cc.factorie.app.nlp.ner.StackedChainNer

StackedChainNereModel

class StackedChainNereModel[Features <: CategoricalVectorVar[String]] extends ChainModel[L, Features, Token] with Parameters

Linear Supertypes
ChainModel[L, Features, Token], model.Parameters, model.Model, AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. StackedChainNereModel
  2. ChainModel
  3. Parameters
  4. Model
  5. AnyRef
  6. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Instance Constructors

  1. new StackedChainNereModel(featuresDomain1: CategoricalVectorDomain[String], labelToFeatures1: (L) ⇒ Features, labelToToken1: (L) ⇒ Token, tokenToLabel1: (Token) ⇒ L)(implicit mf: Manifest[Features])

Type Members

  1. class ChainLikelihoodExample extends optimize.Example

    Definition Classes
    ChainModel

  2. class ChainStructuredSVMExample extends ChainViterbiExample

    Definition Classes
    ChainModel

  3. class ChainViterbiExample extends optimize.Example

    Definition Classes
    ChainModel

  4. case class InferenceResults(logZ: Double, alphas: Array[la.DenseTensor1], betas: Array[la.DenseTensor1], localScores: Array[la.DenseTensor1]) extends Product with Serializable

    Definition Classes
    ChainModel

  5. case class ViterbiResults(mapScore: Double, mapValues: Array[Int], localScores: Array[la.DenseTensor1]) extends Product with Serializable

    Definition Classes
    ChainModel

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. def Weights(t4: ⇒ Tensor4): Weights4

    Definition Classes
    Parameters

  7. def Weights(t3: ⇒ Tensor3): Weights3

    Definition Classes
    Parameters

  8. def Weights(t2: ⇒ Tensor2): Weights2

    Definition Classes
    Parameters

  9. def Weights(t1: ⇒ Tensor1): Weights1

    Definition Classes
    Parameters

  10. def accumulateExtraObsGradients(gradient: WeightsMapAccumulator, obs: Tensor1, position: Int, labels: Seq[L]): Unit

    Definition Classes
    StackedChainNereModel → ChainModel

  11. def addFactors(dl: variable.DiffList, result: Set[model.Factor]): Unit

    Append to "result" all Factors in this Model that are affected by the given DiffList.

    Append to "result" all Factors in this Model that are affected by the given DiffList. This method must not append duplicates.

    Definition Classes
    Model

  12. def addFactors(d: variable.Diff, result: Set[model.Factor]): Unit

    Append to "result" all Factors in this Model that are affected by the given Diff.

    Append to "result" all Factors in this Model that are affected by the given Diff. This method must not append duplicates.

    Definition Classes
    Model

  13. def addFactors(variable: variable.Var, result: Set[model.Factor]): Unit

    Append to "result" all Factors in this Model that touch the given "variable".

    Append to "result" all Factors in this Model that touch the given "variable". This method must not append duplicates.

    Definition Classes
    Model

  14. def addFactors(variables: Iterable[variable.Var], result: Set[model.Factor]): Unit

    Append to "result" all Factors in this Model that touch any of the given "variables".

    Append to "result" all Factors in this Model that touch any of the given "variables". This method must not append duplicates.

    Definition Classes
    Model

  15. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  16. def assignmentScore(dl: variable.DiffList, assignment: variable.Assignment): Double

    Definition Classes
    Model

  17. def assignmentScore(d: variable.Diff, assignment: variable.Assignment): Double

    Definition Classes
    Model

  18. def assignmentScore(vars: Iterable[variable.Var], assignment: variable.Assignment): Double

    Definition Classes
    Model

  19. def assignmentScore(variable: variable.Var, assignment: variable.Assignment): Double

    Definition Classes
    Model

  20. val bias: DotFamilyWithStatistics1[L] { val weights: cc.factorie.model.Weights1 }

    Definition Classes
    ChainModel

  21. def clone(): AnyRef

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

  22. def currentScore(dl: variable.DiffList): Double

    Definition Classes
    Model

  23. def currentScore(d: variable.Diff): Double

    Definition Classes
    Model

  24. def currentScore(vars: Iterable[variable.Var]): Double

    Definition Classes
    Model

  25. def currentScore(variable: variable.Var): Double

    Definition Classes
    Model

  26. def deserialize(stream: InputStream): Unit

    Definition Classes
    ChainModel

  27. val embedding: DotFamilyWithStatistics2[L, EmbeddingVariable] { val weights: cc.factorie.model.Weights2 }

  28. val embeddingNext: DotFamilyWithStatistics2[L, EmbeddingVariable] { val weights: cc.factorie.model.Weights2 }

  29. val embeddingPrev: DotFamilyWithStatistics2[L, EmbeddingVariable] { val weights: cc.factorie.model.Weights2 }

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

    Definition Classes
    AnyRef

  31. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  32. def factors(variables: Iterable[variable.Var]): Iterable[Factor]

    Return all Factors in this Model that touch any of the given "variables".

    Return all Factors in this Model that touch any of the given "variables". The result will not have any duplicate Factors.

    Definition Classes
    StackedChainNereModel → ChainModel → Model

  33. def factors(v: variable.Var): Iterable[model.Factor]

    Return all Factors in this Model that touch the given "variable".

    Return all Factors in this Model that touch the given "variable". The result will not have any duplicate Factors.

    Definition Classes
    ChainModel → Model

  34. def factors(dl: variable.DiffList): Iterable[model.Factor]

    Return all Factors in this Model that are affected by the given DiffList.

    Return all Factors in this Model that are affected by the given DiffList. The result will not have any duplicate Factors. By default returns just the factors that neighbor the DiffList.variables, but this method may be overridden for special handling of the DiffList

    Definition Classes
    Model

  35. def factors(d: variable.Diff): Iterable[model.Factor]

    Return all Factors in this Model that are affected by the given Diff.

    Return all Factors in this Model that are affected by the given Diff. The result will not have any duplicate Factors. By default returns just the factors that neighbor Diff.variable, but this method may be overridden for special handling of the Diff

    Definition Classes
    Model

  36. def factorsOfClass[F <: model.Factor](d: variable.DiffList)(implicit fm: ClassTag[F]): Iterable[F]

    Definition Classes
    Model

  37. def factorsOfClass[F <: model.Factor](d: variable.DiffList, fclass: Class[F]): Iterable[F]

    Definition Classes
    Model

  38. def factorsOfClass[F <: model.Factor](variables: Iterable[variable.Var])(implicit fm: ClassTag[F]): Iterable[F]

    Definition Classes
    Model

  39. def factorsOfClass[F <: model.Factor](variable: variable.Var)(implicit fm: ClassTag[F]): Iterable[F]

    Definition Classes
    Model

  40. def factorsOfClass[F <: model.Factor](variables: Iterable[variable.Var], fclass: Class[F]): Iterable[F]

    Definition Classes
    Model

  41. def factorsOfClass[F <: model.Factor](variable: variable.Var, fclass: Class[F]): Iterable[F]

    Definition Classes
    Model

  42. def factorsOfFamilies[F <: Family](d: variable.DiffList, families: Seq[F]): Iterable[model.Model.factorsOfFamilies.F.Factor]

    Definition Classes
    Model

  43. def factorsOfFamilies[F <: Family](variables: Iterable[variable.Var], families: Seq[F]): Iterable[model.Model.factorsOfFamilies.F.Factor]

    Definition Classes
    Model

  44. def factorsOfFamilies[F <: Family](variable: variable.Var, families: Seq[F]): Iterable[model.Model.factorsOfFamilies.F.Factor]

    Definition Classes
    Model

  45. def factorsOfFamily[F <: Family](d: variable.DiffList, family: F): Iterable[model.Model.factorsOfFamily.F.Factor]

    Definition Classes
    Model

  46. def factorsOfFamily[F <: Family](variables: Iterable[variable.Var], family: F): Iterable[model.Model.factorsOfFamily.F.Factor]

    Definition Classes
    Model

  47. def factorsOfFamily[F <: Family](variable: variable.Var, family: F): Iterable[model.Model.factorsOfFamily.F.Factor]

    Definition Classes
    Model

  48. def factorsOfFamilyClass[F <: Family](d: variable.DiffList)(implicit fm: ClassTag[F]): Iterable[model.Model.factorsOfFamilyClass.F.Factor]

    Definition Classes
    Model

  49. def factorsOfFamilyClass[F <: Family](d: variable.DiffList, fclass: Class[F]): Iterable[model.Model.factorsOfFamilyClass.F.Factor]

    Definition Classes
    Model

  50. def factorsOfFamilyClass[F <: Family](variables: Iterable[variable.Var])(implicit fm: ClassTag[F]): Iterable[model.Model.factorsOfFamilyClass.F.Factor]

    Definition Classes
    Model

  51. def factorsOfFamilyClass[F <: Family](variable: variable.Var)(implicit fm: ClassTag[F]): Iterable[model.Model.factorsOfFamilyClass.F.Factor]

    Definition Classes
    Model

  52. def factorsOfFamilyClass[F <: Family](variables: Iterable[variable.Var], fclass: Class[F]): Iterable[model.Model.factorsOfFamilyClass.F.Factor]

    Definition Classes
    Model

  53. def factorsOfFamilyClass[F <: Family](variable: variable.Var, fclass: Class[F]): Iterable[model.Model.factorsOfFamilyClass.F.Factor]

    Definition Classes
    Model

  54. val featureClass: Class[_]

    Definition Classes
    ChainModel

  55. val featuresDomain: CategoricalVectorDomain[String]

    Definition Classes
    ChainModel

  56. def filterByFactorClass[F <: model.Factor](factors: Iterable[model.Factor], fclass: Class[F]): Iterable[F]

    Definition Classes
    Model

  57. def filterByFamilies[F <: Family](factors: Iterable[model.Factor], families: Seq[F]): Iterable[model.Model.filterByFamilies.F.Factor]

    Definition Classes
    Model

  58. def filterByFamily[F <: Family](factors: Iterable[model.Factor], family: F): Iterable[model.Model.filterByFamily.F.Factor]

    Definition Classes
    Model

  59. def filterByFamilyClass[F <: Family](factors: Iterable[model.Factor], fclass: Class[F]): Iterable[model.Model.filterByFamilyClass.F.Factor]

    Definition Classes
    Model

  60. def filterByNotFamilyClass[F <: Family](factors: Iterable[model.Factor], fclass: Class[F]): Iterable[model.Factor]

    Definition Classes
    Model

  61. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  63. def getHammingLossScores(varying: Seq[L with LabeledMutableDiscreteVar]): Array[la.Tensor1]

    Definition Classes
    ChainModel

  64. def getLocalScores(varying: Seq[L]): Array[DenseTensor1]

    Definition Classes
    StackedChainNereModel → ChainModel

  65. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  66. def inferFast(varying: Seq[L], addToLocalScoresOpt: Option[Array[la.Tensor1]] = None): InferenceResults

    Definition Classes
    ChainModel

  67. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  68. def itemizedModel(dl: variable.DiffList): ItemizedModel

    Definition Classes
    Model

  69. def itemizedModel(d: variable.Diff): ItemizedModel

    Definition Classes
    Model

  70. def itemizedModel(variables: Iterable[variable.Var]): ItemizedModel

    Definition Classes
    Model

  71. def itemizedModel(variable: variable.Var): ItemizedModel

    Definition Classes
    Model

  72. val labelClass: Class[_]

    Definition Classes
    ChainModel

  73. val labelDomain: CategoricalDomain[String]

    Definition Classes
    ChainModel

  74. val labelToFeatures: (L) ⇒ Features

    Definition Classes
    ChainModel

  75. val labelToToken: (L) ⇒ Token

    Definition Classes
    ChainModel

  76. val markov: DotFamilyWithStatistics2[L, L] { val weights: cc.factorie.model.Weights2 }

    Definition Classes
    ChainModel

  77. def maximize(vars: Seq[L])(implicit d: variable.DiffList): Unit

    Definition Classes
    ChainModel

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

    Definition Classes
    AnyRef

  79. def newFactorsCollection: Set[model.Factor]

    The "factors" methods need a new collection to return; this method is used by them to construct this collection.

    The "factors" methods need a new collection to return; this method is used by them to construct this collection.

    Definition Classes
    Model

  80. final def notify(): Unit

    Definition Classes
    AnyRef

  81. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  82. val obs: DotFamilyWithStatistics2[Features, L] { val weights: cc.factorie.model.Weights2 }

    Definition Classes
    ChainModel

  83. val obsmarkov: DotFamilyWithStatistics3[L, L, Features] { val weights: cc.factorie.model.Weights3 }

    Definition Classes
    ChainModel

  84. val parameters: WeightsSet

    Definition Classes
    Parameters

  85. def serialize(stream: OutputStream): Unit

    Definition Classes
    ChainModel

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

    Definition Classes
    AnyRef

  87. def toString(): String

    Definition Classes
    AnyRef → Any

  88. val tokenClass: Class[_]

    Definition Classes
    ChainModel

  89. val tokenToLabel: (Token) ⇒ L

    Definition Classes
    ChainModel

  90. var useObsMarkov: Boolean

    Definition Classes
    ChainModel

  91. def viterbiFast(varying: Seq[L], addToLocalScoresOpt: Option[Array[la.Tensor1]] = None): ViterbiResults

    Definition Classes
    ChainModel

  92. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ChainModel[L, Features, Token]

Inherited from model.Parameters

Inherited from model.Model

Inherited from AnyRef

Inherited from Any

Ungrouped