Plot Surrogate Diagnostics — plot_surrogate

Visualises the surrogate-accelerated IES performance including model savings, uncertainty distribution, and GP quality metrics.

Usage

plot_surrogate_diagnostics(results, title = "Surrogate IES Diagnostics")

Arguments

results: List of surrogate update results from multiple iterations.
title: Character. Plot title.

Value

A ggplot2 object.

Examples

iter1 <- list(n_model_runs = 12L, n_surrogate_runs = 38L,
              savings_pct = 76.0, mean_uncertainty = 0.18)
iter2 <- list(n_model_runs = 8L,  n_surrogate_runs = 42L,
              savings_pct = 84.0, mean_uncertainty = 0.11)
iter3 <- list(n_model_runs = 5L,  n_surrogate_runs = 45L,
              savings_pct = 90.0, mean_uncertainty = 0.07)
p <- plot_surrogate_diagnostics(list(iter1, iter2, iter3))
inherits(p, "ggplot")
#> [1] TRUE