minmax

negmas.preferences.minmax(ufun: UtilityFunction, outcome_space: OutcomeSpace | None = None, issues: Sequence[Issue] | tuple[Issue, ...] | None = None, outcomes: Sequence[Outcome] | tuple[Outcome, ...] | None = None, max_cardinality=1000) → tuple[float, float][source]

Finds the range of the given utility function for the given outcomes.

Parameters:

  • ufun – The utility function

  • outcome_space – An outcome-space to consider

  • issues – list of issues (optional)

  • outcomes – A collection of outcomes (optional)

  • max_cardinality – the maximum number of outcomes to try sampling (if sampling is used and outcomes are not given)

Returns:

Minumum utility, maximum utility