorithm to use to compute probability of evidence in each dependent universe.

  5. def apply(dependentUniverses: List[(Universe, List[NamedEvidence[_]])], targets: Element[_]*)(implicit universe: Universe): ProbQueryVariableElimination

    Create a variable elimination computer with the given target query variables and using the given dependent universes in the current default universe.

  6. def apply(targets: Element[_]*)(implicit universe: Universe): ProbQueryVariableElimination

    Create a variable elimination computer with the given target query variables in the current default universe.

  7. final def asInstanceOf[T0]: T0
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  8. def clone(): AnyRef
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  9. def debugged(targets: Element[_]*)(implicit universe: Universe): ProbQueryVariableElimination

    Create a variable elimination computer with the given target query variables in the current default universe, with debug information enabled.

  10. def eliminationOrder[T](factors: Traversable[Factor[T]], toPreserve: Traversable[Variable[_]], useBestScore: Boolean = true): (Double, List[Variable[_]])

    Method for choosing the elimination order.

    Method for choosing the elimination order. The default order chooses first the variable that minimizes the number of extra factor entries that would be created when it is eliminated. Override this method if you want a different rule.

    Returns the score of the ordering as well as the ordering. If useBestScore is set to false, then it returns the total score of the entire eliminiation operation

  11. final def eq(arg0: AnyRef): Boolean
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  12. def equals(arg0: Any): Boolean
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  13. def finalize(): Unit
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  14. final def getClass(): Class[_]
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  15. def hashCode(): Int
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  16. final def isInstanceOf[T0]: Boolean
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  17. final def ne(arg0: AnyRef): Boolean
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  18. final def notify(): Unit
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  19. final def notifyAll(): Unit
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  20. def probability[T](target: Element[T], value: T): Double

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

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

    Use VE to compute the probability that the given element satisfies the given predicate.

  22. final def synchronized[T0](arg0: ⇒ T0): T0
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  23. def timed(targets: Element[_]*)(implicit universe: Universe): ProbQueryVariableElimination

    Create a variable elimination computer with the given target query variables in the current default universe, with timing information enabled.

  24. def toString(): String
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  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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