ILNumerics Ultimate VS

MachineLearning.krr Method (InArray<Double>, InArray<Double>, KRRTypes, InArray<Double>, InArray<Double>)

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

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

Parameters

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

Return Value

Type: Result<Double>
The kernel ridge regression model.
Remarks

[ILNumerics Machine Learning Toolbox]

See Also

Reference