Class

epic.sequences

CRFModel

Related Doc: package sequences

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

Annotations
@SerialVersionUID()
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
  2. All

Instance Constructors

  1. new CRFModel(featureIndex: Index[Feature], lexicon: Factory[L, W], featurizer: IndexedFeaturizer[L, W], initialWeights: (Feature) ⇒ Double = (_: Feature) => 0.0)

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Type Members

  1. type ExpectedCounts = StandardExpectedCounts[Feature]

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    Definition Classes
    ModelModel
  2. type Inference = CRFInference[L, W]

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    Definition Classes
    CRFModelModel
  3. type Marginal = CRF.Marginal[L, W]

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    Definition Classes
    CRFModelModel
  4. type Scorer = Anchoring[L, W]

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    Definition Classes
    CRFModelModel

Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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

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    Definition Classes
    AnyRef → Any
  4. def accumulateCounts(inf: Inference, s: Scorer, d: TaggedSequence[L, W], marg: Marginal, counts: ExpectedCounts, scale: Double): Unit

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

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    Definition Classes
    Model
  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. def cacheFeatureWeights(weights: DenseVector[Double], suffix: String = ""): Unit

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    Caches the weights using the cache broker.

    Caches the weights using the cache broker.

    Definition Classes
    Model
  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def emptyCounts: StandardExpectedCounts[Feature]

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    Definition Classes
    ModelModel
  10. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  12. final def expectedCounts(inf: Inference, d: TaggedSequence[L, W], scale: Double = 1.0): ExpectedCounts

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    Definition Classes
    Model
  13. def expectedCountsToObjective(ecounts: ExpectedCounts): (Double, DenseVector[Double])

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    Definition Classes
    ModelModel
  14. def extractCRF(weights: DenseVector[Double]): Inference

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  15. val featureIndex: Index[Feature]

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    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.

    Definition Classes
    CRFModelModel
  16. val featurizer: IndexedFeaturizer[L, W]

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  17. def finalize(): Unit

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

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    Definition Classes
    AnyRef → Any
  19. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  20. def inferenceFromWeights(weights: DenseVector[Double]): Inference

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    Definition Classes
    CRFModelModel
  21. def initialValueForFeature(f: Feature): Double

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    Definition Classes
    CRFModelModel
  22. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  23. def labelIndex: Index[L]

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  24. val lexicon: Factory[L, W]

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  25. def logger: Logger

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    Definition Classes
    SafeLogging
  26. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  29. def numFeatures: Int

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    Definition Classes
    Model
  30. def readCachedFeatureWeights(suffix: String = ""): Option[DenseVector[Double]]

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

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    Definition Classes
    AnyRef
  32. def toString(): String

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    Definition Classes
    AnyRef → Any
  33. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  36. def weightsCacheName: String

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    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

Ungrouped