Upload blackbox yahpo-rbv2_svm

yahpo/rbv2_svm/best_params_resnet.json

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+{"d": 256, "d_hidden_factor": 2.825666228947733, "hidden_dropout": 0.22851788850647428, "lr": 0.0007036627426044551, "mixup": false, "n_layers": 3, "opt_tfms_acc": false, "opt_tfms_auc": true, "opt_tfms_bac": true, "opt_tfms_brier": true, "opt_tfms_cost": true, "opt_tfms_degree": false, "opt_tfms_f1": false, "opt_tfms_gamma": true, "opt_tfms_logloss": true, "opt_tfms_memory": false, "opt_tfms_repl": false, "opt_tfms_timepredict": false, "opt_tfms_timetrain": false, "opt_tfms_tolerance": true, "opt_tfms_trainsize": false, "tfms_auc": "tlog", "tfms_bac": "tlog", "tfms_brier": "tlog", "tfms_cost": "tlog", "tfms_gamma": "tlog", "tfms_logloss": "tnexp", "tfms_tolerance": "tnexp", "use_residual_dropout": false}

yahpo/rbv2_svm/config_space.json

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+{
+  "hyperparameters": [
+    {
+      "name": "cost",
+      "type": "uniform_float",
+      "log": true,
+      "lower": 4.5399929762484854e-05,
+      "upper": 22026.465794806718,
+      "default": 1.0
+    },
+    {
+      "name": "kernel",
+      "type": "categorical",
+      "choices": [
+        "linear",
+        "polynomial",
+        "radial"
+      ],
+      "default": "linear",
+      "probabilities": null
+    },
+    {
+      "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": "task_id",
+      "type": "categorical",
+      "choices": ["40981","4134","1220","40978","40966","40536","41156","458","41157","40975","40994","1468","6332","40670","151","1475","1476","1478","1479","41212","1480","1053","1067","1056","12","1487","1068","32","470","312","38","40982","50","41216","307","40498","181","1464","41164","16","1461","41162","6","14","1494","54","375","1590","23","41163","1111","41027","40668","41138","4135","4538","40496","4534","40900","1457","11","1462","41142","40701","29","37","23381","188","41143","1063","3","18","40979","22","1515","334","24","1493","28","1050","1049","40984","40685","42","44","46","1040","41146","377","40499","1497","60","40983","4154","469","31","41278","1489","1501","15","300","1485","1486","1510","182","41169"
+      ],
+      "default": "1040",
+      "probabilities": null
+    },
+    {
+      "name": "tolerance",
+      "type": "uniform_float",
+      "log": true,
+      "lower": 4.5399929762484854e-05,
+      "upper": 2.0,
+      "default": 0.009528896
+    },
+    {
+      "name": "trainsize",
+      "type": "uniform_float",
+      "log": false,
+      "lower": 0.03,
+      "upper": 1.0,
+      "default": 0.525
+    },
+    {
+      "name": "degree",
+      "type": "uniform_int",
+      "log": false,
+      "lower": 2,
+      "upper": 5,
+      "default": 4
+    },
+    {
+      "name": "gamma",
+      "type": "uniform_float",
+      "log": true,
+      "lower": 4.5399929762484854e-05,
+      "upper": 22026.465794806718,
+      "default": 1.0
+    }
+  ],
+  "conditions": [
+    {
+      "child": "degree",
+      "parent": "kernel",
+      "type": "EQ",
+      "value": "polynomial"
+    },
+    {
+      "child": "gamma",
+      "parent": "kernel",
+      "type": "EQ",
+      "value": "radial"
+    }
+  ],
+  "forbiddens": [],
+  "python_module_version": "0.4.18",
+  "json_format_version": 0.2
+}

yahpo/rbv2_svm/encoding.json

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+{"kernel": {"#na#": 0, "linear": 1, "polynomial": 2, "radial": 3}, "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, "24": 45, "28": 46, "29": 47, "3": 48, "300": 49, "307": 50, "31": 51, "312": 52, "32": 53, "334": 54, "37": 55, "375": 56, "377": 57, "38": 58, "40496": 59, "40498": 60, "40499": 61, "40536": 62, "40668": 63, "40670": 64, "40685": 65, "40701": 66, "40900": 67, "40966": 68, "40975": 69, "40978": 70, "40979": 71, "40981": 72, "40982": 73, "40983": 74, "40984": 75, "40994": 76, "41027": 77, "41138": 78, "41142": 79, "41143": 80, "41146": 81, "41156": 82, "41157": 83, "41162": 84, "41163": 85, "41164": 86, "41169": 87, "41212": 88, "41216": 89, "41278": 90, "4134": 91, "4135": 92, "4154": 93, "42": 94, "44": 95, "4534": 96, "4538": 97, "458": 98, "46": 99, "469": 100, "470": 101, "50": 102, "54": 103, "6": 104, "60": 105, "6332": 106}}

yahpo/rbv2_svm/metadata.json

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

yahpo/rbv2_svm/model.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e4315a0582286c957358e3defc29ce911f83ff32c997d9a1264fb8711297ae08
+size 6806467

yahpo/rbv2_svm/param_set.R

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+search_space = ps(
+  kernel = p_fct(levels = c("linear", "polynomial", "radial")),
+  cost = p_dbl(lower = -10, upper = 10, tags = "log", trafo = function(x) exp(x)),
+  gamma = p_dbl(lower = -10, upper = 10, tags = "log", trafo = function(x) exp(x), depends = kernel == "radial"),
+  tolerance = p_dbl(lower = -10, upper = log(2), tags = "log", trafo = function(x) exp(x)),
+  degree = p_int(lower = 2L, upper = 5L, depends = kernel == "polynomial"),
+  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("40981", "4134", "1220", "40978", "40966", "40536", "41156",
+"458", "41157", "40975", "40994", "1468", "6332", "40670", "151",
+"1475", "1476", "1478", "1479", "41212", "1480", "1053", "1067",
+"1056", "12", "1487", "1068", "32", "470", "312", "38", "40982",
+"50", "41216", "307", "40498", "181", "1464", "41164", "16",
+"1461", "41162", "6", "14", "1494", "54", "375", "1590", "23",
+"41163", "1111", "41027", "40668", "41138", "4135", "4538", "40496",
+"4534", "40900", "1457", "11", "1462", "41142", "40701", "29",
+"37", "23381", "188", "41143", "1063", "3", "18", "40979", "22",
+"1515", "334", "24", "1493", "28", "1050", "1049", "40984", "40685",
+"42", "44", "46", "1040", "41146", "377", "40499", "1497", "60",
+"40983", "4154", "469", "31", "41278", "1489", "1501", "15",
+"300", "1485", "1486", "1510", "182", "41169"),
+    tags = "task_id"
+  )
+)
+
+domain = ps(
+  kernel = p_fct(levels = c("linear", "polynomial", "radial")),
+  cost = p_dbl(lower = exp(-10), upper = exp(10)),
+  gamma = p_dbl(lower = exp(-10), upper = exp(10), depends = kernel == "radial"),
+  tolerance = p_dbl(lower = exp(-10), upper = 2),
+  degree = p_int(lower = 2L, upper = 5L, depends = kernel == "polynomial"),
+  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("40981", "4134", "1220", "40978", "40966", "40536", "41156",
+"458", "41157", "40975", "40994", "1468", "6332", "40670", "151",
+"1475", "1476", "1478", "1479", "41212", "1480", "1053", "1067",
+"1056", "12", "1487", "1068", "32", "470", "312", "38", "40982",
+"50", "41216", "307", "40498", "181", "1464", "41164", "16",
+"1461", "41162", "6", "14", "1494", "54", "375", "1590", "23",
+"41163", "1111", "41027", "40668", "41138", "4135", "4538", "40496",
+"4534", "40900", "1457", "11", "1462", "41142", "40701", "29",
+"37", "23381", "188", "41143", "1063", "3", "18", "40979", "22",
+"1515", "334", "24", "1493", "28", "1050", "1049", "40984", "40685",
+"42", "44", "46", "1040", "41146", "377", "40499", "1497", "60",
+"40983", "4154", "469", "31", "41278", "1489", "1501", "15",
+"300", "1485", "1486", "1510", "182", "41169"),
+    tags = "task_id"
+  )
+)
+
+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")
+)