Result table

This table was generated on 2024-09-25 at 16:40. See more results here. See last results here.

results
project_namegroup_namehostnamestatusTimeRMSEAccuracyerror_msg
code-brain-fuel
Master-IASD
boldeagle
Success
35.97
0.884
0.0
None
alexandre-verinotableandefficientmodel
Master-IASD
boldeagle
Success
0.6
1.037
0.0
None
anxisa
Master-IASD
boldeagle
Success
0.6
1.037
0.0
None
closeai
Master-IASD
boldeagle
Success
0.58
1.037
0.0
None
elcoma
Master-IASD
boldeagle
Success
0.6
1.037
0.0
None
elon
Master-IASD
boldeagle
Success
0.59
1.037
0.0
None
esi
Master-IASD
boldeagle
Success
0.64
1.037
0.0
None
freshtomatoes
Master-IASD
boldeagle
Success
0.59
1.037
0.0
None
just-do-it
Master-IASD
boldeagle
Success
0.76
1.037
0.0
None
matrixe
Master-IASD
boldeagle
Success
0.55
1.037
0.0
None
palm
Master-IASD
boldeagle
Success
0.62
1.037
0.0
None
psg-iasd
Master-IASD
boldeagle
Success
0.59
1.037
0.0
None
rimaya
Master-IASD
boldeagle
Success
0.6
1.037
0.0
None
theshawshankredemption
Master-IASD
boldeagle
Success
0.59
1.037
0.0
None
average
profs
boldeagle
Success
0.59
1.037
0.0
None
random
profs
boldeagle
Success
0.6
1.828
14.08
None
gitlegs
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/gitlegs/generate.py", line 89, in \n np.save("output.npy", table) ## DO NOT CHANGE THIS LINE\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/venv/lib/python3.11/site-packages/numpy/lib/_npyio_impl.py", line 586, in save\n arr = np.asanyarray(arr)\n ^^^^^^^^^^^^^^^^^^\n File "/home/lamsade/testplatform/test-platform-a1/venv/lib/python3.11/site-packages/torch/_tensor.py", line 1083, in __array__\n return self.numpy()\n ^^^^^^^^^^^^\nTypeError: can\'t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.\n'
tetech
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/tetech/generate.py", line 6, in \n import src.base_pipeline as bp\n File "/home/lamsade/testplatform/test-platform-a1/repos/Master-IASD/tetech/src/base_pipeline.py", line 3, in \n from sklearn.metrics import mean_squared_error,accuracy_score, root_mean_squared_error\nImportError: cannot import name \'root_mean_squared_error\' from \'sklearn.metrics\' (/home/lamsade/testplatform/test-platform-a1/venv/lib/python3.11/site-packages/sklearn/metrics/__init__.py)\n'
BestOf2023-1
profs
boldeagle
Error
0
100
0
bytes: b'Traceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/profs/BestOf2023-1/generate.py", line 6, in \n from algorithms.folded_deep_matrix_factorization_imprv import FoldedDeepMatrixFactorization\n File "/home/lamsade/testplatform/test-platform-a1/repos/profs/BestOf2023-1/algorithms/folded_deep_matrix_factorization_imprv.py", line 1, in \n import torch\n File "/home/lamsade/testplatform/test-platform-a1/venv/lib/python3.11/site-packages/torch/__init__.py", line 229, in \n from torch._C import * # noqa: F403\n ^^^^^^^^^^^^^^^^^^^^^^\nImportError: libcudnn.so.8: cannot open shared object file: No such file or directory\n'
BestOf2023-2
profs
boldeagle
Error
0
100
0
bytes: b'Traceback (most recent call last):\n File "/home/lamsade/testplatform/test-platform-a1/repos/profs/BestOf2023-2/generate.py", line 22, in \n from methods import MatrixFactorization\n File "/home/lamsade/testplatform/test-platform-a1/repos/profs/BestOf2023-2/methods.py", line 1, in \n import torch\n File "/home/lamsade/testplatform/test-platform-a1/venv/lib/python3.11/site-packages/torch/__init__.py", line 229, in \n from torch._C import * # noqa: F403\n ^^^^^^^^^^^^^^^^^^^^^^\nImportError: libcudnn.so.8: cannot open shared object file: No such file or directory\n'

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