cc.factorie.infer

BPFactor1Factor2Left

class BPFactor1Factor2Left extends BPFactor1 with DiscreteMarginal1[DiscreteVar] with DiscreteMarginal1Factor2Other[VectorVar, DiscreteVar]

Linear Supertypes
DiscreteMarginal1Factor2Other[VectorVar, DiscreteVar], BPFactor1, BPFactor, FactorMarginal, SimpleDiscreteMarginal1[DiscreteVar], DiscreteMarginal1[DiscreteVar], DiscreteMarginal, Marginal1, Marginal, AnyRef, Any
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Inherited
  1. BPFactor1Factor2Left
  2. DiscreteMarginal1Factor2Other
  3. BPFactor1
  4. BPFactor
  5. FactorMarginal
  6. SimpleDiscreteMarginal1
  7. DiscreteMarginal1
  8. DiscreteMarginal
  9. Marginal1
  10. Marginal
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new BPFactor1Factor2Left(factor: Factor2[VectorVar, DiscreteVar], edge1: BPEdge, sum: BPSummary)

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. val _1: DiscreteVar

    Definition Classes
    SimpleDiscreteMarginal1 → DiscreteMarginal1 → Marginal1

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. def betheObjective: Double

    Normalized probabilities over values of only the varying neighbors, in the form of a Proportions

    Normalized probabilities over values of only the varying neighbors, in the form of a Proportions

    Definition Classes
    BPFactor

  9. def calculateBeliefsTensor: la.Tensor1

    Unnormalized log scores over values of varying neighbors

    Unnormalized log scores over values of varying neighbors

    Definition Classes
    BPFactor1 → BPFactor

  10. def calculateLogZ: Double

    The logSum of all entries in the beliefs tensor

    The logSum of all entries in the beliefs tensor

    Definition Classes
    BPFactor

  11. def calculateMarginalTensor: Tensor

    Normalized probabilities over values of varying neighbors

    Normalized probabilities over values of varying neighbors

    Definition Classes
    BPFactor

  12. def calculateOutgoing1: la.Tensor1

    Definition Classes
    BPFactor1

  13. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  14. val edges: Seq[BPEdge]

    Definition Classes
    BPFactor1 → BPFactor

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

    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  17. val factor: Factor2[VectorVar, DiscreteVar]

    Definition Classes
    BPFactor1Factor2Left → DiscreteMarginal1Factor2Other → BPFactor → FactorMarginal

  18. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    AnyRef → Any

  20. def hasLimitedDiscreteValues1: Boolean

    Definition Classes
    BPFactor1Factor2Left → BPFactor1

  21. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  22. def incrementCurrentValue(w: Double): Unit

    Definition Classes
    SimpleDiscreteMarginal1

  23. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  24. def limitedDiscreteValues1: SparseBinaryTensor1

    Definition Classes
    BPFactor1Factor2Left → BPFactor1

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

    Definition Classes
    AnyRef

  26. final def notify(): Unit

    Definition Classes
    AnyRef

  27. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  28. def proportions: Proportions1

    Definition Classes
    BPFactor1 → SimpleDiscreteMarginal1 → DiscreteMarginal1 → DiscreteMarginal

  29. val scores: la.Tensor1

    Definition Classes
    BPFactor1Factor2Left → BPFactor1 → BPFactor

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

    Definition Classes
    DiscreteMarginal1 → Marginal

  31. val summary: BPSummary

    Definition Classes
    BPFactor1 → BPFactor

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

    Definition Classes
    AnyRef

  33. def tensorStatistics: Tensor

    Definition Classes
    DiscreteMarginal1Factor2Other → FactorMarginal

  34. def toString(): String

    Definition Classes
    AnyRef → Any

  35. def updateOutgoing(): Unit

    Definition Classes
    BPFactor1 → BPFactor

  36. def updateOutgoing(e: BPEdge): Unit

    Re-calculate the message from this factor to edge "e" and set e.

    Re-calculate the message from this factor to edge "e" and set e.messageFromFactor to the result.

    Definition Classes
    BPFactor1 → BPFactor

  37. def updateOutgoing1(): Unit

    Definition Classes
    BPFactor1

  38. def value1: Value

    Definition Classes
    DiscreteMarginal1

  39. def variables: Seq[DiscreteVar]

    Definition Classes
    DiscreteMarginal1 → DiscreteMarginal → Marginal1 → Marginal

  40. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from DiscreteMarginal1Factor2Other[VectorVar, DiscreteVar]

Inherited from BPFactor1

Inherited from BPFactor

Inherited from FactorMarginal

Inherited from SimpleDiscreteMarginal1[DiscreteVar]

Inherited from DiscreteMarginal1[DiscreteVar]

Inherited from DiscreteMarginal

Inherited from Marginal1

Inherited from Marginal

Inherited from AnyRef

Inherited from Any

Ungrouped