min_dist

negmas.outcomes.min_dist(test_outcome, outcomes, outcome_space, distance_fun=<function generalized_minkowski_distance>, **kwargs)

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

Parameters:

• test_outcome (tuple) – The outcome tested

• outcomes (Sequence[tuple]) – A sequence of outcomes to compare to

• outcome_space (OutcomeSpace | None) – The outcomespace used for comparison

• distance_fun (Callable[[tuple, tuple, Optional[OutcomeSpace]], float]) – The distance function

• kwargs – Paramters to pass to the distance function

Return type:

float

See also

generalized_euclidean_distance