axle.ml

LogisticRegression

trait LogisticRegression extends AnyRef

Linear Supertypes
AnyRef, Any
Known Subclasses
LogisticRegression
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. Hide All
  2. Show all
  1. LogisticRegression
  2. AnyRef
  3. Any
Visibility
  1. Public
  2. All

Type Members

  1. type M [T] = JblasMatrix[T]

Value Members

  1. def != (arg0: AnyRef): Boolean

    Attributes
    final
    Definition Classes
    AnyRef

  2. def != (arg0: Any): Boolean

    Attributes
    final
    Definition Classes
    Any

  3. def ## (): Int

    Attributes
    final
    Definition Classes
    AnyRef → Any

  4. def == (arg0: AnyRef): Boolean

    Attributes
    final
    Definition Classes
    AnyRef

  5. def == (arg0: Any): Boolean

    Attributes
    final
    Definition Classes
    Any

  6. def Jθ (X: M[Double], θ: M[Double], y: M[Boolean]): Double

  7. def asInstanceOf [T0] : T0

    Attributes
    final
    Definition Classes
    Any

  8. def clone (): AnyRef

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

  9. def cost (xi: M[Double], θ: M[Double], yi: Boolean): Double

  10. def dθ (X: M[Double], y: M[Boolean], θ: M[Double]): M[Double]

  11. def eq (arg0: AnyRef): Boolean

    Attributes
    final
    Definition Classes
    AnyRef

  12. def equals (arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  13. def finalize (): Unit

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

  14. def getClass (): java.lang.Class[_]

    Attributes
    final
    Definition Classes
    AnyRef → Any

  15. def gradientDescent (X: M[Double], y: M[Boolean], θ: M[Double], α: Double, iterations: Int): M[Double]

  16. def h (xi: M[Double], θ: M[Double]): Double

  17. def hashCode (): Int

    Definition Classes
    AnyRef → Any

  18. def isInstanceOf [T0] : Boolean

    Attributes
    final
    Definition Classes
    Any

  19. def ne (arg0: AnyRef): Boolean

    Attributes
    final
    Definition Classes
    AnyRef

  20. def notify (): Unit

    Attributes
    final
    Definition Classes
    AnyRef

  21. def notifyAll (): Unit

    Attributes
    final
    Definition Classes
    AnyRef

  22. def predictedY (xi: M[Double], θ: M[Double]): Boolean

  23. def regression [D] (examples: List[D], numObservations: Int, observationExtractor: (D) ⇒ List[Double], objectiveExtractor: (D) ⇒ Boolean, α: Double, numIterations: Int): (M[Double], LinearFeatureNormalizer)

  24. def synchronized [T0] (arg0: ⇒ T0): T0

    Attributes
    final
    Definition Classes
    AnyRef

  25. def toString (): String

    Definition Classes
    AnyRef → Any

  26. def wait (): Unit

    Attributes
    final
    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Attributes
    final
    Definition Classes
    AnyRef
    Annotations
    @throws()

  28. def wait (arg0: Long): Unit

    Attributes
    final
    Definition Classes
    AnyRef
    Annotations
    @throws()

Inherited from AnyRef

Inherited from Any