| project_name | group_name | hostname | status | Time | RMSE | Accuracy | error_msg |
|---|
lecun-team | Master-IASD | boldeagle | Success | 245.85 | 0.803 | 0.0 | None | goat | Master-IASD | boldeagle | Success | 13.3 | 0.84 | 28.87 | None | deeprec | Master-IASD | boldeagle | Success | 447.83 | 0.855 | 0.0 | None | claraliorarafael | Master-IASD | boldeagle | Success | 198.82 | 0.858 | 0.0 | None | the-boring-group | Master-IASD | boldeagle | Success | 222.65 | 0.861 | 26.04 | None | a-m-y-group | Master-IASD | boldeagle | Success | 77.65 | 0.882 | 9.8 | None | prestige-worldwide | Master-IASD | boldeagle | Success | 25.48 | 0.884 | 25.62 | None | equipe-404 | Master-IASD | boldeagle | Success | 121.04 | 0.913 | 5.09 | None | deepdeepmf | Master-IASD | boldeagle | Success | 0.6 | 1.037 | 0.0 | None | average | profs | boldeagle | Success | 0.91 | 1.037 | 0.0 | None | random | profs | boldeagle | Success | 0.58 | 1.837 | 14.3 | None | bot | Master-IASD | boldeagle | Error | 0 | 100 | 0 | bytes: b'Traceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/bot/generate.py", line 41, in \n output_information = trainGCN(dataset, model, L, epoch, batch_size) \n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/bot/trainGCN.py", line 37, in trainGCN\n cri = bpr.stageOne(batch_users, batch_pos, batch_neg)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/bot/trainGCN.py", line 187, in stageOne\n loss, reg_loss = self.model.bpr_loss(users, pos, neg)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/bot/GCNmodel.py", line 132, in bpr_loss\n userEmb0, posEmb0, negEmb0) = self.getEmbedding(users.long(), pos.long(), neg.long())\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/bot/GCNmodel.py", line 121, in getEmbedding\n all_users, all_items = self.computer()\n ^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/bot/GCNmodel.py", line 105, in computer\n all_emb = torch.div(torch.sparse.mm(g_droped, all_emb.to(torch.float)), self.reg)#self.layer(all_emb)#= torch.sparse.mm(g_droped, all_emb)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nRuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument mat1 in method wrapper_SparseCUDA__addmm)\n' | descente-optimale | Master-IASD | boldeagle | Error | 0 | 100 | 0 | bytes: b'\r 0%- - 0/610 [00:00\n table = als_train(train_table=table, n_iter=8, device=DEVICE, test_table=test_table)[0]\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/descente-optimale/methods/als.py", line 209, in als_train\n return R_estimated.T, bias_user, bias_item , min(rmse_val), np.argmin(rmse_val)\n ^^^^^^^^^^^^^\nTypeError: \'<\' not supported between instances of \'NoneType\' and \'NoneType\'\n' | forecastors | Master-IASD | boldeagle | Error | 0 | 100 | 0 | bytes: b'Traceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/forecastors/generate.py", line 38, in \n train_data = np.load(\'ratings_train.npy\')\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/venv/lib/python3.11/site-packages/numpy/lib/npyio.py", line 427, in load\n fid = stack.enter_context(open(os_fspath(file), "rb"))\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\nFileNotFoundError: [Errno 2] No such file or directory: \'ratings_train.npy\'\n' | la-grosse-descente | Master-IASD | boldeagle | Error | 0 | 100 | 0 | bytes: b'Traceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/la-grosse-descente/generate.py", line 7, in \n from GCN.main import main, Config\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/la-grosse-descente/GCN/main.py", line 5, in \n from dataset import HeteroGraph\nModuleNotFoundError: No module named \'dataset\'\n' | matrix-brigade | Master-IASD | boldeagle | Error | 0 | 100 | 0 | bytes: b'Traceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/matrix-brigade/generate.py", line 213, in \n folds_table[fold] = Re\n ^^\nNameError: name \'Re\' is not defined. Did you mean: \'R\'?\n' |
|