PredictSampleVector
Compute a vectorial prediction for a single sample.
Can use available TwinCAT Job Tasks for executing parallel code regions.
Syntax
Definition:
HRESULT PredictSampleVector(
HRESULT hrPrev,
ITcVnMlModel* ipRegressor,
ITcUnknown* ipSample,
ITcVnContainer*& ipPrediction,
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.) | |
|
ipRegressor |
|
Regressor to be used | |
|
ipSample |
|
Container holding a single input sample (ContainerType_Vector_REAL or ContainerType_Vector_LREAL) | |
|
ipPrediction |
|
Returns the predicted output (ContainerType_Vector_REAL or ContainerType_Vector_LREAL, depending on ipSample) | |
|
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 Vision Machine Learning
System Requirements
Development environment | Target platform | PLC libraries to include |
|---|---|---|
TwinCAT V3.1.4024.54 or later | PC or CX (x64) with PL50, e.g. Intel 4-core Atom CPU | Tc3_Vision |