CreateKmppModel

Create a k-means++ model of the specified type. The initial reference count is set to one if a new model is created and kept, otherwise. Models of this type neither support on-line training (sample by sample) nor retraining.

Syntax

Definition:

HRESULT CreateKmppModel(
    HRESULT                 hrPrev,
    ITcVnMlModel*&          ipMlModel,
    ETcVnPrototypeClusterer eKmppType,
    ULONG                   nK,
    bool                    bDoublePrecision = false,
    ULONG                   nMaxIterations = 0,
    double                  fEpsilon = 0.0
)

Parameters

Name

Type

Default

Description

hrPrev

HRESULT

 

HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.)

ipMlModel

ITcVnMlModel*&

 

Returns the created model (Non-zero interface pointers are reused.)

eKmppType

ETcVnPrototypeClusterer

 

k-means++ model type

nK

ULONG

 

Parameter k (number of clusters)

bDoublePrecision

bool

false

If true, the model is generated with double precision (LREAL) instead of single precision (REAL). (default: FALSE)

nMaxIterations

ULONG

0

Maximum number of iterations (triggers the usage of the default value of 10 if it equals 0)

fEpsilon

double

0.0

Maximum allowed difference of the error between two successive iterations (triggers the usage of the default value of 0.001 if it equals 0)

CreateKmppModel 1: 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