SVM.GetDecisionFunction Method

public double GetDecisionFunction(
	int i,
	OutputArray alpha,
	OutputArray svidx
)

Public Function GetDecisionFunction ( 
	i As Integer,
	alpha As OutputArray,
	svidx As OutputArray
) As Double

public:
double GetDecisionFunction(
	int i, 
	OutputArray^ alpha, 
	OutputArray^ svidx
)

member GetDecisionFunction : 
        i : int * 
        alpha : OutputArray * 
        svidx : OutputArray -> float 

function GetDecisionFunction(i, alpha, svidx);

Parameters

i

Type: System.Int32
i the index of the decision function. If the problem solved is regression, 1-class or 2-class classification, then there will be just one decision function and the index should always be 0. Otherwise, in the case of N-class classification, there will be N(N-1)/2 decision functions.

alpha

Type: OpenCvSharp.OutputArray
alpha the optional output vector for weights, corresponding to different support vectors. In the case of linear %SVM all the alpha's will be 1's.

svidx

Type: OpenCvSharp.OutputArray
the optional output vector of indices of support vectors within the matrix of support vectors (which can be retrieved by SVM::getSupportVectors). In the case of linear %SVM each decision function consists of a single "compressed" support vector.

Return Value

Reference