Use this to change the saveFile parameter in a pre-existing bayesOpt object.
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
, saveFile = tempfile(fileext = ".RDS")
)
#> Ran initial scoring function 3 times in 1 thread: 0.673000000000002 seconds.
#> Starting Epoch 1
#> 1) Fitting Gaussian Process...
#> - Convergence Not Found. Trying again with tighter parameters...
#> - Convergence Not Found. Trying again with tighter parameters...
#> - Convergence Not Found. Trying again with tighter parameters...
#> - Maximum convergence attempts exceeded - process is probably sampling random
#> points.
#> 2) Ran local optimum search: 1.025 seconds.
#> 3) Ran `FUN()` 1 time in 1 thread: 0.232999999999997 seconds.
#> 4) Saved intermediary results to /tmp/Rtmp9Na8qo/file1a722389c80f.RDS.
#> Starting Epoch 2
#> 1) Fitting Gaussian Process...
#> 2) Ran local optimum search: 0.0760000000000005 seconds.
#> 3) Ran `FUN()` 1 time in 1 thread: 0.233999999999998 seconds.
#> 4) Saved intermediary results to /tmp/Rtmp9Na8qo/file1a722389c80f.RDS.
Results <- changeSaveFile(Results,saveFile = tempfile(fileext = ".RDS"))
