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TE3520 | Analytics Service Tool · 0 次阅读

Scaler

Scaler 1:

The Scaler module can be used to perform feature scaling.

Depending on the operation mode, the scaling parameters are used in different ways.

Normalization

Scaler 2:

Standardization:

Scaler 3:

The scaling parameters can be configured directly. Alternatively, they can be imported from a file.

Optionally, a Boolean signal can be selected for the Enable Execution input so that the algorithm is only active if the value of the selected signal is TRUE.

Configuration options

  • Scaling Mode: Mode for scaling.
    Normalization: Result has a value range of 0..+1
    Standardization: Result has a value range of -1..+1
  • Scaling Param 1: The value of the first scaling parameter depends on the scaling mode set.
    Normalization: Smallest value of the input signal
    Standardization: Average value of the input signal
  • Scaling Param 2: The value of the second scaling parameter depends on the scaling mode set.
    Normalization: Largest value of the input signal
    Standardization: Standard deviation of the input signal
  • File Path (optional): File path to a file with previously determined parameters. The file is created by the Scaler Fitting module. File type: json.

Output values

  • Result: Outputs the calculated value. This is calculated from the two scaling parameters depending on the scaling mode.
    Normalization: Result has a value range of 0..+1
    Standardization: Result has a value range of -1..+1