Result table

This table was generated on 2023-10-03 at 05:45. See more results here. See last results here.

results

project_name group_name hostname status Time RMSE Accuracy error_msg goat Master-IASD boldeagle Success 85.65 0.877 27.88 None equipe-404 Master-IASD boldeagle Success 343.52 0.878 0.0 None deeprec Master-IASD boldeagle Success 7.08 0.882 0.0 None bot Master-IASD boldeagle Success 118.86 0.93 24.02 None the-boring-group Master-IASD boldeagle Success 365.45 0.933 31.86 None claraliorarafael Master-IASD boldeagle Success 92.01 0.935 0.0 None descente-optimale Master-IASD boldeagle Success 992.36 0.949 0.0 None a-m-y-group Master-IASD boldeagle Success 0.75 0.958 1.92 None forecastors Master-IASD boldeagle Success 183.44 0.97 0.0 None prestige-worldwide Master-IASD boldeagle Success 87.99 0.978 13.49 None deepdeepmf Master-IASD boldeagle Success 0.57 1.037 0.0 None matrix-brigade Master-IASD boldeagle Success 0.73 1.037 0.0 None average profs boldeagle Success 0.81 1.037 0.0 None random profs boldeagle Success 1.22 1.83 14.09 None la-grosse-descente Master-IASD boldeagle Error 0 100 0 IndexError: index 610 is out of bounds for axis 1 with size 610 lecun-team Master-IASD boldeagle Error 0 100 0 bytes: b'/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/lecun-team/algorithms/folded_deep_matrix_factorization_imprv.py:66: UserWarning: Failed to initialize NumPy: module compiled against API version 0x10 but this version of numpy is 0xf (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.)\n self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")\nTraceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/lecun-team/generate.py", line 29, in \n model.make_output(batch_size = 65536, tqdm_on = False)\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/lecun-team/algorithms/folded_deep_matrix_factorization_imprv.py", line 296, in make_output\n self.R_output = predicted_matrix.to_dense().cpu().numpy()\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nRuntimeError: Numpy is not available\n'

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