|
| 1 | +{ |
| 2 | + "common": { |
| 3 | + "lib": "xgboost", |
| 4 | + "data-format": "cudf", |
| 5 | + "data-order": "F", |
| 6 | + "dtype": "float32", |
| 7 | + "algorithm": "gbt", |
| 8 | + "tree-method": "gpu_hist", |
| 9 | + "count-dmatrix": "", |
| 10 | + "max-depth": 8, |
| 11 | + "learning-rate": 0.1, |
| 12 | + "reg-lambda": 1, |
| 13 | + "max-leaves": 256 |
| 14 | + }, |
| 15 | + "cases": [ |
| 16 | + { |
| 17 | + "objective": "binary:logistic", |
| 18 | + "scale-pos-weight": 2.1067817411664587, |
| 19 | + "dataset": [ |
| 20 | + { |
| 21 | + "source": "npy", |
| 22 | + "name": "airline", |
| 23 | + "training": { |
| 24 | + "x": "data/airline_x_train.npy", |
| 25 | + "y": "data/airline_y_train.npy" |
| 26 | + }, |
| 27 | + "testing": { |
| 28 | + "x": "data/airline_x_test.npy", |
| 29 | + "y": "data/airline_y_test.npy" |
| 30 | + } |
| 31 | + } |
| 32 | + ] |
| 33 | + }, |
| 34 | + { |
| 35 | + "objective": "binary:logistic", |
| 36 | + "scale-pos-weight": 173.63348001466812, |
| 37 | + "dataset": [ |
| 38 | + { |
| 39 | + "source": "npy", |
| 40 | + "name": "bosch", |
| 41 | + "training": { |
| 42 | + "x": "data/bosch_x_train.npy", |
| 43 | + "y": "data/bosch_y_train.npy" |
| 44 | + }, |
| 45 | + "testing": { |
| 46 | + "x": "data/bosch_x_test.npy", |
| 47 | + "y": "data/bosch_y_test.npy" |
| 48 | + } |
| 49 | + } |
| 50 | + ] |
| 51 | + }, |
| 52 | + { |
| 53 | + "objective": "multi:softmax", |
| 54 | + "dataset": [ |
| 55 | + { |
| 56 | + "source": "npy", |
| 57 | + "name": "covtype", |
| 58 | + "training": { |
| 59 | + "x": "data/covtype_x_train.npy", |
| 60 | + "y": "data/covtype_y_train.npy" |
| 61 | + }, |
| 62 | + "testing": { |
| 63 | + "x": "data/covtype_x_test.npy", |
| 64 | + "y": "data/covtype_y_test.npy" |
| 65 | + } |
| 66 | + } |
| 67 | + ] |
| 68 | + }, |
| 69 | + { |
| 70 | + "objective": "binary:logistic", |
| 71 | + "scale-pos-weight": 2.0017715678375363, |
| 72 | + "dataset": [ |
| 73 | + { |
| 74 | + "source": "npy", |
| 75 | + "name": "epsilon", |
| 76 | + "training": { |
| 77 | + "x": "data/epsilon_x_train.npy", |
| 78 | + "y": "data/epsilon_y_train.npy" |
| 79 | + }, |
| 80 | + "testing": { |
| 81 | + "x": "data/epsilon_x_test.npy", |
| 82 | + "y": "data/epsilon_y_test.npy" |
| 83 | + } |
| 84 | + } |
| 85 | + ] |
| 86 | + }, |
| 87 | + { |
| 88 | + "objective": "binary:logistic", |
| 89 | + "scale-pos-weight": 578.2868020304569, |
| 90 | + "dataset": [ |
| 91 | + { |
| 92 | + "source": "npy", |
| 93 | + "name": "fraud", |
| 94 | + "training": { |
| 95 | + "x": "data/fraud_x_train.npy", |
| 96 | + "y": "data/fraud_y_train.npy" |
| 97 | + }, |
| 98 | + "testing": { |
| 99 | + "x": "data/fraud_x_test.npy", |
| 100 | + "y": "data/fraud_y_test.npy" |
| 101 | + } |
| 102 | + } |
| 103 | + ] |
| 104 | + }, |
| 105 | + { |
| 106 | + "objective": "binary:logistic", |
| 107 | + "scale-pos-weight": 1.8872389605086624, |
| 108 | + "dataset": [ |
| 109 | + { |
| 110 | + "source": "npy", |
| 111 | + "name": "higgs", |
| 112 | + "training": { |
| 113 | + "x": "data/higgs_x_train.npy", |
| 114 | + "y": "data/higgs_y_train.npy" |
| 115 | + }, |
| 116 | + "testing": { |
| 117 | + "x": "data/higgs_x_test.npy", |
| 118 | + "y": "data/higgs_y_test.npy" |
| 119 | + } |
| 120 | + } |
| 121 | + ] |
| 122 | + }, |
| 123 | + { |
| 124 | + "objective": "reg:squarederror", |
| 125 | + "dataset": [ |
| 126 | + { |
| 127 | + "source": "npy", |
| 128 | + "name": "year_prediction_msd", |
| 129 | + "training": { |
| 130 | + "x": "data/year_prediction_msd_x_train.npy", |
| 131 | + "y": "data/year_prediction_msd_y_train.npy" |
| 132 | + }, |
| 133 | + "testing": { |
| 134 | + "x": "data/year_prediction_msd_x_test.npy", |
| 135 | + "y": "data/year_prediction_msd_y_test.npy" |
| 136 | + } |
| 137 | + } |
| 138 | + ] |
| 139 | + } |
| 140 | + ] |
| 141 | +} |
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