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ScalerConstraint

Source: Distributed_Design_Optimizer/subsystem/tools/ScalerConstraint.py

Scaler for normalizing constraint values to [-0.5, 0.5].

Classes

ScalerConstraint

Inherits from: ScalerBasis

A scaler that normalizes constraint values to the range [-0.5, 0.5].

Provides validation and scalar value support for optimization constraints. Requires symmetric data range about 0.

Methods

init(self, lower_scaler_bound_unscaled: float, upper_scaler_bound_unscaled: float) → None

Initialize the ScalerConstraint with feature range [-0.5, 0.5].

Ensures that the data range is symmetric about 0, meaning -1*min = max.

Args:

lower_scaler_bound_unscaled: The lower bound of the unscaled data range.
upper_scaler_bound_unscaled: The upper bound of the unscaled data range.

Raises:

ValueError: If the data range is not symmetric about 0 or is zero.