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

Namespace: Imsl.Stat
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.0.0

Syntax

C#
public void Classify(
	double[,] x,
	int[] varIndex,
	int[] frequencies,
	double[] weights
)
Visual Basic (Declaration)
Public Sub Classify ( _
	x As Double(,), _
	varIndex As Integer(), _
	frequencies As Integer(), _
	weights As Double() _
)
Visual C++
public:
void Classify(
	array<double,2>^ x, 
	array<int>^ varIndex, 
	array<int>^ frequencies, 
	array<double>^ weights
)

Parameters

x
Type: array< System..::.Double ,2>[,](,)[,]
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 in x will be ignored.
varIndex
Type: array< System..::.Int32 >[]()[]
An int array containing the column indices in x that correspond to the variables to be used in the analysis.
frequencies
Type: array< System..::.Int32 >[]()[]
An int array containing the associated frequencies for each observation.
weights
Type: array< System..::.Double >[]()[]
A double array containing the associated weights for each observation.

Remarks

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

Exceptions

ExceptionCondition
Imsl.Stat..::.SumOfWeightsNegException is thrown when the sum of the weights have become negative.
Imsl.Stat..::.EmptyGroupExceptionis thrown when there are no observations in a group.
Imsl.Stat..::.CovarianceSingularException is thrown when the variance-covariance matrix is singular.

See Also