CreateLdaTransformViaComponentNum
Create an LDA-based feature transform from the provided data where the number of components to be used is predefined. The number of samples must be >= the number of features and the number of classes must be >= 2. The initial reference count is set to one if a new model is created and kept, otherwise.
Syntax
Definition:
HRESULT CreateLdaTransformViaComponentNum(
HRESULT hrPrev,
ITcVnMlModel*& ipMlModel,
ITcUnknown* ipSamples,
ITcVnContainer* ipClasses,
ULONG nComponentNum
)Parameters
|
Name |
Type |
Description |
|---|---|---|
|
hrPrev |
HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.) | |
|
ipMlModel |
Returns the created feature transform (Non-zero interface pointers are reused.) | |
|
ipSamples |
Container holding a batch of input samples (ContainerType_Vector_Vector_REAL or ContainerType_Vector_Vector_LREAL) | |
|
ipClasses |
Class labels corresponding to the input samples (ContainerType_Vector_DINT) | |
|
nComponentNum |
ULONG |
Number of components (nComponentNum must be smaller than the number of classes. A value of 0 results in the automatic computation of the maximum number of components.) |
Return valueRequired License
TC3 Machine Learning Realtime Inference