piglot.objective.Scalarisation

class Scalarisation(objectives: List[IndividualObjective])

Bases: ABC

Base class for scalarisations.

Methods

scalarise	Scalarise a set of objectives.
scalarise_torch	Scalarise a set of objectives with gradients.

scalarise(values: ndarray, variances: ndarray | None = None) → Tuple[float, float | None]

Scalarise a set of objectives.

Parameters

valuesnp.ndarray

Mean objective values.

variancesOptional[np.ndarray]

Optional variances of the objectives.

Returns

Tuple[float, Optional[float]]

Mean and variance of the scalarised objective.

abstract scalarise_torch(values: Tensor, variances: Tensor | None = None) → Tuple[Tensor, Tensor | None]

Scalarise a set of objectives with gradients.

Parameters

valuestorch.Tensor

Mean objective values.

variancesOptional[torch.Tensor]

Optional variances of the objectives.

Returns

Tuple[torch.Tensor, Optional[torch.Tensor]]

Mean and variance of the scalarised objective.