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try-except in submission.py to handle scoring errors #337

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try-except in submission.py to handle scoring errors #337

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try-except in submission.py to handle scoring errors
frcaud Feb 28, 2024
97980bc
revert autoformating
frcaud Feb 28, 2024
f48f8ca
add set_trace to debug
frcaud Feb 29, 2024
0567c4e
remove ipdb.set_trace()
frcaud Feb 29, 2024
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36 changes: 25 additions & 11 deletions rampwf/utils/submission.py
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Original file line number Diff line number Diff line change
Expand Up @@ -254,17 +254,31 @@ def run_submission_on_cv_fold(problem, module_path, fold, X_train,
fd.write(str(valid_time))
with open(os.path.join(fold_output_path, 'test_time'), 'w') as fd:
fd.write(str(test_time))
df_scores = score_matrix(
score_types,
ground_truth=OrderedDict([('train', ground_truth_train_train),
('valid', ground_truth_train_valid),
('test', ground_truth_test)]),
predictions=OrderedDict([('train', predictions_train_train),
('valid', predictions_train_valid),
('test', predictions_test)]),
)
df_scores['time'] = [train_time, valid_time, test_time]
set_state('scored', save_output, fold_output_path)
try:
df_scores = score_matrix(
score_types,
ground_truth=OrderedDict(
[
("train", ground_truth_train_train),
("valid", ground_truth_train_valid),
("test", ground_truth_test),
]
),
predictions=OrderedDict(
[
("train", predictions_train_train),
("valid", predictions_train_valid),
("test", predictions_test),
]
),
)
df_scores["time"] = [train_time, valid_time, test_time]
set_state("scored", save_output, fold_output_path)
except Exception as e:
print(f"Error during scoring: {e}")
print_submission_exception(save_output, fold_output_path)
set_state("testing_error", save_output, fold_output_path)
exit(1)
return predictions_train_valid, predictions_test, df_scores

else:
Expand Down