nak.core

IndexedClassifier

trait IndexedClassifier[L] extends Classifier with LabelMap[L] with FeatureMap

A classifier that knows the actual descriptions of the labels and features, rather than just their indices.

Linear Supertypes
FeatureMap, LabelMap[L], Classifier, Serializable, Serializable, (Array[(Int, Double)]) ⇒ Array[Double], AnyRef, Any
Known Subclasses
FeaturizedClassifier, LiblinearClassifier
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Inherited
  1. IndexedClassifier
  2. FeatureMap
  3. LabelMap
  4. Classifier
  5. Serializable
  6. Serializable
  7. Function1
  8. AnyRef
  9. Any
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Abstract Value Members

  1. abstract def apply(v1: Array[(Int, Double)]): Array[Double]

    Definition Classes
    Function1

  2. abstract def indexOfFeature(feature: String): Option[Int]

    Definition Classes
    FeatureMap

  3. abstract def indexOfLabel(label: L): Int

    Definition Classes
    LabelMap

  4. abstract def labelOfIndex(index: Int): L

    Definition Classes
    LabelMap

  5. abstract def labels: Seq[L]

    Definition Classes
    LabelMap

Concrete 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 andThen[A](g: (Array[Double]) ⇒ A): (Array[(Int, Double)]) ⇒ A

    Definition Classes
    Function1
    Annotations
    @unspecialized()

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. def clone(): AnyRef

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

  9. def compose[A](g: (A) ⇒ Array[(Int, Double)]): (A) ⇒ Array[Double]

    Definition Classes
    Function1
    Annotations
    @unspecialized()

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

    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  12. def evalIndexed(observations: Seq[FeatureObservation[Int]]): Array[Double]

    Evaluate the given indexed feature observations.

    Evaluate the given indexed feature observations. Calls the apply method, which must interface with some underlying representation of the system used; e.g. see the LiblinearClassifier class.

    Definition Classes
    Classifier

  13. def evalUnindexed(observations: Seq[FeatureObservation[String]]): Array[Double]

    Evaluate the un-indexed feature observations.

    Evaluate the un-indexed feature observations. Uses the feature map to index the observations and then pass them on to evalIndexed of Classifier.

  14. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  16. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  17. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  19. final def notify(): Unit

    Definition Classes
    AnyRef

  20. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  22. def toString(): String

    Definition Classes
    Function1 → AnyRef → Any

  23. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from FeatureMap

Inherited from LabelMap[L]

Inherited from Classifier

Inherited from Serializable

Inherited from Serializable

Inherited from (Array[(Int, Double)]) ⇒ Array[Double]

Inherited from AnyRef

Inherited from Any

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