F_VN_InverseFeatureScaling_REAL

F_VN_InverseFeatureScaling_REAL 1:

Apply the inverse of feature scaling to a single value.

Syntax

Definition:

FUNCTION F_VN_InverseFeatureScaling_REAL : HRESULT
VAR_INPUT
    fSample        : REAL;
    ipScales       : ITcVnContainer;
END_VAR
VAR_IN_OUT
    fInverseSample : REAL;
END_VAR
VAR_INPUT
    hrPrev         : HRESULT;
END_VAR

F_VN_InverseFeatureScaling_REAL 2: Inputs

Name

Type

Description

fSample

REAL

Sample value

ipScales

ITcVnContainer

Container with the scaling parameters of each feature (type ContainerType_Vector_REAL or ContainerType_Vector_LREAL).

hrPrev

HRESULT

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

F_VN_InverseFeatureScaling_REAL 3: In/Outputs

Name

Type

Description

fInverseSample

REAL

Returns the inversed sample.

F_VN_InverseFeatureScaling_REAL 4: Return value

HRESULT

Further information

The function F_VN_InverseFeatureScaling_REAL inverts the scaling of a sample with only one feature or the prediction value of a scalar regressor. The function F_VN_FeatureScaling can be used for scaling.

Parameter

Samples

A sample of the type REAL must be transferred to fSample.

Scaling

A container with the scaling type and the corresponding scaling parameters must be transferred to ipScales. The container can be calculated using the function F_VN_GetFeatureScales or created using the structure described there.

Scaled sample

The inversely scaled feature is returned via fInverseSample.

Expert parameters

The expert variant F_VN_InverseFeatureScalingExp_REAL contains additional parameters.

Application

For example, an inverse feature scaling for a sample looks like this:

hr := F_VN_eatureScaling_REAL(
    fSample        := fSample,
    ipScales       := ipScales,
    fInverseSample := fSampleInvertedScaling,
    hrPrev         := hr);

Related functions

Required License

TC3 Machine Learning Realtime Inference

System Requirements