Class

axle.ml

LogisticRegression

Related Doc: package ml

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case class LogisticRegression[D, M](examples: List[D], numObservations: Int, observationExtractor: (D) ⇒ List[Double], objectiveExtractor: (D) ⇒ Boolean, α: Double = 0.1, numIterations: Int = 100)(implicit la: LinearAlgebra[M, Int, Int, Double]) extends Product with Serializable

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Instance Constructors

  1. new LogisticRegression(examples: List[D], numObservations: Int, observationExtractor: (D) ⇒ List[Double], objectiveExtractor: (D) ⇒ Boolean, α: Double = 0.1, numIterations: Int = 100)(implicit la: LinearAlgebra[M, Int, Int, Double])

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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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

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  4. def Jθ(X: M, θ: M, y: M): Double

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  5. val X: M

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )

  8. def cost(xi: M, θ: M, yi: Double): Double

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  9. def dθ(X: M, y: M, θ: M): M

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

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  11. val examples: List[D]

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  12. val featureNormalizer: LinearFeatureNormalizer[M]

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  13. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

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

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  16. def h(xi: M, θ: M): Double

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  17. val inputX: M

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  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  19. implicit val module: Module[M, Double]

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. val numIterations: Int

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  24. val numObservations: Int

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  25. val objectiveExtractor: (D) ⇒ Boolean

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  26. val observationExtractor: (D) ⇒ List[Double]

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  27. def predictedY(xi: M, θ: M): Boolean

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  28. implicit val ring: Ring[M]

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

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  30. final def wait(): Unit

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    @throws( ... )

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

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

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  33. val y: M

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  34. val α: Double

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  35. val θ: M

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  36. val θ0: M

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

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