TrainBatch
Train a classifier, a clusterer, a novelty detector, or a regressor with a batch of samples. On-line trainable models are trained once with each sample. Depending on the application and the number of available training samples, repeated training of such models with the same data may improve the results.
Can use available TwinCAT Job Tasks for executing parallel code regions.
Syntax
Definition:
HRESULT TrainBatch(
HRESULT hrPrev,
ITcVnMlModel* ipMlModel,
ITcUnknown* ipSamples,
ITcVnContainer* ipOutputs
)
Parameters
|
Name |
Type |
Description |
|---|---|---|
|
hrPrev |
HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.) | |
|
ipMlModel |
Classifier, clusterer, novelty detector, or regressor to be used | |
|
ipSamples |
Container holding a batch of input samples (ContainerType_Vector_Vector_REAL or ContainerType_Vector_Vector_LREAL) | |
|
ipOutputs |
Class labels (for classification, ContainerType_Vector_DINT) or target outputs (for regression with scalar output, ContainerType_Vector_REAL or ContainerType_Vector_LREAL; for regression with vectorial output, ContainerType_Vector_Vector_REAL or ContainerType_Vector_Vector_LREAL) to be learnt (must be 0 for clusterers and for novelty detectors) |
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 |