Function selectPrunedIterationIds

selectPrunedIterationIds(
entries: LeaderboardEntry[],
opts: { keepTopK?: number; relativePruneThreshold?: number },
): Set<string>
Decide which leaderboard entries should be pruned after a wave (plan §8.3 — "prune unpromising branches"). Two complementary rules, both optional:
1. Relative threshold — prune any entry scoring below bestScore * relativePruneThreshold.
2. Top-K — keep only the top-K ranked entries; prune the rest.
An entry pruned by either rule is returned. The set is deterministic (ranking is stable) and never prunes the single best entry.
Parameters
- entries: LeaderboardEntry[]
  the current leaderboard (one entry per completed iteration)
- opts: { keepTopK?: number; relativePruneThreshold?: number }
  the prune rules (either/both/none)
Returns Set<string>
the IterationIDs to mark Pruned
- Defined in AI/PredictiveStudio/Engine/src/experiment/leaderboard.ts:65