ProbFactor

Value Members

1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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5. final def ==(arg0: Any): Boolean

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6. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

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8. def combineFactors(oldFactors: List[Factor[Double]], semiring: Semiring[Double], removeTemporaries: Boolean): List[Factor[Double]]

9. def concreteFactors[T](elem: Element[T]): List[Factor[Double]]

10. final def eq(arg0: AnyRef): Boolean

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11. def equals(arg0: Any): Boolean

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12. def finalize(): Unit

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13. final def getClass(): Class[_]

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14. def hashCode(): Int

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15. final def isInstanceOf[T0]: Boolean

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16. def make(elem: Element[_]): List[Factor[Double]]

    Create the probabilistic factors associated with an element.

    Create the probabilistic factors associated with an element. This method is memoized.

17. def makeConditionalSelector[T, U](overallElem: Element[U], selector: Variable[T], outcomeIndex: Int, outcomeVar: Variable[U])(implicit mapper: PointMapper[U]): Factor[Double]

    Make a conditional selector factor used in the decomposition of chain and other elements.

    Make a conditional selector factor used in the decomposition of chain and other elements. A chain defines a factor over the parent element, each of the possible result elements of the chain, and the overall chain element. This can produce a very large factor when there are many result elements. This is solved by decomposing the chain factor into a product of factors, each of which contains the parent element, one of the result elements, and the overall chain element.

18. def makeDependentFactor(parentUniverse: Universe, dependentUniverse: Universe, probEvidenceComputer: () ⇒ Double): Factor[Double]

    Create the probabilistic factor encoding the probability of evidence in the dependent universe as a function of the values of variables in the parent universe.

    Create the probabilistic factor encoding the probability of evidence in the dependent universe as a function of the values of variables in the parent universe. The third argument is the the function to use for computing probability of evidence in the dependent universe. It is assumed that the definition of this function will already contain the right evidence.

19. def makeNonConstraintFactors(elem: Element[_]): List[Factor[Double]]

20. def makeStarFactor[T](elem: Element[T]): List[Factor[Double]]

21. val maxElementCount: Int

22. val maxSize: Int

23. final def ne(arg0: AnyRef): Boolean

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24. val newFactors: ListBuffer[Factor[Double]]

25. val nextFactors: ListBuffer[Factor[Double]]

26. final def notify(): Unit

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27. final def notifyAll(): Unit

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28. def removeFactors(): Unit

    Clear the factor cache.

29. def removeFactors(elem: Element[_]): Unit

    Remove an element from the factor cache, ensuring that factors for the element are regenerated.

    Remove an element from the factor cache, ensuring that factors for the element are regenerated. This is important, for example, if evidence on the variable has changed.

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

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31. val tempFactors: ListBuffer[Factor[Double]]

32. def toString(): String

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33. val variableSet: Set[ElementVariable[_]]

34. final def wait(): Unit

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

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

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