MachineLearningridge_regression Method

ILNumerics Ultimate VS Documentation

ILNumerics - Technical Application Development

Ordinary least squares regression/ ridge regression.

[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

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public static MachineLearningRidgeRegressionResult<double> ridge_regression(
	InArray<double> X,
	InArray<double> Y,
	BaseArray Degree,
	BaseArray Regularization
)

Public Shared Function ridge_regression ( 
	X As InArray(Of Double),
	Y As InArray(Of Double),
	Degree As BaseArray,
	Regularization As BaseArray
) As MachineLearningRidgeRegressionResult(Of Double)

Dim X As InArray(Of Double)
Dim Y As InArray(Of Double)
Dim Degree As BaseArray
Dim Regularization As BaseArray
Dim returnValue As MachineLearningRidgeRegressionResult(Of Double)

returnValue = MachineLearning.ridge_regression(X, 
	Y, Degree, Regularization)

Parameters

X: Type: ILNumericsInArrayDouble
Data matrix, data points in columns.
Y: Type: ILNumericsInArrayDouble
Training targets (or 'labels') corresponding to X.
Degree: Type: ILNumericsBaseArray
Highest degree of polynomials for the design matrix.
Regularization: Type: ILNumericsBaseArray
Regularization constant (usually some "small" summand for stabilizing the matrix inversion).

Return Value

Type: MachineLearningRidgeRegressionResultDouble
Train result used for applying the model to new data.

Remarks

[ILNumerics Machine Learning Toolbox]

Reference

MachineLearning Class

ILNumerics.Toolboxes Namespace

MachineLearningAddLanguageSpecificTextSet("LSTA6806FF_0?cpp=::|nu=.");ridge_regression Method

Parameters

Return Value

Reference

MachineLearningridge_regression Method