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TE3500 | Analytics Workbench · 0 次阅读

Scaler Fitting

Scaler Fitting 1:

The Scaler Fitting module can be used to determine the parameters for feature scaling and save them in a file. These parameters can then be used in the Scaler module.

The parameters required for scaling are determined depending on the operation mode.

Normalization:

Scaler Fitting 2:

Standardization:

Scaler Fitting 3:

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
    Standardization
  • File Path: Specifies the file path for the file in which the scaling parameters are saved. File type: json.

Output values

  • 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