Manuel Raimann aa9734587a feat: add BOHB sampler for budget-aware Bayesian optimization ...

BOHB combines TPE's model-guided sampling with Hyperband's budget-aware
evaluation by conditioning the TPE model on trials at specific budget
levels, producing better-calibrated parameter proposals.

2026-02-11 18:42:09 +01:00

..

async_tests.rs

Implement Parameters API

2026-02-06 18:54:55 +01:00

bohb_integration.rs

feat: add BOHB sampler for budget-aware Bayesian optimization

2026-02-11 18:42:09 +01:00

cma_es_tests.rs

feat: add CMA-ES sampler behind cma-es feature flag

2026-02-11 18:31:12 +01:00

derive_tests.rs

Implement Parameters API

2026-02-06 17:15:47 +01:00

integration.rs

feat: implement IntoIterator for &Study and add iter() method

2026-02-11 17:54:09 +01:00

median_pruner_tests.rs

feat: add trial user attributes for logging and analysis

2026-02-11 17:18:17 +01:00

multivariate_tpe_integration.rs

Implement Parameters API

2026-02-06 18:54:55 +01:00

parameter_tests.rs

Implement Parameters API

2026-02-06 17:15:47 +01:00

serde_tests.rs

feat: add optimize_with_checkpoint() and atomic save writes

2026-02-11 17:37:57 +01:00

threshold_pruner_tests.rs

feat: add ThresholdPruner for fixed-bound trial pruning

2026-02-11 16:28:22 +01:00

user_attr_tests.rs

feat: add trial user attributes for logging and analysis

2026-02-11 17:18:17 +01:00