PredictSampleClass
Classify a single sample.
Can use available TwinCAT Job Tasks for executing parallel code regions.
Syntax
Definition:
HRESULT PredictSampleClass(
HRESULT hrPrev,
ITcVnMlModel* ipClassifier,
ITcUnknown* ipSample,
LONG& nClass,
float* pNovelty = nullptr
)Parameters
|
Name |
Type |
Default |
Description |
|---|---|---|---|
|
hrPrev |
|
HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.) | |
|
ipClassifier |
|
Classifier to be used | |
|
ipSample |
|
Container holding a single input sample (ContainerType_Vector_REAL or ContainerType_Vector_LREAL) | |
|
nClass |
LONG& |
|
Returns the classification result |
|
pNovelty |
float* |
nullptr |
Returns the degree of novelty (0.0 if a sample is completely known; > 0.0 otherwise) of the presented sample (optional, set to 0 if not required) |
Return valueRequired License
TC3 Machine Learning Realtime Inference