epic.sequences

CRFInference

class CRFInference[L, W] extends AugmentableInference[TaggedSequence[L, W], Anchoring[L, W]] with CRF[L, W] with AnnotatingInference[TaggedSequence[L, W]] with Serializable

Annotations
@SerialVersionUID()
Linear Supertypes
AnnotatingInference[TaggedSequence[L, W]], CRF[L, W], AugmentableInference[TaggedSequence[L, W], CRF.Anchoring[L, W]], Inference[TaggedSequence[L, W]], Serializable, Serializable, AnyRef, Any
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Inherited
  1. CRFInference
  2. AnnotatingInference
  3. CRF
  4. AugmentableInference
  5. Inference
  6. Serializable
  7. Serializable
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new CRFInference(weights: DenseVector[Double], featureIndex: Index[Feature], lexicon: Factory[L, W], featurizer: IndexedFeaturizer[L, W])

Type Members

  1. class Anchoring extends CRF.Anchoring[L, W]

  2. type ExpectedCounts = StandardExpectedCounts[Feature]

  3. type Marginal = CRF.Marginal[L, W]

    Definition Classes
    CRFInference → Inference

  4. type Scorer = CRF.Anchoring[L, W]

    Definition Classes
    CRFInference → Inference

Value Members

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

    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef → Any

  4. def anchor(w: IndexedSeq[W]): Anchoring

    Definition Classes
    CRFInference → CRF

  5. def annotate(datum: TaggedSequence[L, W], m: Marginal): TaggedSequence[L, W]

    Definition Classes
    CRFInference → AnnotatingInference

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def baseAugment(v: TaggedSequence[L, W]): CRF.Anchoring[L, W]

    The "no prior information" augment.

    The "no prior information" augment. Used if nothing is passed in.

    Definition Classes
    CRFInference → AugmentableInference

  8. def bestSequence(w: IndexedSeq[W], id: String = ""): TaggedSequence[L, W]

    Definition Classes
    CRF

  9. def clone(): AnyRef

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

  10. def emptyCounts: StandardExpectedCounts[Feature]

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

    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  13. val featureIndex: Index[Feature]

  14. def finalize(): Unit

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

  15. def forTesting: AugmentableInference[TaggedSequence[L, W], CRF.Anchoring[L, W]]

    Definition Classes
    AugmentableInference → Inference

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

    Definition Classes
    AnyRef → Any

  17. def goldMarginal(scorer: Scorer, v: TaggedSequence[L, W], aug: CRF.Anchoring[L, W]): Marginal

    Definition Classes
    CRFInference → AugmentableInference

  18. def goldMarginal(tags: IndexedSeq[L], w: IndexedSeq[W]): CRF.Marginal[L, W]

    Definition Classes
    CRF

  19. def goldMarginal(scorer: Scorer, v: TaggedSequence[L, W]): Marginal

    Produces the "gold marginal" which is the marginal conditioned on the output label/structure itself.

    Produces the "gold marginal" which is the marginal conditioned on the output label/structure itself.

    v

    the example

    returns

    gold marginal

    Definition Classes
    AugmentableInference → Inference

  20. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  21. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  22. def labelIndex: Index[L]

    Definition Classes
    CRFInference → CRF

  23. val lexicon: Factory[L, W]

  24. def marginal(scorer: Scorer, v: TaggedSequence[L, W], aug: CRF.Anchoring[L, W]): CRF.Marginal[L, W]

    Definition Classes
    CRFInference → AugmentableInference

  25. def marginal(w: IndexedSeq[W]): CRF.Marginal[L, W]

    Definition Classes
    CRF

  26. def marginal(scorer: Scorer, v: TaggedSequence[L, W]): Marginal

    Produces the "guess marginal" which is the marginal conditioned on only the input data

    Produces the "guess marginal" which is the marginal conditioned on only the input data

    v

    the example

    returns

    gold marginal

    Definition Classes
    AugmentableInference → Inference

  27. def marginal(v: TaggedSequence[L, W]): Marginal

    Definition Classes
    Inference

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

    Definition Classes
    AnyRef

  29. final def notify(): Unit

    Definition Classes
    AnyRef

  30. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  31. def posteriorDecode(m: Marginal): TaggedSequence[L, W]

  32. def scorer(v: TaggedSequence[L, W]): Scorer

    Definition Classes
    CRFInference → AugmentableInference → Inference

  33. def startSymbol: L

    Definition Classes
    CRFInference → CRF

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

    Definition Classes
    AnyRef

  35. def toString(): String

    Definition Classes
    AnyRef → Any

  36. def viterbi(sentence: IndexedSeq[W], anchoring: CRF.Anchoring[L, W]): TaggedSequence[L, W]

  37. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  40. val weights: DenseVector[Double]

Inherited from AnnotatingInference[TaggedSequence[L, W]]

Inherited from CRF[L, W]

Inherited from AugmentableInference[TaggedSequence[L, W], CRF.Anchoring[L, W]]

Inherited from Inference[TaggedSequence[L, W]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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