nak.classify

LinearClassifier

class LinearClassifier[L, TW, TL, TF] extends Classifier[L, TF] with Serializable

A LinearClassifier is a multi-class classifier with decision function: \hat y_i = \arg\max_y w_y^T x_i + b_y

Annotations
@SerialVersionUID()
Linear Supertypes
Serializable, Serializable, Classifier[L, TF], (TF) ⇒ L, AnyRef, Any
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Inherited
  1. LinearClassifier
  2. Serializable
  3. Serializable
  4. Classifier
  5. Function1
  6. AnyRef
  7. Any
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Instance Constructors

  1. new LinearClassifier(featureWeights: TW, intercepts: TL)(implicit viewT2: <:<[TW, NumericOps[TW]], vspace: MutableTensorField[TL, L, Double], mulTensors: breeze.linalg.operators.OpMulMatrix.Impl2[TW, TF, TL])

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): (TF) ⇒ A

    Definition Classes
    Function1
    Annotations
    @unspecialized()

  5. def apply(o: TF): 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: TF): 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) ⇒ TF): (A) ⇒ L

    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. val featureWeights: TW

  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. val intercepts: TL

  17. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  18. def map[M](f: (L) ⇒ M): Classifier[M, TF]

    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

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

    Definition Classes
    AnyRef

  20. final def notify(): Unit

    Definition Classes
    AnyRef

  21. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    For the observation, return the score for each label that has a nonzero score.

    For the observation, return the score for each label that has a nonzero score.

    Definition Classes
    LinearClassifier → Classifier

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

    Definition Classes
    AnyRef

  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 Serializable

Inherited from Serializable

Inherited from Classifier[L, TF]

Inherited from (TF) ⇒ L

Inherited from AnyRef

Inherited from Any

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