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codomain = ps(
acc = p_dbl(lower = 0, upper = 1, tags = "maximize"),
bac = p_dbl(lower = 0, upper = 1, tags = "maximize"),
f1 = p_dbl(lower = 0, upper = 1, tags = "maximize"),
auc = p_dbl(lower = 0, upper = 1, tags = "maximize"),
brier = p_dbl(lower = 0, upper = 1, tags = "minimize"),
logloss = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
timetrain = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
timepredict = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
memory = p_dbl(lower = 0, upper = Inf, tags = "minimize")
)
search_space = ps(
cp = p_dbl(lower = -7, upper = 0, tags = "log", trafo = function(x) exp(x)),
maxdepth = p_int(lower = 1L, upper = 30L),
minbucket = p_int(lower = 1L, upper = 100L),
minsplit = p_int(lower = 1L, upper = 100L),
trainsize = p_dbl(lower = 0.03, upper = 1, tags = "budget"),
repl = p_int(lower = 1L, upper = 10L, tags = "budget"),
num.impute.selected.cpo = p_fct(levels = c("impute.mean", "impute.median", "impute.hist")),
task_id = p_fct(levels = c("41138", "4135", "40981", "4134", "40927", "1220", "4154",
"40923", "41163", "40996", "4538", "40978", "375", "1111", "40496",
"40966", "41150", "4534", "40900", "40536", "41156", "1590",
"1457", "458", "469", "41157", "11", "1461", "1462", "1464",
"15", "40975", "41142", "40701", "40994", "23", "1468", "40668",
"29", "31", "6332", "37", "4541", "40670", "23381", "151", "188",
"41164", "1475", "1476", "41159", "1478", "41169", "23512", "1479",
"41212", "1480", "300", "41168", "41143", "1053", "41027", "1067",
"1063", "41162", "3", "6", "1485", "1056", "12", "14", "16",
"18", "40979", "22", "1515", "554", "334", "24", "1486", "23517",
"1493", "28", "1487", "1068", "1050", "1049", "32", "1489", "470",
"1494", "41161", "41165", "182", "312", "40984", "1501", "40685",
"38", "42", "44", "46", "40982", "1040", "41146", "377", "40499",
"50", "54", "41166", "307", "1497", "60", "1510", "40983", "40498",
"181"), tags = "task_id"
)
)
domain = ps(
cp = p_dbl(lower = exp(-7), upper = exp(0)),
maxdepth = p_int(lower = 1L, upper = 30L),
minbucket = p_int(lower = 1L, upper = 100L),
minsplit = p_int(lower = 1L, upper = 100L),
trainsize = p_dbl(lower = 0.03, upper = 1, tags = "budget"),
repl = p_int(lower = 1L, upper = 10L, tags = "budget"),
num.impute.selected.cpo = p_fct(levels = c("impute.mean", "impute.median", "impute.hist")),
task_id = p_fct(levels = c("41138", "4135", "40981", "4134", "40927", "1220", "4154",
"40923", "41163", "40996", "4538", "40978", "375", "1111", "40496",
"40966", "41150", "4534", "40900", "40536", "41156", "1590",
"1457", "458", "469", "41157", "11", "1461", "1462", "1464",
"15", "40975", "41142", "40701", "40994", "23", "1468", "40668",
"29", "31", "6332", "37", "4541", "40670", "23381", "151", "188",
"41164", "1475", "1476", "41159", "1478", "41169", "23512", "1479",
"41212", "1480", "300", "41168", "41143", "1053", "41027", "1067",
"1063", "41162", "3", "6", "1485", "1056", "12", "14", "16",
"18", "40979", "22", "1515", "554", "334", "24", "1486", "23517",
"1493", "28", "1487", "1068", "1050", "1049", "32", "1489", "470",
"1494", "41161", "41165", "182", "312", "40984", "1501", "40685",
"38", "42", "44", "46", "40982", "1040", "41146", "377", "40499",
"50", "54", "41166", "307", "1497", "60", "1510", "40983", "40498",
"181"), tags = "task_id"
)
)