F_VN_PredictSampleClassExp
Classify a single sample. (expert function)
Can use available TwinCAT Job Tasks for executing parallel code regions.
Syntax
Definition:
FUNCTION F_VN_PredictSampleClassExp : HRESULT
VAR_INPUT
ipClassifier : ITcVnMlModel;
ipSample : ITcUnknown;
END_VAR
VAR_IN_OUT
nClass : DINT;
END_VAR
VAR_INPUT
fNovelty : Reference To REAL;
hrPrev : HRESULT;
END_VAR
Inputs
Name |
Type |
Description |
---|---|---|
ipClassifier |
Classifier to be used | |
ipSample |
Container holding a single input sample (ContainerType_Vector_REAL or ContainerType_Vector_LREAL) | |
fNovelty |
Reference To REAL |
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) |
hrPrev |
HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.) |
In/Outputs
Name |
Type |
Description |
---|---|---|
nClass |
DINT |
Returns the classification result |
Further information
The function F_VN_PredictSampleClassExp
is the expert variant of F_VN_PredictSampleClass. It contains additional parameters.
Parameter
Classification model
The previously trained classification model must be transferred to ipClassifier
.
Sample
The samples are transferred to ipSample
in a container. The container type must be either ContainerType_Vector_REAL
or ContainerType_Vector_LREAL
.
Class
The class of the sample is returned as the classification result via nClass
.
Degree of novelty
The degree of novelty of the sample is returned via fNovelty
.
Application
For example, a sample can be classified as follows:
hr := F_VN_PredictSampleClassExp(
ipClassifier := ipMlModel,
ipSample := ipSample,
nClass := nClassResult,
fNovelty := fNovelty,
hrPrev := hr);
Related functions
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 |