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

 

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

ipRegressor

ITcVnMlModel*

 

Regressor to be used

ipSample

ITcUnknown*

 

Container holding a single input sample (ContainerType_Vector_REAL or ContainerType_Vector_LREAL)

ipPrediction

ITcVnContainer*&

 

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)

PredictSampleVector 1: Return value

HRESULT

Required 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