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object CubicRegression extends ModelFactory

The CubicRegression companion object provides methods for creating functional forms.

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  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  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(x: MatriD, y: VectoD, fname: Strings, hparam: HyperParameter, technique: RegTechnique.RegTechnique): CubicRegression

    Create a CubicRegression object from a data matrix and a response vector.

    Create a CubicRegression object from a data matrix and a response vector. This factory function provides data rescaling.

    x

    the initial data/input matrix (before quadratic term expansion)

    y

    the response/output m-vector

    fname

    the feature/variable names (use null for default)

    hparam

    the hyper-parameters (use null for default)

    technique

    the technique used to solve for b in x.t*x*b = x.t*y (use OR for default)

    See also

    ModelFactory

  6. def apply(xy: MatriD, fname: Strings = null, hparam: HyperParameter = null, technique: RegTechnique.RegTechnique = QR): CubicRegression

    Create a CubicRegression object from a combined data-response matrix.

    Create a CubicRegression object from a combined data-response matrix.

    xy

    the initial combined data-response matrix (before quadratic term expansion)

    hparam

    the hyper-parameters

    technique

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

  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
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    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  9. val drp: (Null, Null, RegTechnique.Value)
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  13. def forms(v: VectoD, k: Int, nt: Int): VectoD

    Given a vector/point 'p', compute the values for all of its cubic, quadratic, linear and constant forms/terms, returning them as a vector.

    Given a vector/point 'p', compute the values for all of its cubic, quadratic, linear and constant forms/terms, returning them as a vector. for 1D: v = (x_0) => 'VectorD (1, x_0, x_02, x_03)' for 2D: v = (x_0, x_1) => 'VectorD (1, x_0, x_02, x_03, x_1, x_12, x_13, x_0*x_1)'

    v

    the source vector/point for creating forms/terms

    k

    number of features/predictor variables (not counting intercept)

    nt

    the number of terms

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

    The number of cubic, quadratic, linear and constant forms/terms (4, 8, 13, 19, ...).

    The number of cubic, quadratic, linear and constant forms/terms (4, 8, 13, 19, ...).

    k

    number of features/predictor variables (not counting intercept)

    Definition Classes
    CubicRegression → ModelFactory
  21. 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
  22. def rescaleOff(): Unit

    Turn rescaling off.

    Turn rescaling off.

    Definition Classes
    ModelFactory
  23. def rescaleOn(): Unit

    Turn rescaling on.

    Turn rescaling on.

    Definition Classes
    ModelFactory
  24. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  25. def toString(): String
    Definition Classes
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  26. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  27. final def wait(arg0: Long): Unit
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    @throws( ... ) @native()
  28. final def wait(): Unit
    Definition Classes
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    @throws( ... )

Deprecated Value Members

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

Inherited from ModelFactory

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