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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(
alpha = p_dbl(lower = 0, upper = 1),
s = p_dbl(lower = -7, upper = 7, tags = "log", trafo = function(x) exp(x)),
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", "1220", "4154", "41163",
"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",
"334", "24", "1486", "23517", "41278", "1493", "28", "1487",
"1068", "1050", "1049", "32", "1489", "470", "1494", "41161",
"182", "312", "40984", "1501", "40685", "38", "42", "44", "46",
"40982", "1040", "41146", "377", "40499", "50", "54", "41216",
"41166", "307", "1497", "60", "1510", "40983", "40498", "181",
"554")
, tags = "task_id"
)
)
domain = ps(
alpha = p_dbl(lower = 0, upper = 1),
s = p_dbl(lower = exp(-7), upper = exp(7)),
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", "1220", "4154", "41163",
"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",
"334", "24", "1486", "23517", "41278", "1493", "28", "1487",
"1068", "1050", "1049", "32", "1489", "470", "1494", "41161",
"182", "312", "40984", "1501", "40685", "38", "42", "44", "46",
"40982", "1040", "41146", "377", "40499", "50", "54", "41216",
"41166", "307", "1497", "60", "1510", "40983", "40498", "181",
"554")
, tags = "task_id"
)
)