PLS2CrossValidationWithJackknife(ICrossValidationSubsets, Boolean) Constructor

Constructs a PLS2CrossValidationWithJackknife instance which uses the given subset generator and the Nipals algorithm. No scaling and full model coefficients will be used in the jackknife coefficient variance estimate computation. No scaling will be done and full model coefficients will be used in the jackknife coefficient variance estimate computation.

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4

Syntax

C++

Copy

public PLS2CrossValidationWithJackknife(
	ICrossValidationSubsets subsetGenerator,
	bool scale
)

Public Sub New ( 
	subsetGenerator As ICrossValidationSubsets,
	scale As Boolean
)

public:
PLS2CrossValidationWithJackknife(
	ICrossValidationSubsets^ subsetGenerator, 
	bool scale
)

new : 
        subsetGenerator : ICrossValidationSubsets * 
        scale : bool -> PLS2CrossValidationWithJackknife

Parameters

subsetGenerator ICrossValidationSubsets: Implementation of the ICrossValidationSubsets interface that will be used to generate the training and testing subsets.
scale Boolean: If true, the learning X data for each subset is scaled by dividing each variable by its sample standard deviation. The prediction data is scaled by the same amount. Note that this will impact performance.

Reference

PLS2CrossValidationWithJackknife Class

PLS2CrossValidationWithJackknife Overload

CenterSpace.NMath.Core Namespace