cc.factorie.model

Factor3

abstract class Factor3[N1 <: variable.Var, N2 <: variable.Var, N3 <: variable.Var] extends Factor

The only abstract things are _1, _2, _3, statistics(Values), and StatisticsType

Self Type
Factor3[N1, N2, N3]
Linear Supertypes
Factor, Ordered[Factor], Comparable[Factor], AnyRef, Any
Known Subclasses
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  1. Factor3
  2. Factor
  3. Ordered
  4. Comparable
  5. AnyRef
  6. Any
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Instance Constructors

  1. new Factor3(_1: N1, _2: N2, _3: N3)

Type Members

  1. type NeighborType1 = N1

  2. type NeighborType2 = N2

  3. type NeighborType3 = N3

  4. abstract type StatisticsType

    Definition Classes
    Factor

Abstract Value Members

  1. abstract def score(v1: N1.Value, v2: N2.Value, v3: N3.Value): Double

  2. abstract def statistics(v1: N1.Value, v2: N2.Value, v3: N3.Value): StatisticsType

Concrete 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. def <(that: Factor): Boolean

    Definition Classes
    Ordered
  5. def <=(that: Factor): Boolean

    Definition Classes
    Ordered
  6. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  7. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  8. def >(that: Factor): Boolean

    Definition Classes
    Ordered
  9. def >=(that: Factor): Boolean

    Definition Classes
    Ordered
  10. val _1: N1

  11. val _2: N2

  12. val _3: N3

  13. var _hashCode: Int

    Definition Classes
    Factor
  14. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  15. def assignmentScore(a: variable.Assignment): Double

    The ability to score a Values object is now removed, and this is its closest alternative.

    The ability to score a Values object is now removed, and this is its closest alternative.

    Definition Classes
    Factor3Factor
  16. def assignmentScoreAndStatistics(a: variable.Assignment): (Double, StatisticsType)

    Definition Classes
    Factor
  17. final def assignmentStatistics(a: variable.Assignment): StatisticsType

    Return this Factor's sufficient statistics for the values in the Assignment.

    Return this Factor's sufficient statistics for the values in the Assignment.

    Definition Classes
    Factor3Factor
  18. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  19. def compare(that: Factor): Int

    Return an object that can iterate over all value assignments to the neighbors of this Factor

    Return an object that can iterate over all value assignments to the neighbors of this Factor

    Definition Classes
    Factor → Ordered
  20. def compareTo(that: Factor): Int

    Definition Classes
    Ordered → Comparable
  21. def currentAssignment: Assignment3[N1, N2, N3]

    Return a record of the current values of this Factor's neighbors.

    Return a record of the current values of this Factor's neighbors.

    Definition Classes
    Factor3Factor
  22. def currentScore: Double

    This factor's contribution to the unnormalized log-probability of the current possible world.

    This factor's contribution to the unnormalized log-probability of the current possible world.

    Definition Classes
    Factor3Factor
  23. def currentScoreAndStatistics: (Double, StatisticsType)

    Return the score and statistics of the current neighbor values; this method enables special cases in which it is more efficient to calculate them together.

    Return the score and statistics of the current neighbor values; this method enables special cases in which it is more efficient to calculate them together.

    Definition Classes
    Factor3Factor
  24. def currentStatistics: StatisticsType

    Return this Factor's sufficient statistics of the current values of the Factor's neighbors.

    Return this Factor's sufficient statistics of the current values of the Factor's neighbors.

    Definition Classes
    Factor3Factor
  25. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  26. def equalityPrerequisite: AnyRef

    In order to two Factors to satisfy "equals", the value returned by this method for each Factor must by "eq".

    In order to two Factors to satisfy "equals", the value returned by this method for each Factor must by "eq". This method is overridden in Family to deal with Factors that are inner classes.

    Definition Classes
    Factor
  27. def equals(other: Any): Boolean

    Definition Classes
    Factor → AnyRef → Any
  28. def factorName: String

    Definition Classes
    Factor
  29. def finalize(): Unit

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

    Definition Classes
    AnyRef → Any
  31. def hasLimitedDiscreteValues1: Boolean

  32. def hasLimitedDiscreteValues12: Boolean

  33. def hasLimitedDiscreteValues123: Boolean

  34. def hashCode(): Int

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

    Definition Classes
    Any
  36. def limitedDiscreteValues1: SparseBinaryTensor1

  37. def limitedDiscreteValues12: SparseBinaryTensor2

  38. def limitedDiscreteValues123: SparseBinaryTensor3

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

    Definition Classes
    AnyRef
  40. final def notify(): Unit

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

    Definition Classes
    AnyRef
  42. def numVariables: Int

    The number of variables neighboring this factor.

    The number of variables neighboring this factor.

    Definition Classes
    Factor3Factor
  43. def scoreAndStatistics(v1: N1.Value, v2: N2.Value, v3: N3.Value): (Double, StatisticsType)

  44. def statisticsAreValues: Boolean

    True iff the statistics are the values (without transformation), e.

    True iff the statistics are the values (without transformation), e.g. valuesStatistics simply returns its argument.

    Definition Classes
    Factor
  45. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  46. def toString(): String

    Definition Classes
    Factor → AnyRef → Any
  47. def touches(variable: variable.Var): Boolean

    Does this Factor have the given variable among its neighbors?

    Does this Factor have the given variable among its neighbors?

    Definition Classes
    Factor
  48. def touchesAny(variables: Iterable[variable.Var]): Boolean

    Does this Factor have any of the given variables among its neighbors?

    Does this Factor have any of the given variables among its neighbors?

    Definition Classes
    Factor
  49. def valuesScore(tensor: Tensor): Double

    Return the score for Factors whose values can be represented as a Tensor, otherwise throw an Error.

    Return the score for Factors whose values can be represented as a Tensor, otherwise throw an Error. For Factors/Family in which the Statistics are the values, this method simply calls statisticsScore(Tensor).

    Definition Classes
    Factor
  50. def valuesScore1(tensor1: Tensor, tensor2: Tensor, tensor3: Tensor): la.Tensor1

    Given the Tensor value of neighbors _2 and _3, return a Tensor1 containing the scores for each possible value neighbor _1, which must be a DiscreteVar.

    Given the Tensor value of neighbors _2 and _3, return a Tensor1 containing the scores for each possible value neighbor _1, which must be a DiscreteVar. Note that the returned Tensor may be sparse if this factor is set up for limited values iteration. If _1 is not a DiscreteVar then throws an Error.

  51. def valuesScore2(tensor1: Tensor, tensor2: Tensor, tensor3: Tensor): la.Tensor1

  52. def valuesScore3(tensor1: Tensor, tensor2: Tensor, tensor3: Tensor): la.Tensor1

  53. def valuesScoreAndStatistics(t: Tensor): (Double, Tensor)

    Definition Classes
    Factor
  54. def valuesStatistics(tensor: Tensor): Tensor

    Given a Tensor representation of the values, return a Tensor representation of the statistics.

    Given a Tensor representation of the values, return a Tensor representation of the statistics. We assume that if the values have Tensor representation that the StatisticsType does also. Note that (e.g. in BP) the Tensor may represent not just a single value for each neighbor, but a distribution over values

    Definition Classes
    Factor
  55. def variable(i: Int): variable.Var

    The Nth neighboring variable of this factor.

    The Nth neighboring variable of this factor.

    Definition Classes
    Factor3Factor
  56. def variables: IndexedSeq[variable.Var]

    Returns the collection of variables neighboring this factor.

    Returns the collection of variables neighboring this factor.

    Definition Classes
    Factor3Factor
  57. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Factor

Inherited from Ordered[Factor]

Inherited from Comparable[Factor]

Inherited from AnyRef

Inherited from Any

Ungrouped