F_VN_CreateNbcModel
Create a normal Bayes classifier of the specified type. The initial reference count is set to one if a new model is created and kept, otherwise. In order to train normal Bayes classifiers, a sufficiently high number of samples is required for each class. It depends on the number of features and the distribution of the data. Hence, it needs to be tested for each application. Models of this type do not support on-line training (sample by sample). For the retraining of such classifier models, the set of presented classes must be identical to the previous learning steps. Otherwise, an exception is raised.
Syntax
Definition:
FUNCTION F_VN_CreateNbcModel : HRESULT
VAR_INPUT
ipMlModel : Reference To ITcVnMlModel;
eNbcType : ETcVnNbc;
hrPrev : HRESULT;
END_VAR
Inputs
|
Name |
Type |
Description |
|---|---|---|
|
ipMlModel |
Reference To ITcVnMlModel |
Returns the created model (Non-zero interface pointers are reused.) |
|
eNbcType |
Normal Bayes classifier type | |
|
hrPrev |
HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.) |
Return valueWeiterführende Informationen
Die Funktion F_VN_CreateNbcModel erstellt ein Normal Bayes Classifier (NBC) Modell.
Normal Bayes Classifier-Modelle
Beim Normal Bayes Classifier wird ein Mischverteilungsmodell erstellt, bei dem jede Klasse durch eine Gaußverteilung repräsentiert wird. Während des Trainings werden die Parameter dieser Gaußfunktionen ermittelt.
Parameter
Modell
In dem Interface Pointer ipMlModel wird das erstellte Modell zurückgegeben.
Modell-Typ
eNbcType legt fest, ob NBC zur Klassifizierung (TCVN_NBC_CLASSIFIER) oder zur Anomalie-Detektion (TCVN_NBC_NOVELTY_DETECTOR) genutzt wird.
Anwendung
Ein NBC-Modell zur Klassifizierung kann z.B. so erstellt werden:
hr := F_VN_CreateNbcModel(
ipMlModel := ipMlModel,
eNbcType := TCVN_NBC_CLASSIFIER,
hrPrev := hr);
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 |