ledgr_rule_argmax() and ledgr_rule_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_rule_argmax(metric)
ledgr_rule_argmin(metric)
Arguments
- metric
A single metric name.
Value
A ledgr_selection_rule object.
Examples
ledgr_rule_argmax("sharpe_ratio")
#> ledgr selection rule
#> ====================
#> Type: argmax
#> Metric: sharpe_ratio
#> Hash: cc82a9145ed0
ledgr_rule_argmin("max_drawdown")
#> ledgr selection rule
#> ====================
#> Type: argmin
#> Metric: max_drawdown
#> Hash: ff53e1af3dfb
