Hey all, this is my first attempt at a comp in many years.
\nWhenever I go to submit I am following the submission guidelines with the proper predict function and using the
\n`inference_server = kaggle_evaluation.rsna_inference_server.RSNAInferenceServer(predict)
if os.getenv('KAGGLE_IS_COMPETITION_RERUN'):
\n inference_server.serve()
\nelse:
\n inference_server.run_local_gateway()
\n display(pl.read_parquet('/kaggle/working/submission.parquet'))`
which is provided from the demo submission. My output format is identical to the output on the demo submission. I still keep getting \"throw error\" after about 11 minutes of running. The logs dont seem to mention anything about it. I was wondering if theres any way to see what is causing the error? Thank you.
", "messages": [ { "id": 3263674, "postDate": "2025-08-05T14:56:54.797Z", "content": "Hey all, this is my first attempt at a comp in many years.
\nWhenever I go to submit I am following the submission guidelines with the proper predict function and using the
\n`inference_server = kaggle_evaluation.rsna_inference_server.RSNAInferenceServer(predict)
if os.getenv('KAGGLE_IS_COMPETITION_RERUN'):
\n inference_server.serve()
\nelse:
\n inference_server.run_local_gateway()
\n display(pl.read_parquet('/kaggle/working/submission.parquet'))`
which is provided from the demo submission. My output format is identical to the output on the demo submission. I still keep getting \"throw error\" after about 11 minutes of running. The logs dont seem to mention anything about it. I was wondering if theres any way to see what is causing the error? Thank you.
", "rawMarkdown": "Hey all, this is my first attempt at a comp in many years.\nWhenever I go to submit I am following the submission guidelines with the proper predict function and using the \n`inference_server = kaggle_evaluation.rsna_inference_server.RSNAInferenceServer(predict)\n\nif os.getenv('KAGGLE_IS_COMPETITION_RERUN'):\n inference_server.serve()\nelse:\n inference_server.run_local_gateway()\n display(pl.read_parquet('/kaggle/working/submission.parquet'))`\n\nwhich is provided from the demo submission. My output format is identical to the output on the demo submission. I still keep getting \"throw error\" after about 11 minutes of running. The logs dont seem to mention anything about it. I was wondering if theres any way to see what is causing the error? Thank you.", "votes": 1 }, { "id": 3264458, "postDate": "2025-08-06T15:42:30.953Z", "content": "If an error occurs in the private scoring (a.k.a. COMPETITION RERUN), you will not get a log or the error message which occurred just the type of error.
\nThe log you posted here is just the notebook running on sample data.
", "rawMarkdown": "If an error occurs in the private scoring (a.k.a. COMPETITION RERUN), you will not get a log or the error message which occurred just the type of error.\n\nThe log you posted here is just the notebook running on sample data.", "replies": [ { "id": 3264466, "postDate": "2025-08-06T15:50:21.517Z", "content": "Dang, I keep getting throw error but not really sure how to isolate it. do you have any tips or suggestions?
", "rawMarkdown": "Dang, I keep getting throw error but not really sure how to isolate it. do you have any tips or suggestions?", "replies": [ { "id": 3265597, "postDate": "2025-08-07T17:40:36.523Z", "content": "Try to test out your predict function on a portion or all of your training series_path directories. This may help in debugging the issue.
414.6s 49 Total SeriesInstanceUIDs: 4405
\n416.6s 50 Saved preprocessed tensor for 1.2.826.0.1.3680043.8.498.10028406715369553772267826812576760572
\n429.4s 51 Saved preprocessed tensor for 1.2.826.0.1.3680043.8.498.10057359944432090722321480667591403108
\n429.7s 52 Saved preprocessed tensor for 1.2.826.0.1.3680043.8.498.10076849691931487952247065581008547232
\n438.6s 53 /tmp/ipykernel_19/2182781736.py:93: DataOrientationWarning: Row orientation inferred during DataFrame construction. Explicitly specify the orientation by passing orient=\"row\" to silence this warning.
\n438.6s 54 result = pl.DataFrame([pred_row], schema=[ID_COL] + LABEL_COLS)
\n445.4s 55 /usr/local/lib/python3.11/dist-packages/traitlets/traitlets.py:2915: FutureWarning: --Exporter.preprocessors=[\"remove_papermill_header.RemovePapermillHeader\"] for containers is deprecated in traitlets 5.0. You can pass --Exporter.preprocessors item … multiple times to add items to a list.
\n445.4s 56 warn(
\n445.4s 57 [NbConvertApp] Converting notebook notebook.ipynb to notebook
\n445.9s 58 [NbConvertApp] Writing 59415 bytes to notebook.ipynb
\n447.4s 59 /usr/local/lib/python3.11/dist-packages/traitlets/traitlets.py:2915: FutureWarning: --Exporter.preprocessors=[\"nbconvert.preprocessors.ExtractOutputPreprocessor\"] for containers is deprecated in traitlets 5.0. You can pass --Exporter.preprocessors item … multiple times to add items to a list.
\n447.4s 60 warn(
\n447.4s 61 [NbConvertApp] Converting notebook notebook.ipynb to html
\n448.3s 62 [NbConvertApp] Writing 414514 bytes to results.html
If an error occurs in the private scoring (a.k.a. COMPETITION RERUN), you will not get a log or the error message which occurred just the type of error.
\nThe log you posted here is just the notebook running on sample data.
", "votes": 0, "replies": [ { "id": 3264466, "author_name": "aidan agee", "author_url": "", "post_date": "2025-08-06T15:50:21.517000", "content": "Dang, I keep getting throw error but not really sure how to isolate it. do you have any tips or suggestions?
", "votes": 0, "replies": [ { "id": 3265597, "author_name": "coderRKJ", "author_url": "", "post_date": "2025-08-07T17:40:36.523000", "content": "Try to test out your predict function on a portion or all of your training series_path directories. This may help in debugging the issue.
414.6s 49 Total SeriesInstanceUIDs: 4405
\n416.6s 50 Saved preprocessed tensor for 1.2.826.0.1.3680043.8.498.10028406715369553772267826812576760572
\n429.4s 51 Saved preprocessed tensor for 1.2.826.0.1.3680043.8.498.10057359944432090722321480667591403108
\n429.7s 52 Saved preprocessed tensor for 1.2.826.0.1.3680043.8.498.10076849691931487952247065581008547232
\n438.6s 53 /tmp/ipykernel_19/2182781736.py:93: DataOrientationWarning: Row orientation inferred during DataFrame construction. Explicitly specify the orientation by passing orient=\"row\" to silence this warning.
\n438.6s 54 result = pl.DataFrame([pred_row], schema=[ID_COL] + LABEL_COLS)
\n445.4s 55 /usr/local/lib/python3.11/dist-packages/traitlets/traitlets.py:2915: FutureWarning: --Exporter.preprocessors=[\"remove_papermill_header.RemovePapermillHeader\"] for containers is deprecated in traitlets 5.0. You can pass --Exporter.preprocessors item … multiple times to add items to a list.
\n445.4s 56 warn(
\n445.4s 57 [NbConvertApp] Converting notebook notebook.ipynb to notebook
\n445.9s 58 [NbConvertApp] Writing 59415 bytes to notebook.ipynb
\n447.4s 59 /usr/local/lib/python3.11/dist-packages/traitlets/traitlets.py:2915: FutureWarning: --Exporter.preprocessors=[\"nbconvert.preprocessors.ExtractOutputPreprocessor\"] for containers is deprecated in traitlets 5.0. You can pass --Exporter.preprocessors item … multiple times to add items to a list.
\n447.4s 60 warn(
\n447.4s 61 [NbConvertApp] Converting notebook notebook.ipynb to html
\n448.3s 62 [NbConvertApp] Writing 414514 bytes to results.html