F_VN_PredictSampleScalar

F_VN_PredictSampleScalar 1:

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

F_VN_PredictSampleScalar 2: 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.)

F_VN_PredictSampleScalar 3: In/Outputs

Name

Type

Description

fPrediction

REAL

Returns the predicted output

F_VN_PredictSampleScalar 4: 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

Required License

TC3 Machine Learning Realtime Inference

System Requirements

Development environment

Target platform

PLC libraries to include

TwinCAT V3.1.4024.59 or later

PC or CX (x64) with min. PL50, e.g. Intel 4-core Atom CPU

Tc3_Vision