MachineLearningkrr Method (InArrayDouble, InArrayDouble, KRRTypes, InArrayDouble, InArrayDouble)

ILNumerics Ultimate VS Documentation

ILNumerics - Technical Application Development

Calculates the kernel ridge regression (KRR) of X to Y.

[ILNumerics Machine Learning Toolbox]

Namespace: ILNumerics.Toolboxes
Assembly: ILNumerics.Toolboxes.MachineLearning (in ILNumerics.Toolboxes.MachineLearning.dll) Version: 5.5.0.0 (5.5.7503.3146)

Syntax

Copy

public static Result<double> krr(
	InArray<double> X,
	InArray<double> Y,
	KRRTypes kernel,
	InArray<double> Kernelparam,
	InArray<double> Regularization
)

Public Shared Function krr ( 
	X As InArray(Of Double),
	Y As InArray(Of Double),
	kernel As KRRTypes,
	Kernelparam As InArray(Of Double),
	Regularization As InArray(Of Double)
) As Result(Of Double)

Dim X As InArray(Of Double)
Dim Y As InArray(Of Double)
Dim kernel As KRRTypes
Dim Kernelparam As InArray(Of Double)
Dim Regularization As InArray(Of Double)
Dim returnValue As Result(Of Double)

returnValue = MachineLearning.krr(X, Y, kernel, 
	Kernelparam, Regularization)

Parameters

X: Type: ILNumericsInArrayDouble
Input data X, observations in columns.
Y: Type: ILNumericsInArrayDouble
Input data Y (regression target).
kernel: Type: ILNumerics.ToolboxesKRRTypes
Kernel type to use.
Kernelparam: Type: ILNumericsInArrayDouble
Kernel parameters, scalar constant, if invalid: defaults to 1.
Regularization: Type: ILNumericsInArrayDouble
Regularization constant (set to -1 to have no regularization).

Return Value

Type: ResultDouble
The kernel ridge regression model.

Remarks

[ILNumerics Machine Learning Toolbox]

Reference

MachineLearning Class

krr Overload

ILNumerics.Toolboxes Namespace