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Get a concise summary of optimization results for a module. Combines information from trials, best parameters, and cost tracking.

Usage

optimization_summary(module)

Arguments

module

A DSPrrr module with optimization history.

Value

A list with:

  • n_trials: Number of trials evaluated

  • best_score: Best score achieved

  • best_trial: ID of the best trial

  • best_params: Best parameter configuration

  • score_range: Min and max scores across trials

  • total_cost: Total cost of optimization (if tracked)

  • improvement: Score improvement from first to best trial

Examples

if (FALSE) {
mod$optimize_grid(data, metric, parameters)
summary <- optimization_summary(mod)
print(summary)
}