| 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( | |
| k = p_int(lower = 1L, upper = 50L), | |
| distance = p_fct(levels = c("l2", "cosine", "ip")), | |
| M = p_int(lower = 18L, upper = 50L), | |
| ef = p_dbl(lower = 2, upper = 6, tags = c("int", "log"), trafo = function(x) as.integer(round(exp(x)))), | |
| ef_construction = p_dbl(lower = 2, upper = 7, tags = c("int", "log"), trafo = function(x) as.integer(round(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", "40981", "4134", "40927", "1220", "4154", "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", "41278", "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", "41216", "41166", "307", "1497", "60", "1510", "40983", | |
| "40498", "181", "40923"), | |
| tags = "task_id" | |
| ) | |
| ) | |
| domain = ps( | |
| k = p_int(lower = 1L, upper = 50L), | |
| distance = p_fct(levels = c("l2", "cosine", "ip")), | |
| M = p_int(lower = 18L, upper = 50L), | |
| ef = p_int(lower = 7L, upper = 403L), | |
| ef_construction = p_int(lower = 7L, upper = 403L), | |
| 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", "40981", "4134", "40927", "1220", "4154", "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", "41278", "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", "41216", "41166", "307", "1497", "60", "1510", "40983", | |
| "40498", "181", "40923"), | |
| tags = "task_id" | |
| ) | |
| ) | |