cc.factorie.infer

SamplingSummary

class SamplingSummary extends Summary

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Instance Constructors

  1. new SamplingSummary(variables: Iterable[Var], factors: Iterable[model.Factor])

Value Members

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

    Definition Classes
    AnyRef

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

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  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  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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    protected[java.lang]
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    @throws( ... )

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

    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  10. def factorMarginals: Iterable[SamplingFactorMarginal]

    Definition Classes
    SamplingSummary → Summary

  11. def finalize(): Unit

    Attributes
    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
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  13. def getMarginal(v: variable.Var): Option[Marginal1]

    If this summary has a univariate Marginal for variable v, return it in an Option; otherwise return None.

    If this summary has a univariate Marginal for variable v, return it in an Option; otherwise return None.

    Definition Classes
    Summary

  14. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
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  16. var logZ: Double

    Definition Classes
    SamplingSummary → Summary

  17. def marginal(factor: model.Factor): FactorMarginal

    If this Summary has a Marginal that touches all or a subset of the neighbors of this factor return the Marginal with the maximally-available subset.

    If this Summary has a Marginal that touches all or a subset of the neighbors of this factor return the Marginal with the maximally-available subset.

    Definition Classes
    SamplingSummary → Summary

  18. def marginal(v: Var): Marginal1

    If this Summary has a univariate Marginal for variable v, return it; otherwise return null.

    If this Summary has a univariate Marginal for variable v, return it; otherwise return null.

    Definition Classes
    SamplingSummary → Summary

  19. val marginalMap: Map[model.DotFamily.Factor, SamplingFactorMarginal]

  20. def marginals: Iterable[SamplingVariableMarginal]

    The collection of all Marginals available in this Summary

    The collection of all Marginals available in this Summary

    Definition Classes
    SamplingSummary → Summary

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

    Definition Classes
    AnyRef

  22. final def notify(): Unit

    Definition Classes
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  23. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  24. def setToMaximize(implicit d: variable.DiffList): Unit

    Definition Classes
    Summary

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

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  26. def toString(): String

    Definition Classes
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  27. val variableMap: Map[MutableDiscreteVar, SamplingVariableMarginal]

  28. final def wait(): Unit

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

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

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