F_VN_PredictSampleScalar

Compute a scalar prediction for a single sample.
Can use available TwinCAT Job Tasks for executing parallel code regions.

Syntax

Definition:

FUNCTION F_VN_PredictSampleScalar : HRESULT
VAR_INPUT
    ipRegressor : ITcVnMlModel;
    ipSample    : ITcUnknown;
END_VAR
VAR_IN_OUT
    fPrediction : REAL;
END_VAR
VAR_INPUT
    hrPrev      : HRESULT;
END_VAR

Inputs

Name	Type	Description
ipRegressor	ITcVnMlModel	Regressor to be used
ipSample	ITcUnknown	Container holding a single input sample (ContainerType_Vector_REAL or ContainerType_Vector_LREAL)
hrPrev	HRESULT	HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.)

In/Outputs

Name	Type	Description
fPrediction	REAL	Returns the predicted output

Return value

HRESULT

Further information

The function F_VN_PredictSampleScalar calculates the scalar prediction value of a sample based on a regression model.

Parameter

Regression model

The previously trained regression model must be transferred to ipRegressor.

Sample

The sample container is transferred as ipSample. The container type must be either ContainerType_Vector_REAL or ContainerType_Vector_LREAL.

Prediction

The calculated prediction value is returned via fPrediction.

Expert parameters

The expert variant F_VN_PredictSampleScalarExp contains additional parameters.

Application

For example, the prediction value of a sample can be calculated as follows:

hr := F_VN_PredictSampleScalar(
    ipRegressor := ipRegressor,
    ipSample    := ipSample,
    fPrediction := fPrediction,
    hrPrev      := hr);

Related functions

F_VN_PredictBatch

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