epic.sequences

CRFModel

class CRFModel[L, W] extends Model[TaggedSequence[L, W]] with Model[TaggedSequence[L, W]] with Serializable

Annotations
@SerialVersionUID( 1L )
Linear Supertypes
Serializable, Serializable, Model[TaggedSequence[L, W]], Model[TaggedSequence[L, W]], SafeLogging, AnyRef, Any
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Inherited
  1. CRFModel
  2. Serializable
  3. Serializable
  4. Model
  5. Model
  6. SafeLogging
  7. AnyRef
  8. Any
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Visibility
  1. Public
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Instance Constructors

  1. new CRFModel(featureIndex: Index[Feature], lexicon: Factory[L, W], featurizer: IndexedFeaturizer[L, W], initialWeights: (Feature) ⇒ Double = ...)

Type Members

  1. type ExpectedCounts = StandardExpectedCounts[Feature]

    Definition Classes
    Model → Model

  2. type Inference = CRFInference[L, W]

    Definition Classes
    CRFModel → Model

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

    Definition Classes
    CRFModel → Model

  4. type Scorer = Anchoring[L, W]

    Definition Classes
    CRFModel → Model

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 accumulateCounts(inf: Inference, s: Scorer, d: TaggedSequence[L, W], marg: Marginal, counts: ExpectedCounts, scale: Double): Unit

    Definition Classes
    CRFModel → Model

  7. final def accumulateCounts(inf: Inference, d: TaggedSequence[L, W], accum: ExpectedCounts, scale: Double): Unit

    Definition Classes
    Model

  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  9. def cacheFeatureWeights(weights: DenseVector[Double], suffix: String = ""): Unit

    Caches the weights using the cache broker.

    Caches the weights using the cache broker.

    Definition Classes
    Model

  10. def clone(): AnyRef

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

  11. def emptyCounts: StandardExpectedCounts[Feature]

    Definition Classes
    Model → Model

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

    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  14. final def expectedCounts(inf: Inference, d: TaggedSequence[L, W], scale: Double = 1.0): ExpectedCounts

    Definition Classes
    Model

  15. def expectedCountsToObjective(ecounts: ExpectedCounts): (Double, DenseVector[Double])

    Definition Classes
    Model → Model

  16. def extractCRF(weights: DenseVector[Double]): Inference

  17. val featureIndex: Index[Feature]

    Models have features, and this defines the mapping from indices in the weight vector to features.

    Models have features, and this defines the mapping from indices in the weight vector to features.

    returns

    Definition Classes
    CRFModel → Model

  18. val featurizer: IndexedFeaturizer[L, W]

  19. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  21. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  22. def inferenceFromWeights(weights: DenseVector[Double]): Inference

    Definition Classes
    CRFModel → Model

  23. def initialValueForFeature(f: Feature): Double

    Definition Classes
    CRFModel → Model

  24. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  25. def labelIndex: Index[L]

  26. val lexicon: Factory[L, W]

  27. def logger: Logger

    Definition Classes
    SafeLogging

  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 numFeatures: Int

    Definition Classes
    Model

  32. def readCachedFeatureWeights(suffix: String = ""): Option[DenseVector[Double]]

    just saves feature weights to disk as a serialized counter.

    just saves feature weights to disk as a serialized counter. The file is prefix.ser.gz

    Definition Classes
    Model

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

    Definition Classes
    AnyRef

  34. def toString(): String

    Definition Classes
    AnyRef → Any

  35. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  38. def weightsCacheName: String

    Attributes
    protected
    Definition Classes
    Model

Inherited from Serializable

Inherited from Serializable

Inherited from Model[TaggedSequence[L, W]]

Inherited from Model[TaggedSequence[L, W]]

Inherited from SafeLogging

Inherited from AnyRef

Inherited from Any

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