smac.multi_objective.parego

Classes

ParEGO(scenario[, rho, seed])

ParEGO implementation based on https://www.cs.bham.ac.uk/~jdk/UKCI-2015.pdf.

Interfaces

class smac.multi_objective.parego.ParEGO(scenario, rho=0.05, seed=None)[source]

Bases: AbstractMultiObjectiveAlgorithm

ParEGO implementation based on https://www.cs.bham.ac.uk/~jdk/UKCI-2015.pdf.

Parameters:

  • scenario (Scenario) –

  • rho (float, defaults to 0.05) – A small positive value.

  • seed (int | None, defaults to None) –

__call__(values)[source]

Transform a multi-objective loss to a single loss.

Parameters:

values (list[float]) – Normalized values in the range [0, 1].

Returns:

cost – Combined cost.

Return type:

float

property meta: dict[str, Any]

Returns the meta data of the created object.

update_on_iteration_start()[source]

Update the internal state on start of each SMBO iteration.

Return type:

None

previous

smac.multi_objective.aggregation_strategy

next

smac.utils