scalers#

This module provides scaler classes which are used to transform (i.e. scale) and/or inverse transform (i.g. descale) input data in column-wise fashion. These scalers are used to scale simulation data (e.g. between 1 and -1) based on the selected activation functions used in neural- networks to achieve successful and efficient training process.

Information:

design pattern: inheritance, abstraction
base class: Scaler
base class type: ABS (abstract)

Classes

`Scaler`([output_range, input_range])	Abstract scaler class.
`Dummy`([output_range, input_range])	Dummy scaler class.
`MinMax`(output_range[, input_range])	MinMax scaler class.

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