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ScalerInterface

Source: Distributed_Design_Optimizer/subsystem/tools/ScalerInterface.py

Abstract interface for all scaler implementations.

Classes

ScalerInterface

Inherits from: ABC

Abstract interface for all scaler implementations.

Methods

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

Initialize the scaler with the unscaled data range.

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.

transform(self, value_unscaled: float) → float

Scale value_unscaled according to feature_range.

Args:

value_unscaled: The value to transform.

Returns:

The scaled value.

inverse_transform(self, value_scaled: float) → float

Undo the scaling of value_scaled according to feature_range.

Args:

value_scaled: The scaled value to inverse transform.

Returns:

The original unscaled value.

get_bound_violation_warnings(self) → List[str]

Get warning messages for observed values outside the fitted range.

Returns:

List of warning message strings. Empty list if no violations.

get_bound_utilization_report(self) → tuple[str, bool, bool]

Get a compact one-line bound utilization summary for this scaler.

Returns:

A tuple of (summary_line, has_violation, has_conservative).