Glance at an identification
Usage
# S3 method for class 'paretoinfer_state'
glance(x, ...)Value
A one-row tibble: K, m, alpha, n_evaluations, total_cost,
n_frontier, n_plausible, n_certified_optimal, n_uncertain,
n_dominated, identified, stopping_reason.
Examples
design <- pareto_design(alternatives = 2, objectives = 2, bounds = c(0, 1), epsilon = 0.1)
glance(initialize_pareto(design))
#> # A tibble: 1 × 12
#> K m alpha n_evaluations total_cost n_frontier n_plausible
#> <int> <int> <dbl> <int> <dbl> <int> <int>
#> 1 2 2 0.05 0 0 0 2
#> # ℹ 5 more variables: n_certified_optimal <int>, n_uncertain <int>,
#> # n_dominated <int>, identified <lgl>, stopping_reason <chr>