WIDS Dataset

wids/stg_wids_ctgan.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_ctgan.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_ctgan.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6aeaea044138ad14fa344c8ca19180a8f9f63c806aa227537bac382e4967a65a
+size 1388231

wids/stg_wids_ctgan_madry.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_ctgan_madry.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_ctgan_madry.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa1bda7fec7f16e9dc6e59d1af886af8cccb9ca21c3977a6f2c6947cb609e198
+size 1388231

wids/stg_wids_cutmix.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_cutmix.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_cutmix.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b3b83a2cb43282ced50017113e812d224a20554e6d9b3d77eb56fe7d735cb02
+size 1388231

wids/stg_wids_cutmix_madry.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_cutmix_madry.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_cutmix_madry.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4297d8f6fefdf7ed6f38d86d447494ab9323efe90b3617e1a54090a289181f87
+size 1388231

wids/stg_wids_default.model/args.json

@@ -0,0 +1,32 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "seed": 42,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_default.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0480d1e654f94f93320feedae8edd9272125d2b9ef942e068afc13cf6b18b16a
+size 1388167

wids/stg_wids_dist.model/args.json

@@ -0,0 +1,32 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "seed": 42,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_dist.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:284f877f78ff3313eb681ceb88b1dde85920959a31fdf46394c6fb66e0f0106f
+size 1388167

wids/stg_wids_goggle.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_goggle.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_goggle.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:601c37ffd8799bb8903d3b9a681c8c63561b538422487efeca06b4f59ed97055
+size 1388231

wids/stg_wids_goggle_madry.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_goggle_madry.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_goggle_madry.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08e3d07a5ce37d482798d30bbf4c97c26155213fa05313ab06cc3d5ed788db4a
+size 1388231

wids/stg_wids_madry.model/args.json

@@ -0,0 +1,32 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "seed": 42,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_madry.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9824645d694e00dd807de8ec8ac0f7fb274c66a110d799faf97943b4ac0628a6
+size 1388167

wids/stg_wids_subset.model/args.json

@@ -0,0 +1,32 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "seed": 42,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_subset.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e2d5641640028489f39ae2bcd395c073e2e496b3b8ed3ede9789e3a1db65ad8a
+size 1388167

wids/stg_wids_tablegan.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_tablegan.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_tablegan.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8cdb16cd93e040fd81b31e46e76e3f3ad78519c170f4b5d102c82bd7fe44a642
+size 1388231

wids/stg_wids_tablegan_madry.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_tablegan_madry.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_tablegan_madry.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f8cc1c694d6d9c926f68c04c128f9737dff1f20b57c00cf1ce43cd46059b263
+size 1388231

wids/stg_wids_tvae.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_tvae.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_tvae.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6b3ac5d03bf62082d4d9195306fe247cd6d500fd5ccc007bc0d3adb11090d64
+size 1388231

wids/stg_wids_tvae_madry.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_tvae_madry.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_tvae_madry.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a5f458c72dc14d5a67d64a219f425b27c145c3ba982f7c540b013f79d6b1db4a
+size 1388231

wids/stg_wids_wgan.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_wgan.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_wgan.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f79a7c7af536b2fc56f4d42b2c05f2944af69344d2d52894b939c21a2abee85e
+size 1388231

wids/stg_wids_wgan_madry.model/args.json

@@ -0,0 +1,35 @@
+{
+    "name": "stg",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": 0.09910064387516969,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "lam": 0.03675976401215312,
+    "hidden_dims": [
+        500,
+        400,
+        20
+    ],
+    "num_classes": 2,
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "stg",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/stg_wids_wgan_madry.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/stg_wids_wgan_madry.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ba905cc59b52a8faf876785c5d7698e913dffea9004891e15567ca321447955
+size 1388231

wids/tabnet_wids_ctgan.model/args.json

@@ -0,0 +1,37 @@
+{
+    "name": "tabnet",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": -3,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "num_classes": 2,
+    "n_d": 15,
+    "n_steps": 4,
+    "gamma": 1.5764779589451128,
+    "cat_emb_dim": 3,
+    "n_independent": 3,
+    "n_shared": 3,
+    "momentum": 0.04967611500740168,
+    "mask_type": "entmax",
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "tabnet",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/tabnet_wids_ctgan.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/tabnet_wids_ctgan.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57c1b25f567e7d9a133bdc3a71440c18b37542a12e226f4a1a6e9b46fdf47bb8
+size 302425

wids/tabnet_wids_ctgan_madry.model/args.json

@@ -0,0 +1,37 @@
+{
+    "name": "tabnet",
+    "objective": "classification",
+    "batch_size": 1024,
+    "epochs": 100,
+    "early_stopping_rounds": 100,
+    "learning_rate": -3,
+    "val_batch_size": 2048,
+    "class_weight": "balanced",
+    "weight_decay": -3,
+    "force_device": "cpu",
+    "is_text": false,
+    "dg_method": null,
+    "seed": 42,
+    "dg_num_groups": 4,
+    "dg_group_method": "random",
+    "num_classes": 2,
+    "n_d": 15,
+    "n_steps": 4,
+    "gamma": 1.5764779589451128,
+    "cat_emb_dim": 3,
+    "n_independent": 3,
+    "n_shared": 3,
+    "momentum": 0.04967611500740168,
+    "mask_type": "entmax",
+    "custom_dataloader": "",
+    "depth": 12,
+    "heads": 2,
+    "dropout": 0.5,
+    "model_name": "tabnet",
+    "dataset": "wids",
+    "num_splits": 5,
+    "shuffle": true,
+    "metrics": [
+        "auc"
+    ]
+}

wids/tabnet_wids_ctgan_madry.model/scaler.json

@@ -0,0 +1 @@
+{"x_min": [16.0, 14.844925880432129, 0.0, 137.1999969482422, -0.22430555522441864, 0.0, 38.599998474121094, 101.0, 101.01000213623047, 0.0, 0.0, 4.0, 0.30000001192092896, 1.0, 1.0, 0.0, 1.0, 39.0, 30.0, 16.200000762939453, 0.0, 40.0, 4.0, 117.0, 32.099998474121094, 0.0, 0.8999999761581421, 46.0, 13.0, 46.0, 13.0, 58.0, 0.0, 60.0, 22.0, 60.0, 22.0, 14.0, 0.0, 13.0, 0.0, 90.0, 41.0, 90.0, 41.029998779296875, 35.099998474121094, 31.888999938964844, 37.0, 22.0, 37.0, 22.0, 46.0, 36.0, 49.0, 32.0, 49.0, 32.0, 10.0, 0.0, 10.0, 0.0, 75.0, 53.0, 75.0, 53.0, 33.400001525878906, 32.900001525878906, 4.0, 3.0, 6.199999809265137, 5.5, 0.3400000035762787, 0.30000001192092896, 73.0, 33.0, 12.0, 7.0, 6.800000190734863, 5.300000190734863, 20.399999618530273, 16.100000381469727, 27.0, 18.549999237060547, 2.799999952316284, 2.4000000953674316, 123.0, 117.0, 1.2000000476837158, 0.8999999761581421, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "x_max": [89.0, 67.81498718261719, 1.0, 195.58999633789062, 67.02361297607422, 0.0, 186.0, 308.0, 2201.050048828125, 1.0, 1.0, 127.0, 11.180000305175781, 4.0, 6.0, 0.0, 5.0, 598.7000122070312, 178.0, 51.400001525878906, 1.0, 200.0, 60.0, 158.0, 39.70000076293945, 1.0, 45.79999923706055, 165.0, 90.0, 165.0, 90.0, 177.0, 143.0, 184.0, 112.0, 181.0, 112.0, 92.0, 72.0, 100.0, 100.0, 232.0, 160.0, 232.0, 160.0, 39.900001525878906, 37.79999923706055, 143.0, 113.0, 144.0, 114.0, 164.0, 144.0, 165.0, 138.0, 163.0, 138.0, 59.0, 118.0, 100.0, 100.0, 223.0, 194.0, 223.0, 195.0, 39.5, 39.29999923706055, 126.0, 113.08999633789062, 10.800000190734863, 10.300000190734863, 11.109999656677246, 9.937899589538574, 611.0, 288.0, 40.0, 39.0, 17.200000762939453, 16.700000762939453, 51.5, 50.0, 585.0, 557.4500122070312, 7.0, 5.800000190734863, 158.0, 153.0, 46.08000183105469, 40.89799880981445, 0.9800000190734863, 0.9700000286102295, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], "x_mean": null, "x_std": null, "categories": [[1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0], [1.0, 2.0, 3.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0], [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0], [2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 112.0]], "cat_idx": [3, 4, 6, 7, 8, 9, 105, 106, 107], "num_idx": [0, 1, 2, 5, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104]}

wids/tabnet_wids_ctgan_madry.model/weights.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61053e58802c2ad14d258da9e6c32ba4a6de9c76e7cc1a506d03d363fe7921cb
+size 302425