min_dist

negmas.outcomes.min_dist(test_outcome: Outcome, outcomes: Sequence[Outcome], outcome_space: OutcomeSpace | None, distance_fun: DistanceFun = <function generalized_minkowski_distance>, **kwargs) → float[source]

Minimum distance between an outcome and a set of outcomes in an outcome-spaceself.

Parameters:

  • test_outcome – The outcome tested

  • outcomes – A sequence of outcomes to compare to

  • outcome_space – The outcomespace used for comparison

  • distance_fun – The distance function

  • kwargs – Paramters to pass to the distance function

See also

generalized_euclidean_distance