epic.preprocess.MLSentenceSegmenter

ClassificationModel

class ClassificationModel extends Model[SentenceDecisionInstance]

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Instance Constructors

  1. new ClassificationModel(featureIndex: Index[Feature])

Type Members

  1. type ExpectedCounts = StandardExpectedCounts[Feature]

    Definition Classes
    ModelModel
  2. type Inference = ClassificationInference

    Definition Classes
    ClassificationModelModel
  3. type Marginal = MLSentenceSegmenter.Marginal

    Definition Classes
    ClassificationModelModel
  4. type Scorer = ClassificationInference

    Definition Classes
    ClassificationModelModel

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: SentenceDecisionInstance, m: Marginal, accum: ExpectedCounts, scale: Double): Unit

    Definition Classes
    ClassificationModelModel
  5. final def accumulateCounts(inf: Inference, d: SentenceDecisionInstance, accum: ExpectedCounts, scale: Double): Unit

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

    Definition Classes
    Any
  7. 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
  8. def clone(): AnyRef

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

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

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

    Definition Classes
    AnyRef → Any
  12. final def expectedCounts(inf: Inference, d: SentenceDecisionInstance, scale: Double = 1.0): ExpectedCounts

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

    Definition Classes
    ModelModel
  14. 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
    ClassificationModelModel
  15. def finalize(): Unit

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

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

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

    Definition Classes
    ClassificationModelModel
  19. def initialValueForFeature(f: Feature): Double

    Definition Classes
    ClassificationModelModel
  20. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  21. def logger: Logger

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

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

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

    Definition Classes
    AnyRef
  25. def numFeatures: Int

    Definition Classes
    Model
  26. 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
  27. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  28. def toString(): String

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

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

    Definition Classes
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    @throws( ... )
  31. final def wait(arg0: Long): Unit

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

    Attributes
    protected
    Definition Classes
    Model

Inherited from SafeLogging

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