R/OptPath_getter.R
getOptPathParetoFront.Rd
Get indices of pareto front of optimization path.
getOptPathParetoFront( op, y.names = op$y.names, dob = op$env$dob, eol = op$env$eol, index = FALSE )
op | OptPath |
---|---|
y.names | character |
dob | integer |
eol | integer |
index | ( |
matrix
| integer
. Either matrix (with named columns) of points of
front in objective space or indices into path for front.
Other optpath:
OptPath
,
addOptPathEl()
,
getOptPathBestIndex()
,
getOptPathCols()
,
getOptPathCol()
,
getOptPathDOB()
,
getOptPathEOL()
,
getOptPathEl()
,
getOptPathErrorMessages()
,
getOptPathExecTimes()
,
getOptPathLength()
,
getOptPathX()
,
getOptPathY()
,
setOptPathElDOB()
,
setOptPathElEOL()
ps = makeParamSet(makeNumericParam("x")) op = makeOptPathDF(par.set = ps, y.names = c("y1", "y2"), minimize = c(TRUE, TRUE)) addOptPathEl(op, x = list(x = 1), y = c(5, 3)) addOptPathEl(op, x = list(x = 2), y = c(2, 4)) addOptPathEl(op, x = list(x = 3), y = c(9, 4)) addOptPathEl(op, x = list(x = 4), y = c(4, 9)) as.data.frame(op)#> x y1 y2 dob eol #> 1 1 5 3 1 NA #> 2 2 2 4 2 NA #> 3 3 9 4 3 NA #> 4 4 4 9 4 NAgetOptPathParetoFront(op)#> y1 y2 #> 1 5 3 #> 2 2 4getOptPathParetoFront(op, index = TRUE)#> [1] 1 2