DiscriminantAnalysis.Classify Method (Double[,], Int32[])

DiscriminantAnalysisClassify Method (Double, Int32)

Classify a set of observations using the linear or quadratic discriminant functions generated during the training process.

Namespace: Imsl.Stat
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0

Syntax

public void Classify(
	double[,] x,
	int[] varIndex
)

Public Sub Classify ( 
	x As Double(,),
	varIndex As Integer()
)

public:
void Classify(
	array<double,2>^ x, 
	array<int>^ varIndex
)

member Classify : 
        x : float[,] * 
        varIndex : int[] -> unit

x: Type: SystemDouble
A double matrix containing the observations with at least nVariables columns. The columns indicated in varIndex correspond to the variables. Reclassification does not require group numbers be present. Additional columns will be ignored.
varIndex: Type: SystemInt32
An int array containing the column indices in x that correspond to the variables to be used in the analysis.

Exceptions

Exception	Condition
SumOfWeightsNegException	is thrown when the sum of the weights have become negative.
EmptyGroupException	is thrown when there are no observations in a group.
CovarianceSingularException	is thrown when the variance-covariance matrix is singular.

Remarks

An InvalidOperationException is thrown if the leave-out-one classification method is chosen.