Walk-forward scalar selection rules

ledgr_select_argmax() and ledgr_select_argmin() create deterministic scalar selection-rule value objects for walk-forward train-window scores. V1 supports one classified scalar metric at a time. Composite, override, top-N, stability-region, and arbitrary-function selectors are deferred.

Usage

ledgr_select_argmax(metric)

ledgr_select_argmin(metric)

Arguments

metric

A single metric name.

Value

A ledgr_selection_rule object.

Examples

ledgr_select_argmax("sharpe_ratio")
#> ledgr selection rule
#> ====================
#> Type:   argmax
#> Metric: sharpe_ratio
#> Hash:   cc82a9145ed0