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
Exceptions
See Also