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object Regression4TSy extends ModelFactory

The Regression4TSy companion object provides factory functions and functions for creating functional forms.

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  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##(): Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. def allForms(x: MatriD): MatriD

    Create all forms/terms for each row/point placing them in a new matrix.

    Create all forms/terms for each row/point placing them in a new matrix.

    x

    the original un-expanded input/data matrix

    Definition Classes
    ModelFactory
  5. def apply(y: VectoD, fname: Strings, hparam: HyperParameter, technique: RegTechnique.RegTechnique = QR): Regression4TSy

    Create a Regression4TSy object from a response vector.

    Create a Regression4TSy object from a response vector. This factory function provides data rescaling.

    y

    the output/response m-vector (before expansion)

    fname

    the feature/variable names (if null, use x_j's)

    hparam

    the hyper-parameters for the model/network

    technique

    the technique used to solve for b in x.t*x*b = x.t*y

    See also

    ModelFactory

  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def clone(): AnyRef
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    protected[lang]
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    AnyRef
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  11. def forms(xi: VectoD, k: Int, nt: Int): VectoD

    Given a vector/point 'v', compute the values for all of its forms/terms, returning them as a vector (assumes Regression with intercept).

    Given a vector/point 'v', compute the values for all of its forms/terms, returning them as a vector (assumes Regression with intercept). Override for expanded columns, e.g., QuadRegression.

    xi

    the vector/point (i-th row of x) for creating forms/terms

    k

    the number of features/predictor variables (not counting intercept)

    nt

    the number of terms

    Definition Classes
    ModelFactory
  12. final def getClass(): Class[_]
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    @native() @HotSpotIntrinsicCandidate()
  13. def hashCode(): Int
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  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
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  15. final def ne(arg0: AnyRef): Boolean
    Definition Classes
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  16. final def notify(): Unit
    Definition Classes
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  17. final def notifyAll(): Unit
    Definition Classes
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  18. def numTerms(k: Int): Int

    The number of terms include current value and lag one value.

    The number of terms include current value and lag one value. when there are no cross-terms.

    k

    number of features/predictor variables (not counting intercept)

    Definition Classes
    Regression4TSyModelFactory
  19. val rescale: Boolean

    The 'rescale' flag indicated whether the data is to be rescaled/normalized

    The 'rescale' flag indicated whether the data is to be rescaled/normalized

    Attributes
    protected
    Definition Classes
    ModelFactory
  20. def rescaleOff(): Unit

    Turn rescaling off.

    Turn rescaling off.

    Definition Classes
    ModelFactory
  21. def rescaleOn(): Unit

    Turn rescaling on.

    Turn rescaling on.

    Definition Classes
    ModelFactory
  22. def slope(y: VectoD, lag1: Int, lag2: Int): VectoD
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. def toString(): String
    Definition Classes
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  25. final def wait(arg0: Long, arg1: Int): Unit
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  26. final def wait(arg0: Long): Unit
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  27. final def wait(): Unit
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    @throws( ... )

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  1. def finalize(): Unit
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    protected[lang]
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from ModelFactory

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