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Upload blackbox yahpo-rbv2_rpart

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yahpo/rbv2_rpart/best_params_resnet.json ADDED
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+ {"d": 128, "d_hidden_factor": 2.9531195897848224, "hidden_dropout": 0.3893535073967131, "lr": 0.003079328662074934, "mixup": false, "n_layers": 3, "opt_tfms_acc": true, "opt_tfms_auc": true, "opt_tfms_bac": true, "opt_tfms_brier": true, "opt_tfms_cp": true, "opt_tfms_f1": false, "opt_tfms_logloss": false, "opt_tfms_maxdepth": true, "opt_tfms_memory": false, "opt_tfms_minbucket": true, "opt_tfms_minsplit": true, "opt_tfms_repl": true, "opt_tfms_timepredict": false, "opt_tfms_timetrain": true, "opt_tfms_trainsize": true, "tfms_acc": "tlog", "tfms_auc": "tlog", "tfms_bac": "tlog", "tfms_brier": "tlog", "tfms_cp": "tnexp", "tfms_maxdepth": "tlog", "tfms_minbucket": "tlog", "tfms_minsplit": "tnexp", "tfms_repl": "tnexp", "tfms_timetrain": "tnexp", "tfms_trainsize": "tlog", "use_residual_dropout": false}
yahpo/rbv2_rpart/config_space.json ADDED
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+ {
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+ },
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+ "lower": 1,
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+ "upper": 100,
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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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+ "conditions": [],
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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_rpart/encoding.json ADDED
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+ {"num.impute.selected.cpo": {"#na#": 0, "impute.hist": 1, "impute.mean": 2, "impute.median": 3}, "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, "4134": 100, "4135": 101, "4154": 102, "42": 103, "44": 104, "4534": 105, "4538": 106, "4541": 107, "458": 108, "46": 109, "469": 110, "470": 111, "50": 112, "54": 113, "554": 114, "6": 115, "60": 116, "6332": 117}}
yahpo/rbv2_rpart/metadata.json ADDED
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+ {"metric_elapsed_time": "time", "metric_default": "val_accuracy", "resource_attr": "st_worker_iter"}
yahpo/rbv2_rpart/model.onnx ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:af34bb810107fd809bdd74be227685fb2a1c5cb7b1f3c2dde5629e42ef6819f3
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+ size 1827105
yahpo/rbv2_rpart/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")
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+ )
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+
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+
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+ search_space = ps(
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+ cp = p_dbl(lower = -7, upper = 0, tags = "log", trafo = function(x) exp(x)),
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+ maxdepth = p_int(lower = 1L, upper = 30L),
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+ minbucket = p_int(lower = 1L, upper = 100L),
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+ minsplit = p_int(lower = 1L, upper = 100L),
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+ trainsize = p_dbl(lower = 0.03, upper = 1, tags = "budget"),
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+ 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")),
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+ task_id = p_fct(levels = c("41138", "4135", "40981", "4134", "40927", "1220", "4154",
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+ "50", "54", "41166", "307", "1497", "60", "1510", "40983", "40498",
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+ "181"), tags = "task_id"
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+ )
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+ )
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+
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+ domain = ps(
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+ cp = p_dbl(lower = exp(-7), upper = exp(0)),
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+ maxdepth = p_int(lower = 1L, upper = 30L),
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+ minbucket = p_int(lower = 1L, upper = 100L),
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+ minsplit = p_int(lower = 1L, upper = 100L),
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+ trainsize = p_dbl(lower = 0.03, upper = 1, tags = "budget"),
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+ 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")),
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+ task_id = p_fct(levels = c("41138", "4135", "40981", "4134", "40927", "1220", "4154",
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+ "181"), tags = "task_id"
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+ )
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+ )