F_VN_CreateLdaTransform

Create an LDA-based feature transform from the provided data. The number of samples must be >= the number of features and the number of classes must be >= 2. The initial reference count is set to one if a new model is created and kept, otherwise.

Syntax

Definition:

FUNCTION F_VN_CreateLdaTransform : HRESULT
VAR_INPUT
    ipMlModel : Reference To  ITcVnMlModel;
    ipSamples : ITcUnknown;
    ipClasses : ITcVnContainer;
    hrPrev    : HRESULT;
END_VAR

Inputs

Name	Type	Description
ipMlModel	Reference To ITcVnMlModel	Returns the created feature transform (Non-zero interface pointers are reused.)
ipSamples	ITcUnknown	Container holding a batch of input samples (ContainerType_Vector_Vector_REAL or ContainerType_Vector_Vector_LREAL)
ipClasses	ITcVnContainer	Class labels corresponding to the input samples (ContainerType_Vector_DINT)
hrPrev	HRESULT	HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.)

Return value

HRESULT

Further information

The function F_VN_CreateLdaTransform creates a Linear Discriminant Analysis (LDA) model for feature transformation.

Linear Discriminant Analysis models

Linear Discriminant Analysis creates a feature transformation with the aim of making the classes as easy to separate as possible using the transformed features. The model can be used to compress the samples effectively.

Parameter

Model

The created model is returned in the interface pointer ipMlModel.

Samples

All samples are sent to the model in a container via ipSamples.

Classes

The class assignments of all samples in a container are given to the model via ipClasses.

Application

For example, an LDA model for feature reduction can be created like this:

hr := F_VN_CreateLdaTransform(
    ipMlModel   := ipMlModel,
    ipSamples   := ipSamples,
    ipClasses   := ipClasses,
    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