RankConstraint

class negmas.elicitation.RankConstraint(rankings: list[int], full_range: Sequence[tuple[float, float]] | tuple[float, float] = (0.0, 1.0), outcomes: list[tuple] = None)

Bases: MarginalNeutralConstraint

Constraints the utilities of given outcomes to be in ascending order

Methods Summary

is_satisfied(preferences[, outcomes])	Whether or not the constraint is satisfied.
marginal(outcome)
marginals([outcomes])

Methods Documentation

is_satisfied(preferences: Preferences, outcomes: Iterable[tuple] | None = None) → bool

Whether or not the constraint is satisfied.

marginal(outcome: tuple) → ScipyDistribution

marginals(outcomes: Iterable[tuple] = None) → list[ScipyDistribution]