Plot a bayesOpt object

Returns 2 stacked plots - the top shows the results from FUN at each iteration. The bottom shows the utility from each point before the search took place.

Usage

# S3 method for class 'bayesOpt'
plot(x, ...)

Arguments

x

An object of class bayesOpt

...

Passed to ggarrange() when plots are stacked.

Value

an object of class ggarrange from the ggpubr package.

Examples

scoringFunction <- function(x) {
  a <- exp(-(2-x)^2)*1.5
  b <- exp(-(4-x)^2)*2
  c <- exp(-(6-x)^2)*1
  return(list(Score = a+b+c))
}

bounds <- list(x = c(0,8))

Results <- bayesOpt(
    FUN = scoringFunction
  , bounds = bounds
  , initPoints = 3
  , iters.n = 2
  , gsPoints = 10
)
#> 
#> Running initial scoring function 3 times in 1 thread(s)...
# This plot will also show in real time with parameter plotProgress = TRUE in bayesOpt()
plot(Results)
#> Warning: `aes_string()` was deprecated in ggplot2 3.0.0.
#> ℹ Please use tidy evaluation idioms with `aes()`.
#> ℹ See also `vignette("ggplot2-in-packages")` for more information.
#> ℹ The deprecated feature was likely used in the ParBayesianOptimization
#>   package.
#>   Please report the issue at
#>   <https://github.com/novica/ParBayesianOptimization/issues>.