object PolyRegression extends ModelFactory
The PolyRegression companion object provides factory functions and functions
for creating functional forms.
- Alphabetic
- By Inheritance
- PolyRegression
- ModelFactory
- Error
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
allForms(x: MatriD, ord: Int): 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
- ord
the order (max degree) of the polynomial
-
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
-
def
apply(x: MatriD, y: VectoD, ord: Int, fname: Strings, hparam: HyperParameter, technique: RegTechnique.RegTechnique): PolyRegression
Create a
PolyRegressionobject from a data matrix and a response vector.Create a
PolyRegressionobject from a data matrix and a response vector. This factory function provides data rescaling.- x
the initial data/input matrix (before polynomial term expansion)
- y
the response/output m-vector
- ord
the order (k) of the polynomial (max degree)
- 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 Cholesky for default)
- See also
ModelFactory
-
def
apply(t: VectoD, y: VectoD, ord: Int, fname: Strings, hparam: HyperParameter, technique: RegTechnique.RegTechnique): PolyRegression
Create a
PolyRegressionobject from a combined data-response matrix.Create a
PolyRegressionobject from a combined data-response matrix.- t
the initial data/input vector: t_i expands to x_i = [1, t_i, t_i2, ... t_ik]
- y
the response/ouput vector
- ord
the order (k) of the polynomial (max degree)
- hparam
the hyper-parameters
- technique
the technique used to solve for b in x.t*x*b = x.t*y
-
def
apply(xy: MatriD, ord: Int, fname: Strings = null, hparam: HyperParameter = null, technique: RegTechnique.RegTechnique = Cholesky): PolyRegression
Create a
PolyRegressionobject from a combined data-response matrix.Create a
PolyRegressionobject from a combined data-response matrix.- xy
the initial combined data-response matrix (before polynomial term expansion)
- ord
the order (k) of the polynomial (max degree)
- hparam
the hyper-parameters
- technique
the technique used to solve for b in x.t*x*b = x.t*y
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native() @HotSpotIntrinsicCandidate()
- val drp: (Null, Null, RegTechnique.Value)
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
flaw(method: String, message: String): Unit
- Definition Classes
- Error
-
def
forms(v: VectoD, k: Int, nt: Int): VectoD
Given a 1-vector/point 'v', compute the values for all of its polynomial forms/terms, returning them as a vector.
Given a 1-vector/point 'v', compute the values for all of its polynomial forms/terms, returning them as a vector.
- v
the vector/point (i-th row of t) for creating forms/terms
- k
number of features/predictor variables (not counting intercept) = 1
- nt
the number of terms
- Definition Classes
- PolyRegression → ModelFactory
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
def
numTerms(k: Int): Int
The number of terms/parameters in the model (assumes
Regressionwith intercept.The number of terms/parameters in the model (assumes
Regressionwith intercept. Override for expanded columns, e.g.,QuadRegression.- k
the number of features/predictor variables (not counting intercept)
- Definition Classes
- ModelFactory
-
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
-
def
rescaleOff(): Unit
Turn rescaling off.
Turn rescaling off.
- Definition Classes
- ModelFactory
-
def
rescaleOn(): Unit
Turn rescaling on.
Turn rescaling on.
- Definition Classes
- ModelFactory
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
Deprecated Value Members
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] ) @Deprecated
- Deprecated