plot.bayesOpt: Plot a 'bayesOpt' object

In ParBayesianOptimization: Parallel Bayesian Optimization of Hyperparameters

Plot a bayesOpt object

Description

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
)
# This plot will also show in real time with parameter plotProgress = TRUE in bayesOpt()
plot(Results)

ParBayesianOptimization documentation built on Oct. 18, 2022, 5:07 p.m.