hyperopt-pruners 0.1.1

Pruners (early-stopping policies) for hyperopt-rs: Nop, Median, and SuccessiveHalving (ASHA).

Coverage
80%
4 out of 5 items documented0 out of 2 items with examples
Size
Source code size: 27.05 kB This is the summed size of all the files inside the crates.io package for this release.
Documentation size: 334.08 kB This is the summed size of all files generated by rustdoc for all configured targets
Ø build duration
this release: 9s Average build duration of successful builds.
all releases: 9s Average build duration of successful builds in releases after 2024-10-23.
Links
mi7plus/hyperopt-rs
0 0 0
crates.io
Dependencies
Versions
- 0.1.1 (2026-08-17)
- 0.1.0 (2026-08-17)
Owners

hyperopt-pruners

Pluggable Pruner (early-stopping) policies for hyperopt-rs, the Optuna-shaped hyperparameter optimization framework:

NopPruner — never prunes; the baseline.
MedianPruner — prunes a trial whose latest intermediate value is worse than the median of other trials at the same step (mirrors Optuna). On a synthetic 30-step benchmark it cuts ~50% of objective evaluations with no loss in best value.
SuccessiveHalvingPruner — asynchronous successive halving (ASHA).

Report intermediate values with trial.report(step, value) and check trial.should_prune() inside the objective.

Most users want the hyperopt-rs facade, which re-exports these. See the repository for the full guide.

MIT © mi7plus