DiscriminantAnalysisClassify Method (Double, Int32, Int32, Double) |
Classify a set of observations and associated frequencies and weights
using the linear or quadratic discriminant functions generated
during the training process.
Namespace: Imsl.StatAssembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0
Syntax public void Classify(
double[,] x,
int[] varIndex,
int[] frequencies,
double[] weights
)
Public Sub Classify (
x As Double(,),
varIndex As Integer(),
frequencies As Integer(),
weights As Double()
)
public:
void Classify(
array<double,2>^ x,
array<int>^ varIndex,
array<int>^ frequencies,
array<double>^ weights
)
member Classify :
x : float[,] *
varIndex : int[] *
frequencies : int[] *
weights : float[] -> unit
Parameters
- 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 in x 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.
- frequencies
- Type: SystemInt32
An int array containing the associated
frequencies for each observation.
- weights
- Type: SystemDouble
A double array containing the associated
weights for each observation.
Exceptions Remarks An InvalidOperationException is thrown if the
leave-out-one classification method is chosen.
See Also