combine

combine(results, *, keys=None, dataset_col='dataset')

Stack per-dataset results into one, for a benchmark across studies.

Datasets are scored separately and combined afterwards, never merged before scoring. Two reasons, and the second is the one that bites:

• a 27K study and an EPIC study have different probe spaces, and the outer join of ten of them is a mostly-NaN matrix that no clock should see;
• feature coverage is a property of a dataset. Merged, a clock that covers 99% of one study and 40% of another reports a single meaningless average, and the AA2 test silently compares cases in the well-covered study against controls in the badly-covered one.

Per-clock coverage is kept per dataset in uns and the manifests are merged, so a combined result still says which study contributed what.