cc.factorie.tutorial.TutorialFactors

MyClassifier

class MyClassifier extends DotFactorWithStatistics2[Label, Article]

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  1. MyClassifier
  2. DotFactorWithStatistics2
  3. TensorFactorStatistics2
  4. DotFactor2
  5. TensorFactor2
  6. Factor2
  7. Factor
  8. Ordered
  9. Comparable
  10. AnyRef
  11. Any
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Instance Constructors

  1. new MyClassifier(label: Label, article: Article)

Type Members

  1. type NeighborType1 = Label

    Definition Classes
    Factor2
  2. type NeighborType2 = Article

    Definition Classes
    Factor2
  3. type StatisticsType = Tensor

    Definition Classes
    TensorFactor2Factor

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: model.Factor): Boolean

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

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

    Definition Classes
    Ordered
  10. val _1: Label

  11. val _2: Article

  12. var _hashCode: Int

    Definition Classes
    Factor
  13. def addLimitedDiscreteCurrentValues1(): Unit

    Definition Classes
    Factor2
  14. def addLimitedDiscreteCurrentValues12(): Unit

    Definition Classes
    Factor2
  15. def addLimitedDiscreteValues1(i: Int): Unit

    Definition Classes
    Factor2
  16. def addLimitedDiscreteValues12(i: Int, j: Int): Unit

    Definition Classes
    Factor2
  17. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  18. 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
    Factor2Factor
  19. def assignmentScoreAndStatistics(a: variable.Assignment): (Double, StatisticsType)

    Definition Classes
    Factor
  20. 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
    Factor2Factor
  21. def clone(): AnyRef

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

    Definition Classes
    Ordered → Comparable
  24. def currentAssignment: Assignment2[Label, Article]

    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
    Factor2Factor
  25. 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
    Factor2Factor
  26. 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
    Factor2Factor
  27. 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
    Factor2Factor
  28. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  29. 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
  30. def equals(other: Any): Boolean

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

    Definition Classes
    Factor
  32. def finalize(): Unit

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

    Definition Classes
    AnyRef → Any
  34. def hasLimitedDiscreteValues1: Boolean

    Definition Classes
    Factor2
  35. def hasLimitedDiscreteValues12: Boolean

    Definition Classes
    Factor2
  36. def hashCode(): Int

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

    Definition Classes
    Any
  38. def limitedDiscreteValues1: SparseBinaryTensor1

    Definition Classes
    Factor2
  39. def limitedDiscreteValues12: SparseBinaryTensor2

    Definition Classes
    Factor2
  40. final def ne(arg0: AnyRef): Boolean

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

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

    Definition Classes
    AnyRef
  43. def numVariables: Int

    The number of variables neighboring this factor.

    The number of variables neighboring this factor.

    Definition Classes
    Factor2Factor
  44. final def score(v1: Label.Value, v2: Article.Value): Double

    Definition Classes
    TensorFactor2Factor2
  45. def scoreAndStatistics(v1: Label.Value, v2: Article.Value): (Double, Tensor)

    Definition Classes
    TensorFactor2Factor2
  46. final def statistics(v1: Label.Value, v2: Article.Value): Tensor

    Definition Classes
    TensorFactorStatistics2TensorFactor2Factor2
  47. final 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
    TensorFactorStatistics2Factor
  48. def statisticsScore(t: Tensor): Double

    Definition Classes
    DotFactor2TensorFactor2
  49. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  50. def toString(): String

    Definition Classes
    Factor → AnyRef → Any
  51. 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
  52. 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
  53. def valuesScore(valueTensor: 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
    DotFactorWithStatistics2Factor
  54. def valuesScore1(tensor1: Tensor, tensor2: Tensor): la.Tensor1

    Given multiplicative factors on values of neighbor _1 (which allow for limited iteration), and given the Tensor value of neighbor _2, return a Tensor1 containing the scores for each possible value neighbor _1, which must be a DiscreteVar.

    Given multiplicative factors on values of neighbor _1 (which allow for limited iteration), and given the Tensor value of neighbor _2, 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.

    Definition Classes
    Factor2
  55. def valuesScore2(tensor1: Tensor, tensor2: Tensor): la.Tensor1

    Definition Classes
    Factor2
  56. def valuesScoreAndStatistics(t: Tensor): (Double, Tensor)

    Definition Classes
    Factor
  57. final 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
    TensorFactorStatistics2Factor
  58. def variable(i: Int): variable.Var

    The Nth neighboring variable of this factor.

    The Nth neighboring variable of this factor.

    Definition Classes
    Factor2Factor
  59. def variables: IndexedSeq[variable.Var]

    Returns the collection of variables neighboring this factor.

    Returns the collection of variables neighboring this factor.

    Definition Classes
    Factor2Factor
  60. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  63. val weights: la.DenseTensor2

    Definition Classes
    MyClassifierDotFactor2

Inherited from DotFactor2[Label, Article]

Inherited from TensorFactor2[Label, Article]

Inherited from Factor2[Label, Article]

Inherited from model.Factor

Inherited from Ordered[model.Factor]

Inherited from Comparable[model.Factor]

Inherited from AnyRef

Inherited from Any

Ungrouped