c

epic.parser.models

SpanModel

class SpanModel[L, L2, W] extends ParserModel[L, W] with Serializable

A rather more sophisticated discriminative parser. Uses features on the underlying span.

Annotations
@SerialVersionUID()
Linear Supertypes
ParserModel[L, W], ParserExtractable[L, W], Model[TreeInstance[L, W]], Model[TreeInstance[L, W]], SerializableLogging, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. SpanModel
  2. ParserModel
  3. ParserExtractable
  4. Model
  5. Model
  6. SerializableLogging
  7. Serializable
  8. Serializable
  9. AnyRef
  10. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new SpanModel(featurizer: RefinedFeaturizer[L, W, Feature], featureIndex: Index[Feature], annotator: (BinarizedTree[L], IndexedSeq[W]) ⇒ BinarizedTree[IndexedSeq[L2]], constrainer: Factory[L, W], topology: RuleTopology[L], lexicon: Lexicon[L, W], refinedGrammar: RuleTopology[L2], refinements: GrammarRefinements[L, L2], initialFeatureVal: (Feature) ⇒ Option[Double] = _ => None)

Type Members

  1. type ExpectedCounts = StandardExpectedCounts[Feature]
    Definition Classes
    Model → Model
  2. type Inference = LatentParserInference[L, L2, W]
    Definition Classes
    SpanModel → ParserModel → Model
  3. type Marginal = ParseMarginal[L, W]
    Definition Classes
    ParserModel → Model
  4. type Scorer = GrammarAnchoring[L, W]
    Definition Classes
    ParserModel → Model

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 accumulateCounts(inf: Inference, s: Scorer, d: TreeInstance[L, W], m: Marginal, accum: ExpectedCounts, scale: Double): Unit
    Definition Classes
    SpanModel → Model
  5. final def accumulateCounts(inf: Inference, d: TreeInstance[L, W], accum: ExpectedCounts, scale: Double): Unit
    Definition Classes
    Model
  6. val annotator: (BinarizedTree[L], IndexedSeq[W]) ⇒ BinarizedTree[IndexedSeq[L2]]
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. 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
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. val constrainer: Factory[L, W]
    Definition Classes
    SpanModel → ParserExtractable
  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: TreeInstance[L, W], scale: Double = 1.0): ExpectedCounts
    Definition Classes
    Model
  15. def expectedCountsToObjective(ecounts: ExpectedCounts): (Double, DenseVector[Double])
    Definition Classes
    Model → Model
  16. def extractParser(weights: DenseVector[Double])(implicit deb: Debinarizer[L]): Parser[L, W]
    Definition Classes
    ParserModel → ParserExtractable
  17. val featureIndex: Index[Feature]
    Definition Classes
    SpanModel → Model
  18. val featurizer: RefinedFeaturizer[L, W, Feature]
  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]): LatentParserInference[L, L2, W]
    Definition Classes
    SpanModel → Model
  23. def initialValueForFeature(f: Feature): Double
    Definition Classes
    SpanModel → Model
  24. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  25. val lexicon: Lexicon[L, W]
    Definition Classes
    SpanModel → ParserExtractable
  26. def logger: LazyLogger
    Attributes
    protected
    Definition Classes
    SerializableLogging
  27. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  28. final def notify(): Unit
    Definition Classes
    AnyRef
  29. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  30. def numFeatures: Int
    Definition Classes
    Model
  31. 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
  32. val refinedGrammar: RuleTopology[L2]
  33. val refinements: GrammarRefinements[L, L2]
  34. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  35. def toString(): String
    Definition Classes
    AnyRef → Any
  36. val topology: RuleTopology[L]
    Definition Classes
    SpanModel → ParserExtractable
  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. def weightsCacheName: String
    Attributes
    protected
    Definition Classes
    Model

Inherited from ParserModel[L, W]

Inherited from ParserExtractable[L, W]

Inherited from Model[TreeInstance[L, W]]

Inherited from Model[TreeInstance[L, W]]

Inherited from SerializableLogging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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