Upload blackbox yahpo-rbv2_glmnet

yahpo/rbv2_glmnet/best_params_resnet.json

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+{"d": 320, "d_hidden_factor": 3.476244367836683, "hidden_dropout": 0.2633577268460061, "lr": 0.0017618451959961758, "mixup": false, "n_layers": 5, "opt_tfms_acc": true, "opt_tfms_alpha": true, "opt_tfms_auc": true, "opt_tfms_bac": true, "opt_tfms_brier": true, "opt_tfms_f1": false, "opt_tfms_logloss": true, "opt_tfms_memory": false, "opt_tfms_repl": false, "opt_tfms_s": true, "opt_tfms_timepredict": true, "opt_tfms_timetrain": false, "opt_tfms_trainsize": true, "tfms_acc": "tlog", "tfms_alpha": "tlog", "tfms_auc": "tlog", "tfms_bac": "tlog", "tfms_brier": "tnexp", "tfms_logloss": "tnexp", "tfms_s": "tlog", "tfms_timepredict": "tnexp", "tfms_trainsize": "tnexp", "use_residual_dropout": false}

yahpo/rbv2_glmnet/config_space.json

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+{
+  "hyperparameters": [
+    {
+      "name": "alpha",
+      "type": "uniform_float",
+      "log": false,
+      "lower": 0.0,
+      "upper": 1.0,
+      "default": 1.0
+    },
+    {
+      "name": "num.impute.selected.cpo",
+      "type": "categorical",
+      "choices": [
+        "impute.mean",
+        "impute.median",
+        "impute.hist"
+      ],
+      "default": "impute.mean",
+      "probabilities": null
+    },
+    {
+      "name": "repl",
+      "type": "uniform_int",
+      "log": false,
+      "lower": 1,
+      "upper": 10,
+      "default": 6
+    },
+    {
+      "name": "s",
+      "type": "uniform_float",
+      "log": true,
+      "lower": 0.0009118819655545162,
+      "upper": 1096.6331584284585,
+      "default": 1.0
+    },
+    {
+      "name": "task_id",
+      "type": "categorical",
+      "choices": [
+        "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"
+      ],
+      "default": "1040",
+      "probabilities": null
+    },
+    {
+      "name": "trainsize",
+      "type": "uniform_float",
+      "log": false,
+      "lower": 0.03,
+      "upper": 1.0,
+      "default": 0.525
+    }
+  ],
+  "conditions": [],
+  "forbiddens": [],
+  "python_module_version": "0.4.18",
+  "json_format_version": 0.2
+}

yahpo/rbv2_glmnet/encoding.json

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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, "40966": 70, "40975": 71, "40978": 72, "40979": 73, "40981": 74, "40982": 75, "40983": 76, "40984": 77, "40994": 78, "41027": 79, "41138": 80, "41142": 81, "41143": 82, "41146": 83, "41150": 84, "41156": 85, "41157": 86, "41159": 87, "41161": 88, "41162": 89, "41163": 90, "41164": 91, "41166": 92, "41168": 93, "41169": 94, "41212": 95, "41216": 96, "41278": 97, "4134": 98, "4135": 99, "4154": 100, "42": 101, "44": 102, "4534": 103, "4538": 104, "4541": 105, "458": 106, "46": 107, "469": 108, "470": 109, "50": 110, "54": 111, "554": 112, "6": 113, "60": 114, "6332": 115}}

yahpo/rbv2_glmnet/metadata.json

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+{"metric_elapsed_time": "time", "metric_default": "val_accuracy", "resource_attr": "st_worker_iter"}

yahpo/rbv2_glmnet/model.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:21a6280abaa5409e3d4343de7cb6c0d26e192db000091ce52082578f8df094c4
+size 21554289

yahpo/rbv2_glmnet/param_set.R

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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"
+  )
+)