yahpo-iaml_xgboost/config_space.json

{
  "hyperparameters": [
    {
      "name": "alpha",
      "type": "uniform_float",
      "log": true,
      "lower": 0.00010000000000000009,
      "upper": 999.9999999999998,
      "default": 0.316227766
    },
    {
      "name": "booster",
      "type": "categorical",
      "choices": [
        "gblinear",
        "gbtree",
        "dart"
      ],
      "default": "gblinear",
      "probabilities": null
    },
    {
      "name": "lambda",
      "type": "uniform_float",
      "log": true,
      "lower": 0.00010000000000000009,
      "upper": 999.9999999999998,
      "default": 0.316227766
    },
    {
      "name": "nrounds",
      "type": "uniform_int",
      "log": true,
      "lower": 3,
      "upper": 2000,
      "default": 77
    },
    {
      "name": "subsample",
      "type": "uniform_float",
      "log": false,
      "lower": 0.1,
      "upper": 1.0,
      "default": 0.55
    },
    {
      "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": "colsample_bylevel",
      "type": "uniform_float",
      "log": false,
      "lower": 0.01,
      "upper": 1.0,
      "default": 0.505
    },
    {
      "name": "colsample_bytree",
      "type": "uniform_float",
      "log": false,
      "lower": 0.01,
      "upper": 1.0,
      "default": 0.505
    },
    {
      "name": "eta",
      "type": "uniform_float",
      "log": true,
      "lower": 0.00010000000000000009,
      "upper": 1.0,
      "default": 0.01
    },
    {
      "name": "gamma",
      "type": "uniform_float",
      "log": true,
      "lower": 0.00010000000000000009,
      "upper": 6.999999999999999,
      "default": 0.0264575131
    },
    {
      "name": "max_depth",
      "type": "uniform_int",
      "log": false,
      "lower": 1,
      "upper": 15,
      "default": 8
    },
    {
      "name": "min_child_weight",
      "type": "uniform_float",
      "log": true,
      "lower": 2.718281828459045,
      "upper": 149.99999999999997,
      "default": 20.1926292064
    },
    {
      "name": "rate_drop",
      "type": "uniform_float",
      "log": false,
      "lower": 0.0,
      "upper": 1.0,
      "default": 0.5
    },
    {
      "name": "skip_drop",
      "type": "uniform_float",
      "log": false,
      "lower": 0.0,
      "upper": 1.0,
      "default": 0.5
    }
  ],
  "conditions": [
    {
      "child": "colsample_bylevel",
      "parent": "booster",
      "type": "IN",
      "values": [
        "dart",
        "gbtree"
      ]
    },
    {
      "child": "colsample_bytree",
      "parent": "booster",
      "type": "IN",
      "values": [
        "dart",
        "gbtree"
      ]
    },
    {
      "child": "eta",
      "parent": "booster",
      "type": "IN",
      "values": [
        "dart",
        "gbtree"
      ]
    },
    {
      "child": "gamma",
      "parent": "booster",
      "type": "IN",
      "values": [
        "dart",
        "gbtree"
      ]
    },
    {
      "child": "max_depth",
      "parent": "booster",
      "type": "IN",
      "values": [
        "dart",
        "gbtree"
      ]
    },
    {
      "child": "min_child_weight",
      "parent": "booster",
      "type": "IN",
      "values": [
        "dart",
        "gbtree"
      ]
    },
    {
      "child": "rate_drop",
      "parent": "booster",
      "type": "EQ",
      "value": "dart"
    },
    {
      "child": "skip_drop",
      "parent": "booster",
      "type": "EQ",
      "value": "dart"
    }
  ],
  "forbiddens": [],
  "python_module_version": "0.4.19",
  "json_format_version": 0.2
}