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	HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.)
ipClusterer	ITcVnMlModel*	Clusterer to be used
ipSamples	ITcUnknown*	Container holding a batch of input samples (ContainerType_Vector_Vector_REAL or ContainerType_Vector_Vector_LREAL)
ipClusters	ITcVnContainer*&	Returns the IDs of the clusters the samples have been assigned to (ContainerType_Vector_DINT; optional, set to 0 if not required)

Return value

HRESULT

Required 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