Class

org.clulab.learning

BVFDataset

Related Doc: package learning

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class BVFDataset[L, F] extends Dataset[L, F]

Dataset containing only BVFDatums Important note: to encode feature values > 1, simply store the same feature multiple times (equal to feature value)!

L

Type of labels

F

Type of features

Linear Supertypes
Dataset[L, F], Serializable, Serializable, AnyRef, Any
Known Subclasses
RVFDataset
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Inherited
  1. BVFDataset
  2. Dataset
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new BVFDataset()

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  2. new BVFDataset(ll: Lexicon[L], fl: Lexicon[F], ls: ArrayBuffer[Int], features: ArrayBuffer[Array[Int]])

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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. def +=(datum: Datum[L, F]): Unit

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    Definition Classes
    BVFDataset → Dataset

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

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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

  7. def computeInformationGains(fs: ArrayBuffer[Array[Int]], ls: ArrayBuffer[Int]): (InformationGain, Map[Int, InformationGain])

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  8. def countFeatures(fs: ArrayBuffer[Array[Int]], threshold: Int): Set[Int]

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

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    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  11. val featureLexicon: Lexicon[F]

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    Definition Classes
    Dataset

  12. val features: ArrayBuffer[Array[Int]]

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  13. def featuresCounter(datumOffset: Int): Counter[Int]

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    Definition Classes
    BVFDataset → Dataset

  14. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  16. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  17. def indices: Range

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    Definition Classes
    Dataset

  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  19. def keepOnly(featuresToKeep: Set[Int]): Dataset[L, F]

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    Creates a new dataset keeping only the features in the given set

    Creates a new dataset keeping only the features in the given set

    Definition Classes
    BVFDataset → Dataset

  20. def keepOnlyRow(feats: Array[Int], featureIndexMap: HashMap[Int, Int]): Array[Int]

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  21. val labelLexicon: Lexicon[L]

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    Definition Classes
    Dataset

  22. val labels: ArrayBuffer[Int]

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    Definition Classes
    Dataset

  23. def mkDatum(row: Int): Datum[L, F]

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    Returns the Datum for given row

    Returns the Datum for given row

    Definition Classes
    BVFDataset → Dataset

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

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    Definition Classes
    AnyRef

  25. final def notify(): Unit

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    Definition Classes
    AnyRef

  26. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  27. def numFeatures: Int

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    Definition Classes
    Dataset

  28. def numLabels: Int

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    Definition Classes
    Dataset

  29. def removeFeaturesByFrequency(threshold: Int): Dataset[L, F]

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    Removes features that appear less than threshold times in this dataset.

    Removes features that appear less than threshold times in this dataset.

    Definition Classes
    BVFDataset → Dataset

  30. def removeFeaturesByInformationGain(pctToKeep: Double): Dataset[L, F]

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    Removes features by information gain.

    Removes features by information gain.

    Definition Classes
    BVFDataset → Dataset

  31. def size: Int

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    number of training examples

    number of training examples

    Definition Classes
    Dataset

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

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    Definition Classes
    AnyRef

  33. def toCounterDataset: CounterDataset[L, F]

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    Convert this dataset to a CounterDataset

    Convert this dataset to a CounterDataset

    Definition Classes
    BVFDataset → Dataset

  34. def toString(): String

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    Definition Classes
    AnyRef → Any

  35. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Dataset[L, F]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped