dk.bayes.model.clustergraph.factor

MultiFactor

class MultiFactor extends Factor

Represents factor for multiple variables.

Linear Supertypes
Factor, AnyRef, Any
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  2. Factor
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  1. Public
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Instance Constructors

  1. new MultiFactor(variables: Array[Var], values: Array[Double])

    variables

    Factor variables

    values

    Factor values

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. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. def copy(values: Array[Double]): MultiFactor

    Returns a copy of this factor with new values.

    Returns a copy of this factor with new values.

    Definition Classes
    MultiFactorFactor
  9. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  11. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  13. def getValue(assignment: Array[Int]): Double

    Returns potential value for a given assignment to all factor variables.

    Returns potential value for a given assignment to all factor variables.

    assignment

    Array[variable value index]

    Definition Classes
    MultiFactorFactor
  14. def getValues(): Array[Double]

    Returns factor potentials.

    Returns factor potentials.

    Values indexing:

    variable0 (dim=3) variable1(dim=2) variable2(dim=2) value ------------------------- 0 0 0 val0 0 0 1 val1 0 1 0 val2 0 1 1 val3 1 0 0 val4 1 0 1 val5 1 1 0 val6 1 1 1 val7 2 0 0 val8 2 0 1 val9 2 1 0 val10 2 1 1 val11

    Definition Classes
    MultiFactorFactor
  15. def getVariables(): Array[Var]

    Returns factor variables.

    Returns factor variables.

    Definition Classes
    MultiFactorFactor
  16. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  17. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  18. def mapAssignments[T](f: (Array[Int]) ⇒ T)(implicit arg0: Manifest[T]): Array[T]

    Maps all factor assignments to an array of objects.

    Maps all factor assignments to an array of objects.

    f

    Mapping function. (Assignment) => Array element

    Definition Classes
    MultiFactorFactor
  19. def marginal(varId: Int): SingleFactor

    Returns marginal factor for a given variable id.

    Returns marginal factor for a given variable id.

    Definition Classes
    MultiFactorFactor
  20. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  21. def normalise(): Factor

    Returns new factor with all potential values normalised to 1.

    Returns new factor with all potential values normalised to 1.

    Definition Classes
    MultiFactorFactor
  22. final def notify(): Unit

    Definition Classes
    AnyRef
  23. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  24. def product(singleFactor: SingleFactor): MultiFactor

    Returns product of this factor and single factor.

    Returns product of this factor and single factor.

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

    Definition Classes
    AnyRef
  26. def toString(): String

    Definition Classes
    AnyRef → Any
  27. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  29. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  30. def withEvidence(evidence: (Int, Int)): Factor

    Returns new factor with zero values for all potential entries inconsistent with evidence.

    Returns new factor with zero values for all potential entries inconsistent with evidence.

    evidence

    Tuple2[variable id, variable value index]

    Definition Classes
    MultiFactorFactor

Inherited from Factor

Inherited from AnyRef

Inherited from Any

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