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Upload blackbox yahpo-rbv2_ranger

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yahpo/rbv2_ranger/best_params_resnet.json ADDED
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+ {"d": 256, "d_hidden_factor": 3.0423235983221595, "hidden_dropout": 0.1100730641227898, "lr": 0.0003609838592369633, "mixup": false, "n_layers": 8, "opt_tfms_acc": true, "opt_tfms_auc": true, "opt_tfms_bac": true, "opt_tfms_brier": false, "opt_tfms_f1": false, "opt_tfms_logloss": true, "opt_tfms_memory": false, "opt_tfms_min.node.size": false, "opt_tfms_mtry.power": false, "opt_tfms_num.random.splits": true, "opt_tfms_num.trees": true, "opt_tfms_repl": false, "opt_tfms_sample.fraction": true, "opt_tfms_timepredict": true, "opt_tfms_timetrain": false, "opt_tfms_trainsize": true, "tfms_acc": "tlog", "tfms_auc": "tlog", "tfms_bac": "tlog", "tfms_logloss": "tnexp", "tfms_num.random.splits": "tnexp", "tfms_num.trees": "tlog", "tfms_sample.fraction": "tnexp", "tfms_timepredict": "tnexp", "tfms_trainsize": "tlog", "use_residual_dropout": false}
yahpo/rbv2_ranger/config_space.json ADDED
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+ {
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+ "hyperparameters": [
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+ {
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+ "name": "min.node.size",
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+ "type": "uniform_int",
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+ "log": false,
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+ "lower": 1,
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+ "upper": 100,
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+ "default": 50
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+ },
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+ {
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+ "name": "mtry.power",
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+ "type": "uniform_int",
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+ "log": false,
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+ "lower": 0,
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+ "upper": 1,
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+ "default": 0
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+ },
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+ {
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+ "name": "num.impute.selected.cpo",
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+ "type": "categorical",
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+ "choices": [
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+ "impute.mean",
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+ "impute.median",
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+ "impute.hist"
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+ ],
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+ "default": "impute.mean",
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+ "probabilities": null
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+ },
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+ {
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+ "name": "num.trees",
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+ "type": "uniform_int",
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+ "log": false,
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+ "lower": 1,
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+ "upper": 2000,
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+ "default": 1000
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+ },
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+ {
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+ "name": "repl",
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+ "type": "uniform_int",
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+ "log": false,
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+ "lower": 1,
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+ "upper": 10,
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+ "default": 6
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+ },
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+ {
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+ "name": "respect.unordered.factors",
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+ "type": "categorical",
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+ "choices": [
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+ "ignore",
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+ "order",
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+ "partition"
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+ ],
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+ "default": "ignore",
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+ "probabilities": null
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+ },
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+ {
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+ "name": "sample.fraction",
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+ "type": "uniform_float",
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+ "log": false,
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+ "lower": 0.1,
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+ "upper": 1.0,
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+ "default": 0.55
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+ },
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+ {
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+ "name": "splitrule",
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+ "type": "categorical",
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+ "choices": [
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+ "gini",
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+ "extratrees"
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+ ],
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+ "default": "gini",
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+ "probabilities": null
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+ },
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+ {
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+ "name": "task_id",
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+ "type": "categorical",
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+ "choices": [
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+ "4135","40981","4134","1220","4154","4538","40978","375","40496","40966","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","40670","23381","151","188","41164","1475","1476","1478","1479","41212","1480","41143","1053","41027","1067","1063","3","6","1485","1056","12","14","16","18","40979","22","1515","334","24","1486","41278","28","1487","1068","1050","1049","32","1489","470","1494","182","312","40984","1501","40685","38","42","44","46","40982","1040","41146","377","40499","50","54","41216","307","1497","60","1510","40983","40498","181","41138","41163","1111","41159","300","41162","23517","41165","4541","41161","41166","40927","41150","23512","41168","1493","40996","554","40923","41169"
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+ ],
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+ "default": "1040",
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+ "probabilities": null
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+ },
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+ {
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+ "name": "trainsize",
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+ "type": "uniform_float",
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+ "log": false,
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+ "lower": 0.03,
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+ "upper": 1.0,
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+ "default": 0.525
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+ },
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+ {
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+ "name": "num.random.splits",
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+ "type": "uniform_int",
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+ "log": false,
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+ "lower": 1,
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+ "upper": 100,
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+ "default": 1
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+ }
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+ ],
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+ "conditions": [
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+ {
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+ "child": "num.random.splits",
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+ "parent": "splitrule",
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+ "type": "EQ",
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+ "value": "extratrees"
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+ }
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+ ],
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+ "forbiddens": [],
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+ "python_module_version": "0.4.18",
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+ "json_format_version": 0.2
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+ }
yahpo/rbv2_ranger/encoding.json ADDED
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+ {"num.impute.selected.cpo": {"#na#": 0, "impute.hist": 1, "impute.mean": 2, "impute.median": 3}, "respect.unordered.factors": {"#na#": 0, "ignore": 1, "order": 2, "partition": 3}, "splitrule": {"#na#": 0, "extratrees": 1, "gini": 2}, "task_id": {"#na#": 0, "1040": 1, "1049": 2, "1050": 3, "1053": 4, "1056": 5, "1063": 6, "1067": 7, "1068": 8, "11": 9, "1111": 10, "12": 11, "1220": 12, "14": 13, "1457": 14, "1461": 15, "1462": 16, "1464": 17, "1468": 18, "1475": 19, "1476": 20, "1478": 21, "1479": 22, "1480": 23, "1485": 24, "1486": 25, "1487": 26, "1489": 27, "1493": 28, "1494": 29, "1497": 30, "15": 31, "1501": 32, "151": 33, "1510": 34, "1515": 35, "1590": 36, "16": 37, "18": 38, "181": 39, "182": 40, "188": 41, "22": 42, "23": 43, "23381": 44, "23512": 45, "23517": 46, "24": 47, "28": 48, "29": 49, "3": 50, "300": 51, "307": 52, "31": 53, "312": 54, "32": 55, "334": 56, "37": 57, "375": 58, "377": 59, "38": 60, "40496": 61, "40498": 62, "40499": 63, "40536": 64, "40668": 65, "40670": 66, "40685": 67, "40701": 68, "40900": 69, "40923": 70, "40927": 71, "40966": 72, "40975": 73, "40978": 74, "40979": 75, "40981": 76, "40982": 77, "40983": 78, "40984": 79, "40994": 80, "40996": 81, "41027": 82, "41138": 83, "41142": 84, "41143": 85, "41146": 86, "41150": 87, "41156": 88, "41157": 89, "41159": 90, "41161": 91, "41162": 92, "41163": 93, "41164": 94, "41165": 95, "41166": 96, "41168": 97, "41169": 98, "41212": 99, "41216": 100, "41278": 101, "4134": 102, "4135": 103, "4154": 104, "42": 105, "44": 106, "4534": 107, "4538": 108, "4541": 109, "458": 110, "46": 111, "469": 112, "470": 113, "50": 114, "54": 115, "554": 116, "6": 117, "60": 118, "6332": 119}}
yahpo/rbv2_ranger/metadata.json ADDED
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+ {"metric_elapsed_time": "time", "metric_default": "val_accuracy", "resource_attr": "st_worker_iter"}
yahpo/rbv2_ranger/model.onnx ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:2bf0fc3d5941dc1fa46e43812261f43a3ff66b386669167f434de46fe4093239
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+ size 19342716
yahpo/rbv2_ranger/param_set.R ADDED
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+ codomain = ps(
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+ acc = p_dbl(lower = 0, upper = 1, tags = "maximize"),
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+ bac = p_dbl(lower = 0, upper = 1, tags = "maximize"),
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+ f1 = p_dbl(lower = 0, upper = 1, tags = "maximize"),
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+ auc = p_dbl(lower = 0, upper = 1, tags = "maximize"),
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+ brier = p_dbl(lower = 0, upper = 1, tags = "minimize"),
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+ logloss = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
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+ timetrain = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
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+ timepredict = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
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+ memory = p_dbl(lower = 0, upper = Inf, tags = "minimize")
11
+ )
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+
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+
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+ search_space = ps(
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+ num.trees = p_int(lower = 1L, upper = 2000L),
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+ # replace = p_lgl(),
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+ sample.fraction = p_dbl(lower = 0.1, upper = 1),
18
+ mtry.power = p_dbl(lower = 0, upper = 1),
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+ respect.unordered.factors = p_fct(levels = c("ignore", "order", "partition")),
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+ min.node.size = p_int(lower = 1L, upper = 100L),
21
+ splitrule = p_fct(levels = c("gini", "extratrees")),
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+ num.random.splits = p_int(lower = 1L, upper = 100L, depends = splitrule == "extratrees"),
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+ trainsize = p_dbl(lower = 0.03, upper = 1, tags = "budget"),
24
+ repl = p_int(lower = 1L, upper = 10L, tags = "budget"),
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+ num.impute.selected.cpo = p_fct(levels = c("impute.mean", "impute.median", "impute.hist")),
26
+ task_id = p_fct(levels = c("4135", "40981", "4134", "1220", "4154", "4538", "40978", "375",
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+ "40496", "40966", "4534", "40900", "40536", "41156", "1590",
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+ "1457", "458", "469", "41157", "11", "1461", "1462", "1464",
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+ "15", "40975", "41142", "40701", "40994", "23", "1468", "40668",
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+ "29", "31", "6332", "37", "40670", "23381", "151", "188", "41164",
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+ "1475", "1476", "1478", "1479", "41212", "1480", "41143", "1053",
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+ "41027", "1067", "1063", "3", "6", "1485", "1056", "12", "14",
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+ "16", "18", "40979", "22", "1515", "334", "24", "1486", "41278",
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+ "28", "1487", "1068", "1050", "1049", "32", "1489", "470", "1494",
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+ "182", "312", "40984", "1501", "40685", "38", "42", "44", "46",
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+ "40982", "1040", "41146", "377", "40499", "50", "54", "41216",
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+ "307", "1497", "60", "1510", "40983", "40498", "181", "41138",
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+ "41163", "1111", "41159", "300", "41162", "23517", "41165", "4541",
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+ "41161", "41166", "40927", "41150", "23512", "41168", "1493",
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+ "40996", "554", "40923", "41169"), tags = "task_id"
41
+ )
42
+ )
43
+
44
+ domain = ps(
45
+ num.trees = p_int(lower = 1L, upper = 2000L),
46
+ # replace = p_lgl(),
47
+ sample.fraction = p_dbl(lower = 0.1, upper = 1),
48
+ mtry.power = p_dbl(lower = 0, upper = 1),
49
+ respect.unordered.factors = p_fct(levels = c("ignore", "order", "partition")),
50
+ min.node.size = p_int(lower = 1L, upper = 100L),
51
+ splitrule = p_fct(levels = c("gini", "extratrees")),
52
+ num.random.splits = p_int(lower = 1L, upper = 100L, depends = splitrule == "extratrees"),
53
+ trainsize = p_dbl(lower = 0.03, upper = 1, tags = "budget"),
54
+ repl = p_int(lower = 1L, upper = 10L, tags = "budget"),
55
+ num.impute.selected.cpo = p_fct(levels = c("impute.mean", "impute.median", "impute.hist")),
56
+ task_id = p_fct(levels = c("4135", "40981", "4134", "1220", "4154", "4538", "40978", "375",
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+ "40496", "40966", "4534", "40900", "40536", "41156", "1590",
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+ "1457", "458", "469", "41157", "11", "1461", "1462", "1464",
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+ "15", "40975", "41142", "40701", "40994", "23", "1468", "40668",
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+ "29", "31", "6332", "37", "40670", "23381", "151", "188", "41164",
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+ "1475", "1476", "1478", "1479", "41212", "1480", "41143", "1053",
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+ "41027", "1067", "1063", "3", "6", "1485", "1056", "12", "14",
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+ "16", "18", "40979", "22", "1515", "334", "24", "1486", "41278",
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+ "28", "1487", "1068", "1050", "1049", "32", "1489", "470", "1494",
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+ "182", "312", "40984", "1501", "40685", "38", "42", "44", "46",
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+ "40982", "1040", "41146", "377", "40499", "50", "54", "41216",
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+ "307", "1497", "60", "1510", "40983", "40498", "181", "41138",
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+ "41163", "1111", "41159", "300", "41162", "23517", "41165", "4541",
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+ "41161", "41166", "40927", "41150", "23512", "41168", "1493",
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+ "40996", "554", "40923", "41169"), tags = "task_id"
71
+ )
72
+ )