Manuel Raimann 0cae3b4227 feat: add parameter importance via Spearman rank correlation ...

Compute per-parameter importance scores by measuring the absolute
Spearman rank correlation between each parameter's values and the
objective across completed trials. Scores are normalized to sum to 1.0
and returned sorted by descending importance.

2026-02-11 18:56:19 +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

importance_tests.rs

feat: add parameter importance via Spearman rank correlation

2026-02-11 18:56:19 +01:00

integration.rs

feat: add constraint handling with feasibility-aware trial ranking

2026-02-11 18:49:08 +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