RankConstraint
- class negmas.elicitation.RankConstraint(rankings, full_range=(0.0, 1.0), outcomes=None)[source]
Bases:
MarginalNeutralConstraintConstraints 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)- rtype:
ScipyDistribution
marginals([outcomes])- rtype:
list[ScipyDistribution]
Methods Documentation
- is_satisfied(preferences, outcomes=None)[source]
Whether or not the constraint is satisfied.
- Return type:
- marginal(outcome)
- Return type:
ScipyDistribution