FeatureScaling

Apply a feature scaling to one or more sample(s) and get output range between [fA, fB] in the case of TCVN_FST1_MINMAX.

Syntax

Definition:

HRESULT FeatureScaling(
    HRESULT          hrPrev,
    ITcVnContainer*  ipSamples,
    ITcVnContainer*  ipScales,
    ITcVnContainer*& ipScaledSamples,
    double           fA = 0.0,
    double           fB = 1.0
)

Parameters

Name	Type	Default	Description
hrPrev	HRESULT		HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.)
ipSamples	ITcVnContainer*		Container holding one or more input sample(s) (ContainerType_Vector_REAL, ContainerType_Vector_LREAL, ContainerType_Vector_Vector_REAL, or ContainerType_Vector_Vector_LREAL)
ipScales	ITcVnContainer*		Container with the scaling parameters of each feature (type ContainerType_Vector_REAL or ContainerType_Vector_LREAL).
ipScaledSamples	ITcVnContainer*&		Returns the scaled sample(s) using the same type like ipSamples. If the same container ipSamples is uesd, the source data will be replaced.
fA	double	0.0	represents the lower bound of the range for TCVN_FST1_MINMAX
fB	double	1.0	represents the upper bound of the range for TCVN_FST1_MINMAX

Return value

HRESULT

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