TrainBatchClusters
Train a clusterer with a batch of samples and return the IDs of the clusters the samples have been assigned to, if requested. On-line trainable clusterers 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 TrainBatchClusters(
HRESULT hrPrev,
ITcVnMlModel* ipClusterer,
ITcUnknown* ipSamples,
ITcVnContainer*& ipClusters
)
Parameters
|
Name |
Type |
Description |
|---|---|---|
|
hrPrev |
HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.) | |
|
ipClusterer |
Clusterer to be used | |
|
ipSamples |
Container holding a batch of input samples (ContainerType_Vector_Vector_REAL or ContainerType_Vector_Vector_LREAL) | |
|
ipClusters |
Returns the IDs of the clusters the samples have been assigned to (ContainerType_Vector_DINT; 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. 4024.44 or later | PC or CX (x64) with PL50, e.g. Intel 4-core Atom CPU | Tc3_Vision |