nak.classify.LogisticClassifier.Trainer

ObjectiveFunction

class ObjectiveFunction extends BatchDiffFunction[LFMatrix[L, TF]]

Attributes
protected
Linear Supertypes
BatchDiffFunction[LFMatrix[L, TF]], (LFMatrix[L, TF], IndexedSeq[Int]) ⇒ Double, DiffFunction[LFMatrix[L, TF]], StochasticDiffFunction[LFMatrix[L, TF]], (LFMatrix[L, TF]) ⇒ Double, AnyRef, Any
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Inherited
  1. ObjectiveFunction
  2. BatchDiffFunction
  3. Function2
  4. DiffFunction
  5. StochasticDiffFunction
  6. Function1
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ObjectiveFunction(data: IndexedSeq[Example[L, TF]], labelIndex: Index[L])

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. def andThen[A](g: (Double) ⇒ A): (LFMatrix[L, TF]) ⇒ A

    Definition Classes
    Function1
    Annotations
    @unspecialized()

  7. def apply(x: LFMatrix[L, TF], batch: IndexedSeq[Int]): Double

    Definition Classes
    BatchDiffFunction → Function2

  8. final def apply(x: LFMatrix[L, TF]): Double

    Definition Classes
    StochasticDiffFunction → Function1

  9. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  10. def calculate(weights: LFMatrix[L, TF], range: IndexedSeq[Int]): (Double, LFMatrix[L, TF])

    Definition Classes
    ObjectiveFunction → BatchDiffFunction

  11. def calculate(x: LFMatrix[L, TF]): (Double, LFMatrix[L, TF])

    Definition Classes
    BatchDiffFunction → StochasticDiffFunction

  12. def clone(): AnyRef

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

  13. def compose[A](g: (A) ⇒ LFMatrix[L, TF]): (A) ⇒ Double

    Definition Classes
    Function1
    Annotations
    @unspecialized()

  14. def curried: (LFMatrix[L, TF]) ⇒ (IndexedSeq[Int]) ⇒ Double

    Definition Classes
    Function2
    Annotations
    @unspecialized()

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

    Definition Classes
    AnyRef

  16. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  17. def finalize(): Unit

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

  18. val fullRange: Range

    Definition Classes
    ObjectiveFunction → BatchDiffFunction

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

    Definition Classes
    AnyRef → Any

  20. def gradientAt(x: LFMatrix[L, TF]): LFMatrix[L, TF]

    Definition Classes
    BatchDiffFunction → StochasticDiffFunction

  21. def gradientAt(x: LFMatrix[L, TF], batch: IndexedSeq[Int]): LFMatrix[L, TF]

    Definition Classes
    BatchDiffFunction

  22. def groupItems(groupSize: Int): BatchDiffFunction[LFMatrix[L, TF]]

    Definition Classes
    BatchDiffFunction

  23. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  24. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  25. def logScores(weights: LFMatrix[L, TF], datum: TF): DenseVector[Double]

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

    Definition Classes
    AnyRef

  27. final def notify(): Unit

    Definition Classes
    AnyRef

  28. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  30. def throughLens[U](implicit l: Isomorphism[LFMatrix[L, TF], U]): DiffFunction[U]

    Definition Classes
    StochasticDiffFunction

  31. def toString(): String

    Definition Classes
    Function2 → AnyRef → Any

  32. def tupled: ((LFMatrix[L, TF], IndexedSeq[Int])) ⇒ Double

    Definition Classes
    Function2
    Annotations
    @unspecialized()

  33. def valueAt(x: LFMatrix[L, TF]): Double

    Definition Classes
    BatchDiffFunction → StochasticDiffFunction

  34. def valueAt(x: LFMatrix[L, TF], batch: IndexedSeq[Int]): Double

    Definition Classes
    BatchDiffFunction

  35. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  38. def withRandomBatches(size: Int): StochasticDiffFunction[LFMatrix[L, TF]]

    Definition Classes
    BatchDiffFunction

  39. def withScanningBatches(size: Int): StochasticDiffFunction[LFMatrix[L, TF]]

    Definition Classes
    BatchDiffFunction

Inherited from BatchDiffFunction[LFMatrix[L, TF]]

Inherited from (LFMatrix[L, TF], IndexedSeq[Int]) ⇒ Double

Inherited from DiffFunction[LFMatrix[L, TF]]

Inherited from StochasticDiffFunction[LFMatrix[L, TF]]

Inherited from (LFMatrix[L, TF]) ⇒ Double

Inherited from AnyRef

Inherited from Any

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