Delete yahpo-iaml_ranger

yahpo-iaml_ranger/best_params_resnet.json

@@ -1 +0,0 @@
-{"d": 512, "d_hidden_factor": 2.2494375076022086, "hidden_dropout": 0.03397549242844672, "lr": 0.0005620479756574539, "mixup": false, "n_layers": 4, "opt_tfms_auc": false, "opt_tfms_f1": false, "opt_tfms_ias": true, "opt_tfms_logloss": false, "opt_tfms_mec": true, "opt_tfms_min.node.size": false, "opt_tfms_mmce": true, "opt_tfms_mtry.ratio": false, "opt_tfms_num.random.splits": false, "opt_tfms_num.trees": true, "opt_tfms_rammodel": true, "opt_tfms_rampredict": true, "opt_tfms_ramtrain": false, "opt_tfms_sample.fraction": true, "opt_tfms_timepredict": true, "opt_tfms_timetrain": false, "opt_tfms_trainsize": false, "tfms_ias": "tlog", "tfms_mec": "tlog", "tfms_mmce": "tnexp", "tfms_num.trees": "tlog", "tfms_rammodel": "tlog", "tfms_rampredict": "tlog", "tfms_sample.fraction": "tlog", "tfms_timepredict": "tlog", "use_residual_dropout": false}

yahpo-iaml_ranger/config_space.json

@@ -1,106 +0,0 @@
-{
-  "hyperparameters": [
-    {
-      "name": "min.node.size",
-      "type": "uniform_int",
-      "log": false,
-      "lower": 1,
-      "upper": 100,
-      "default": 50
-    },
-    {
-      "name": "mtry.ratio",
-      "type": "uniform_float",
-      "log": false,
-      "lower": 0.0,
-      "upper": 1.0,
-      "default": 0.5
-    },
-    {
-      "name": "num.trees",
-      "type": "uniform_int",
-      "log": false,
-      "lower": 1,
-      "upper": 2000,
-      "default": 1000
-    },
-    {
-      "name": "replace",
-      "type": "categorical",
-      "choices": [
-        "TRUE",
-        "FALSE"
-      ],
-      "default": "TRUE",
-      "probabilities": null
-    },
-    {
-      "name": "respect.unordered.factors",
-      "type": "categorical",
-      "choices": [
-        "ignore",
-        "order",
-        "partition"
-      ],
-      "default": "ignore",
-      "probabilities": null
-    },
-    {
-      "name": "sample.fraction",
-      "type": "uniform_float",
-      "log": false,
-      "lower": 0.1,
-      "upper": 1.0,
-      "default": 0.55
-    },
-    {
-      "name": "splitrule",
-      "type": "categorical",
-      "choices": [
-        "gini",
-        "extratrees"
-      ],
-      "default": "gini",
-      "probabilities": null
-    },
-    {
-      "name": "task_id",
-      "type": "categorical",
-      "choices": [
-        "40981",
-        "41146",
-        "1489",
-        "1067"
-      ],
-      "default": "40981",
-      "probabilities": null
-    },
-    {
-      "name": "trainsize",
-      "type": "uniform_float",
-      "log": false,
-      "lower": 0.03,
-      "upper": 1.0,
-      "default": 0.525
-    },
-    {
-      "name": "num.random.splits",
-      "type": "uniform_int",
-      "log": false,
-      "lower": 1,
-      "upper": 100,
-      "default": 50
-    }
-  ],
-  "conditions": [
-    {
-      "child": "num.random.splits",
-      "parent": "splitrule",
-      "type": "EQ",
-      "value": "extratrees"
-    }
-  ],
-  "forbiddens": [],
-  "python_module_version": "0.4.19",
-  "json_format_version": 0.2
-}

yahpo-iaml_ranger/encoding.json

@@ -1 +0,0 @@
-{"replace": {"#na#": 0, "FALSE": 1, "TRUE": 2}, "respect.unordered.factors": {"#na#": 0, "ignore": 1, "order": 2, "partition": 3}, "splitrule": {"#na#": 0, "extratrees": 1, "gini": 2}, "task_id": {"#na#": 0, "1067": 1, "1489": 2, "40981": 3, "41146": 4}}

yahpo-iaml_ranger/metadata.json

@@ -1 +0,0 @@
-{"metric_elapsed_time": "time", "metric_default": "val_accuracy", "resource_attr": "st_worker_iter"}

yahpo-iaml_ranger/model.onnx

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1ed2779d20f0938535512008779f28ef350dc479219beaab660d658e2e730e6c
-size 28482414

yahpo-iaml_ranger/param_set.R

@@ -1,40 +0,0 @@
-search_space = ps(
-  num.trees = p_int(lower = 1L, upper = 2000L),
-  replace = p_lgl(),
-  sample.fraction = p_dbl(lower = 0.1, upper = 1),
-  mtry.ratio = p_dbl(lower = 0, upper = 1),
-  respect.unordered.factors = p_fct(levels = c("ignore", "order", "partition")),
-  min.node.size = p_int(lower = 1L, upper = 100L),
-  splitrule = p_fct(levels = c("gini", "extratrees")),
-  num.random.splits = p_int(lower = 1L, upper = 100L, depends = splitrule == "extratrees"),
-  trainsize = p_dbl(lower = 0.03, upper = 1, tags = "budget"),
-  task_id = p_fct(levels = c("40981", "41146", "1489", "1067"), tags = "task_id")
-)
-
-domain = ps(
-  num.trees = p_int(lower = 1L, upper = 2000L),
-  replace = p_lgl(),
-  sample.fraction = p_dbl(lower = 0.1, upper = 1),
-  mtry.ratio = p_dbl(lower = 0, upper = 1),
-  respect.unordered.factors = p_fct(levels = c("ignore", "order", "partition")),
-  min.node.size = p_int(lower = 1L, upper = 100L),
-  splitrule = p_fct(levels = c("gini", "extratrees")),
-  num.random.splits = p_int(lower = 1L, upper = 100L, depends = splitrule == "extratrees"),
-  trainsize = p_dbl(lower = 0.03, upper = 1, tags = "budget"),
-  task_id = p_fct(levels = c("40981", "41146", "1489", "1067"), tags = "task_id")
-)
-
-codomain = ps(
-  mmce = p_dbl(lower = 0, upper = 1, tags = "minimize"),
-  f1 = p_dbl(lower = 0, upper = 1, tags = "maximize"),
-  auc = p_dbl(lower = 0, upper = 1, tags = "maximize"),
-  logloss = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
-  ramtrain = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
-  rammodel = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
-  rampredict = 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"),
-  mec = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
-  ias = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
-  nf = p_dbl(lower = 0, upper = Inf, tags = "minimize")
-)