Plot MOGA models vs objective values.

Usage

objectives_vs_non_dominated_models(
  darwin_data,
  data = darwin_data$non_dominated_models$final_front,
  interactive = TRUE,
  add_hull = FALSE,
  front_type = c("Intersection", "Global", "MOGA"),
  model_colors = c(Dominated = "#4575B4", `Non-dominated` = "#D73027", `Final Front` =
    "#A50026"),
  ...
)

Arguments

darwin_data: Object of class darwin_data.
data: Data to plot. Defaults to darwin_data$non_dominated_models$final_front. Additional filters can be applied; e.g. data = darwin_data$non_dominated_models$final_front %>% dplyr::filter(f1 < 9000)
interactive: Whether or not the plot should be an interactive plotly object. Defaults to TRUE.
add_hull: Adds a hull around final_front points in a three objective plot. Defaults to FALSE.
front_type: Which method of selecting final front models should be used in the final front layer. Must be one of "Intersection", "Global", or "MOGA". Defaults to "Intersection".
model_colors: Named character vector of hex color codes for model.
...: Additional arguments to be passed to plotting function.

Value

Object of class plotly if interactive, otherwise of class ggplot.