F_VN_CreateLdaTransformViaComponentNum

F_VN_CreateLdaTransformViaComponentNum 1:

Create an LDA-based feature transform from the provided data where the number of components to be used is predefined. 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. (expert function)

Syntax

Definition:

FUNCTION F_VN_CreateLdaTransformViaComponentNum : HRESULT
VAR_INPUT
    ipMlModel     : Reference To  ITcVnMlModel;
    ipSamples     : ITcUnknown;
    ipClasses     : ITcVnContainer;
    nComponentNum : UDINT;
    hrPrev        : HRESULT;
END_VAR

F_VN_CreateLdaTransformViaComponentNum 2: 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)

nComponentNum

UDINT

Number of components (nComponentNum must be smaller than the number of classes. A value of 0 results in the automatic computation of the maximum number of components.)

hrPrev

HRESULT

HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.)

F_VN_CreateLdaTransformViaComponentNum 3: Return value

HRESULT

Further information

The function F_VN_CreateLdaTransformViaComponentNum is a variant of F_VN_CreateLdaTransform. It contains the additional parameter nComponentNum to specify the number of components for the feature reduction in advance. This allows the level of data compression to be set.

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.

Number of components

nComponentNum components are used for feature reduction. At 0, the maximum number of components is automatically calculated.

Application

For example, an LDA model with 25 components can be created like this:

hr := F_VN_CreateLdaTransformViaComponentNum(
    ipMlModel       := ipMlModel,
    ipSamples       := ipSamples,
    ipClasses       := ipClasses,
    nComponentNum   := 25,
    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