Class

axle.ml

LinearRegression

Related Doc: package ml

Permalink

case class LinearRegression[D, M](examples: Seq[D], numFeatures: Int, featureExtractor: (D) ⇒ Seq[Double], objectiveExtractor: (D) ⇒ Double, α: Double = 0.1, iterations: Int = 100)(implicit la: LinearAlgebra[M, Int, Int, Double]) extends Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. LinearRegression
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. AnyRef
  7. Any
  1. Hide All
  2. Show all
Visibility
  1. Public
  2. All

Instance Constructors

  1. new LinearRegression(examples: Seq[D], numFeatures: Int, featureExtractor: (D) ⇒ Seq[Double], objectiveExtractor: (D) ⇒ Double, α: Double = 0.1, iterations: Int = 100)(implicit la: LinearAlgebra[M, Int, Int, Double])

    Permalink

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Definition Classes
    AnyRef → Any

  4. val X: M

    Permalink

  5. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  6. def clone(): AnyRef

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

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

    Permalink

  8. def dTheta(X: M, y: M, θ: M): M

    Permalink

  9. def dθ(X: M, y: M, θ: M): M

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  11. def errTree: TreeMap[Int, Double]

    Permalink

  12. val errorLogReversed: List[Double]

    Permalink

  13. def estimate(observation: D): Double

    Permalink

  14. val examples: Seq[D]

    Permalink

  15. val featureExtractor: (D) ⇒ Seq[Double]

    Permalink

  16. val featureNormalizer: LinearFeatureNormalizer[M]

    Permalink

  17. def finalize(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink

  20. def h(xi: M, θ: M): M

    Permalink

  21. val inputX: M

    Permalink

  22. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

  23. val iterations: Int

    Permalink

  24. implicit val module: Module[M, Double]

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  26. def normalEquation(X: M, y: M): M

    Permalink

  27. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  28. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  29. val numFeatures: Int

    Permalink

  30. val objectiveExtractor: (D) ⇒ Double

    Permalink

  31. val objectiveNormalizer: LinearFeatureNormalizer[M]

    Permalink

  32. implicit val ring: Ring[M]

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  34. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  37. val y: M

    Permalink

  38. val α: Double

    Permalink

  39. val θ: M

    Permalink

  40. val θ0: M

    Permalink

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped