F_VN_InverseFeatureScaling_REAL
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
Inputs
|
Name |
Type |
Description |
|---|---|---|
|
fSample |
REAL |
Sample value |
|
ipScales |
Container with the scaling parameters of each feature (type ContainerType_Vector_REAL or ContainerType_Vector_LREAL). | |
|
hrPrev |
HRESULT indicating the result of previous operations (If SUCCEEDED(hrPrev) equals false, no operation is executed.) |
In/Outputs
|
Name |
Type |
Description |
|---|---|---|
|
fInverseSample |
REAL |
Returns the inversed sample. |
Return valueFurther 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
Development environment | Target platform | PLC libraries to include |
|---|---|---|
TwinCAT V3.1.4024.59 or later | PC or CX (x64) with min. PL50, e.g. Intel 4-core Atom CPU | Tc3_Vision |