nak.classify

kNearestNeighbor

class kNearestNeighbor[L, T, D] extends Classifier[L, T]

kNearestNeighbor 6/8/14

Linear Supertypes
Classifier[L, T], (T) ⇒ L, AnyRef, Any
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Inherited
  1. kNearestNeighbor
  2. Classifier
  3. Function1
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Visibility
  1. Public
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Instance Constructors

  1. new kNearestNeighbor(c: Iterable[Example[L, T]], k: Int = 1)(implicit dm: UImpl2[D, T, T, Double])

Type Members

  1. type DistanceResult = Iterable[(Example[L, T], Double)]

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 andThen[A](g: (L) ⇒ A): (T) ⇒ A

    Definition Classes
    Function1
    Annotations
    @unspecialized()

  5. def apply(o: T): L

    Return the most likely label

    Return the most likely label

    Definition Classes
    Classifier → Function1

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def classify(o: T): L

    Return the most likely label

    Return the most likely label

    Definition Classes
    Classifier

  8. def clone(): AnyRef

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

  9. def compose[A](g: (A) ⇒ T): (A) ⇒ L

    Definition Classes
    Function1
    Annotations
    @unspecialized()

  10. def distances(o: T): DistanceResult

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

    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  13. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  15. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  17. def map[M](f: (L) ⇒ M): Classifier[M, T]

    Transforms output labels L=>M.

    Transforms output labels L=>M. if f(x) is not one-to-one then the max of score from the L's are used.

    Definition Classes
    Classifier

  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. def scores(o: T): Counter[L, Double]

    For the observation, return the max voting label with prob = 1.

    For the observation, return the max voting label with prob = 1.0

    Definition Classes
    kNearestNeighbor → Classifier

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

    Definition Classes
    AnyRef

  23. def testLOO(): Double

  24. def toString(): String

    Definition Classes
    Function1 → AnyRef → Any

  25. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Classifier[L, T]

Inherited from (T) ⇒ L

Inherited from AnyRef

Inherited from Any

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