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Summary: This diff adds support for per-metric model selection in MBM using leave-one-out cross-validation. This will automatically select the best model for each outcome (among specified choices for each outcome) according to a specified criterion (e.g. rank correlation) using leave-one-out cross-validation. The selected models are then assembled into a ModelListGP.
Differential Revision: D64971370