Delete yahpo-lcbench

yahpo-lcbench/LICENSE-2.0.txt

@@ -1,202 +0,0 @@
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yahpo-lcbench/README.txt

@@ -1,3 +0,0 @@
-data.csv and data.rds are preprocessed versions of the following dataset released under the Apache 2.0 license:
-https://doi.org/10.6084/m9.figshare.13286105.v1
-See LICENSE-2.0.txt

yahpo-lcbench/best_params_resnet.json

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-{"d": 128, "d_hidden_factor": 3.561087404597099, "hidden_dropout": 0.28053214128569115, "lr": 0.004362484717820209, "mixup": true, "n_layers": 3, "opt_tfms_batch_size": false, "opt_tfms_epoch": true, "opt_tfms_learning_rate": true, "opt_tfms_max_dropout": false, "opt_tfms_max_units": false, "opt_tfms_momentum": false, "opt_tfms_num_layers": false, "opt_tfms_test_balanced_accuracy": true, "opt_tfms_test_cross_entropy": false, "opt_tfms_time": false, "opt_tfms_val_accuracy": true, "opt_tfms_val_balanced_accuracy": true, "opt_tfms_val_cross_entropy": false, "opt_tfms_weight_decay": true, "tfms_epoch": "tlog", "tfms_learning_rate": "tlog", "tfms_test_balanced_accuracy": "tlog", "tfms_val_accuracy": "tlog", "tfms_val_balanced_accuracy": "tlog", "tfms_weight_decay": "tlog", "use_residual_dropout": false}

yahpo-lcbench/config_space.json

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-{
-  "hyperparameters": [
-    {
-      "name": "OpenML_task_id",
-      "type": "categorical",
-      "choices": [
-        "3945",
-        "7593",
-        "34539",
-        "126025",
-        "126026",
-        "126029",
-        "146212",
-        "167104",
-        "167149",
-        "167152",
-        "167161",
-        "167168",
-        "167181",
-        "167184",
-        "167185",
-        "167190",
-        "167200",
-        "167201",
-        "168329",
-        "168330",
-        "168331",
-        "168335",
-        "168868",
-        "168908",
-        "168910",
-        "189354",
-        "189862",
-        "189865",
-        "189866",
-        "189873",
-        "189905",
-        "189906",
-        "189908",
-        "189909"
-      ],
-      "default": "3945",
-      "probabilities": null
-    },
-    {
-      "name": "batch_size",
-      "type": "uniform_int",
-      "log": true,
-      "lower": 16,
-      "upper": 512,
-      "default": 91
-    },
-    {
-      "name": "epoch",
-      "type": "uniform_int",
-      "log": false,
-      "lower": 1,
-      "upper": 52,
-      "default": 26
-    },
-    {
-      "name": "learning_rate",
-      "type": "uniform_float",
-      "log": true,
-      "lower": 0.00010000000000000009,
-      "upper": 0.10000000000000002,
-      "default": 0.0031622777
-    },
-    {
-      "name": "max_dropout",
-      "type": "uniform_float",
-      "log": false,
-      "lower": 0.0,
-      "upper": 1.0,
-      "default": 0.5
-    },
-    {
-      "name": "max_units",
-      "type": "uniform_int",
-      "log": true,
-      "lower": 64,
-      "upper": 1024,
-      "default": 256
-    },
-    {
-      "name": "momentum",
-      "type": "uniform_float",
-      "log": false,
-      "lower": 0.1,
-      "upper": 0.99,
-      "default": 0.545
-    },
-    {
-      "name": "num_layers",
-      "type": "uniform_int",
-      "log": false,
-      "lower": 1,
-      "upper": 5,
-      "default": 3
-    },
-    {
-      "name": "weight_decay",
-      "type": "uniform_float",
-      "log": false,
-      "lower": 1e-05,
-      "upper": 0.1,
-      "default": 0.050005
-    }
-  ],
-  "conditions": [],
-  "forbiddens": [],
-  "python_module_version": "0.4.18",
-  "json_format_version": 0.2
-}

yahpo-lcbench/encoding.json

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-{"OpenML_task_id": {"#na#": 0, "126025": 1, "126026": 2, "126029": 3, "146212": 4, "167083": 5, "167104": 6, "167149": 7, "167152": 8, "167161": 9, "167168": 10, "167181": 11, "167184": 12, "167185": 13, "167190": 14, "167200": 15, "167201": 16, "168329": 17, "168330": 18, "168331": 19, "168335": 20, "168868": 21, "168908": 22, "168910": 23, "189354": 24, "189862": 25, "189865": 26, "189866": 27, "189873": 28, "189905": 29, "189906": 30, "189908": 31, "189909": 32, "34539": 33, "3945": 34, "7593": 35}}

yahpo-lcbench/metadata.json

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

yahpo-lcbench/model.onnx

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-version https://git-lfs.github.com/spec/v1
-oid sha256:b45c0d85ae39abf8820c8bea5ac82f415763afcbaf3b725e36af452b09cb6dcd
-size 2153124

yahpo-lcbench/model_noisy.onnx

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:87594f6e25fa489a0d80408184043e652e0ede6da90e82492683514324728de9
-size 6465003

yahpo-lcbench/param_set.R

@@ -1,48 +0,0 @@
-search_space = ParamSet$new(list(
-  ParamFct$new("OpenML_task_id", levels = c(
-    "3945",   "7593",  "34539", "126025", "126026", "126029", "146212",
-    "167104", "167149", "167152", "167161", "167168", "167181", "167184", "167185",
-    "167190", "167200", "167201", "168329", "168330", "168331", "168335", "168868",
-    "168908", "168910", "189354", "189862", "189865", "189866", "189873", "189905",
-    "189906", "189908", "189909"), tags = "task_id"),
-  ParamInt$new("epoch", lower = 1L, upper = 52L, tags = "budget"),
-  ParamDbl$new("batch_size", lower = log(16L), upper = log(512L), tags = c("int", "log")),
-  ParamDbl$new("learning_rate", lower = log(1e-4), upper = log(1e-1), tags = "log"),
-  ParamDbl$new("momentum", lower = 0.1, upper = 0.99),
-  ParamDbl$new("weight_decay", lower = 1e-5, upper = 1e-1),
-  ParamInt$new("num_layers", lower = 1L, upper = 5L),
-  ParamDbl$new("max_units", lower = log(64L), upper = log(1024L), tags = c("int", "log")),
-  ParamDbl$new("max_dropout", lower = 0, upper = 1))
-)
-search_space$trafo = function(x, param_set) {
-  x$batch_size = as.integer(round(exp(x$batch_size)))
-  x$learning_rate = exp(x$learning_rate)
-  x$max_units = as.integer(round(exp(x$max_units)))
-  x
-}
-
-domain = ParamSet$new(list(
-  ParamFct$new("OpenML_task_id", levels = c(
-    "3945",   "7593",  "34539", "126025", "126026", "126029", "146212",
-    "167104", "167149", "167152", "167161", "167168", "167181", "167184", "167185",
-    "167190", "167200", "167201", "168329", "168330", "168331", "168335", "168868",
-    "168908", "168910", "189354", "189862", "189865", "189866", "189873", "189905",
-    "189906", "189908", "189909"), tags = "task_id"),
-  ParamInt$new("epoch", lower = 1L, upper = 52L, tags = "budget"),
-  ParamInt$new("batch_size", lower = 16L, upper = 512L),
-  ParamDbl$new("learning_rate", lower = 1e-4, upper = 1e-1),
-  ParamDbl$new("momentum", lower = 0.1, upper = 0.99),
-  ParamDbl$new("weight_decay", lower = 1e-5, upper = 1e-1),
-  ParamInt$new("num_layers", lower = 1L, upper = 5L),
-  ParamInt$new("max_units", lower = 64L, upper = 1024L),
-  ParamDbl$new("max_dropout", lower = 0, upper = 1))
-)
-
-codomain = ps(
-  val_accuracy = p_dbl(lower = 0, upper = 100, tags = "maximize"),
-  val_cross_entropy = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
-  val_balanced_accuracy = p_dbl(lower = 0, upper = 1, tags = "maximize"),
-  test_cross_entropy = p_dbl(lower = 0, upper = Inf, tags = "minimize"),
-  test_balanced_accuracy = p_dbl(lower = 0, upper = 1, tags = "maximize"),
-  time = p_dbl(lower = 0, upper = Inf, tags = "minimize")
-)