CochraneOrcutt

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. var addIntercept: Boolean

   Definition Classes

   RegressorFitter

7. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

8. var cacheHint: CacheHint

9. var calcCommonStatistics: Boolean

   Definition Classes

   LinearRegressorFitter

10. var calcStandardErrors: Boolean

    Definition Classes

    LinearRegressorFitter

11. def calculateCommonStatistics[M[K] <: LinearRegressorModel[K]](model: M[K], drmTarget: DrmLike[K], residuals: DrmLike[K]): M[K]

    Definition Classes

    LinearRegressorFitter

12. def calculateRho(errorDrm: DrmLike[K]): Double

13. def calculateStandardError[M[K] <: LinearRegressorModel[K]](X: DrmLike[K], drmTarget: DrmLike[K], drmXtXinv: Matrix, model: M[K]): M[K]

    Definition Classes

    LinearRegressorFitter

14. def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

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    Annotations

    @throws( ... )

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. def fit(drmFeatures: DrmLike[K], drmTarget: DrmLike[K], hyperparameters: (Symbol, Any)*): CochraneOrcuttModel[K]

    Definition Classes

    CochraneOrcutt → LinearRegressorFitter → SupervisedFitter

19. def fitPredict(drmX: DrmLike[K], drmTarget: DrmLike[K], hyperparameters: (Symbol, Any)*): DrmLike[K]

    Definition Classes

    RegressorFitter

20. def generateSummaryString[M[K] <: LinearRegressorModel[K]](model: M[K]): String

    Definition Classes

    LinearRegressorFitter

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

    Definition Classes

    AnyRef → Any

22. def hashCode(): Int

    Definition Classes

    AnyRef → Any

23. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

24. var iterations: Int

25. var model: RegressorModel[K]

    Definition Classes

    RegressorFitter

26. def modelPostprocessing[M[K] <: LinearRegressorModel[K]](model: M[K], X: DrmLike[K], drmTarget: DrmLike[K], drmXtXinv: Matrix): M[K]

    Definition Classes

    LinearRegressorFitter

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

    Definition Classes

    AnyRef

28. final def notify(): Unit

    Definition Classes

    AnyRef

29. final def notifyAll(): Unit

    Definition Classes

    AnyRef

30. var regressor: LinearRegressorFitter[K]

31. def setHyperparameters(hyperparameters: Map[Symbol, Any] = Map('foo -> None)): Unit

32. def setStandardHyperparameters(hyperparameters: Map[Symbol, Any] = Map('foo -> None)): Unit

    Definition Classes

    LinearRegressorFitter

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

    Definition Classes

    AnyRef

34. def toString(): String

    Definition Classes

    AnyRef → Any

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( ... )