I'm really stuck on submitting a file for scoring and can't seem to find any tutorial by the creators, can someone please give some advice? (I'm completely new to Kaggle so please forgive my naivety)
\nI have a submission.csv file ready in my input space: 'kaggle/input/submission-dataset-intigers/'
\nFull path: '/kaggle/input/submission-dataset-intigers/submission.csv'
and when I look at the submission it looks right:
\n planet_id wl_1 wl_2 wl_3 wl_4 wl_5 wl_6 \\\n \n...\n\n sigma_277 sigma_278 sigma_279 sigma_280 sigma_281 sigma_282 sigma_283 \n \n(note: I changed the numbers just to hide my results)
\nI use a kaggle notebook in offline mode for the submission with the code:
\n\n\n\n\n numpy np \n pandas pd \n\n\n\n\n os\n dirname, _, filenames os.walk():\n filename filenames:\n file_to_load = os.path.join(dirname, filename)\n\ndf = pd.read_csv(file_to_load)\n\n(df) \n\ndf.to_csv(, index= )\n\n\n\nBut I keep getting failed submissions and I'm now out of attempts for the day (which is a silly penalisation lol).
\nCan anyone see glaringly obvious error in submitting like this?
\nMany thanks in advance!
", "messages": [ { "id": 2953561, "postDate": "2024-08-08T18:45:24.113Z", "content": "I'm really stuck on submitting a file for scoring and can't seem to find any tutorial by the creators, can someone please give some advice? (I'm completely new to Kaggle so please forgive my naivety)
\nI have a submission.csv file ready in my input space: 'kaggle/input/submission-dataset-intigers/'
\nFull path: '/kaggle/input/submission-dataset-intigers/submission.csv'
and when I look at the submission it looks right:
\n planet_id wl_1 wl_2 wl_3 wl_4 wl_5 wl_6 \\\n \n...\n\n sigma_277 sigma_278 sigma_279 sigma_280 sigma_281 sigma_282 sigma_283 \n \n(note: I changed the numbers just to hide my results)
\nI use a kaggle notebook in offline mode for the submission with the code:
\n\n\n\n\n numpy np \n pandas pd \n\n\n\n\n os\n dirname, _, filenames os.walk():\n filename filenames:\n file_to_load = os.path.join(dirname, filename)\n\ndf = pd.read_csv(file_to_load)\n\n(df) \n\ndf.to_csv(, index= )\n\n\n\nBut I keep getting failed submissions and I'm now out of attempts for the day (which is a silly penalisation lol).
\nCan anyone see glaringly obvious error in submitting like this?
\nMany thanks in advance!
", "rawMarkdown": "I'm really stuck on submitting a file for scoring and can't seem to find any tutorial by the creators, can someone please give some advice? (I'm completely new to Kaggle so please forgive my naivety)\n\nI have a submission.csv file ready in my input space: 'kaggle/input/submission-dataset-intigers/'\nFull path: '/kaggle/input/submission-dataset-intigers/submission.csv'\n\nand when I look at the submission it looks right:\n\n```python\n planet_id wl_1 wl_2 wl_3 wl_4 wl_5 wl_6 \\\n0 499191466 0.00123 0.00123 0.00123 0.00123 0.00123 0.00123 \n...\n\n sigma_277 sigma_278 sigma_279 sigma_280 sigma_281 sigma_282 sigma_283 \n0 0.00123 0.00123 0.00123 0.00123 0.00123 0.00123 0.00123 \n```\n\n(note: I changed the numbers just to hide my results)\n\nI use a kaggle notebook in offline mode for the submission with the code:\n\n```python\n# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input/submission-dataset-intigers'):\n for filename in filenames:\n file_to_load = os.path.join(dirname, filename)\n\ndf = pd.read_csv(file_to_load)\n\nprint(df) ### This gives the results shown in the discussion text above\n\ndf.to_csv('/kaggle/working/submission.csv', index= False)\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session\n```\n\nBut I keep getting failed submissions and I'm now out of attempts for the day (which is a silly penalisation lol). \n\nCan anyone see glaringly obvious error in submitting like this? \n\nMany thanks in advance!", "votes": 2 }, { "id": 2953779, "postDate": "2024-08-09T04:12:55.267Z", "content": "@spacemeerkat => it's a Notebook competition, test set is replaced with hidden test set. So, you have to submit notebook, which run on hidden test set -> Notebook - ADC24 Intro inference => go through once public notebook
", "rawMarkdown": "@spacemeerkat => it's a Notebook competition, test set is replaced with hidden test set. So, you have to submit notebook, which run on hidden test set -> [Notebook - ADC24 Intro inference](https://www.kaggle.com/code/ambrosm/adc24-intro-inference) => go through once public notebook", "votes": 1, "replies": [ { "id": 2953872, "postDate": "2024-08-09T06:50:01.010Z", "rawMarkdown": "", "votes": 1, "isDeleted": true }, { "id": 2953899, "postDate": "2024-08-09T07:27:05.373Z", "content": "Actually, I'm a little confused still.. the notebook you linked to points to the sample_submission.csv which has the results for 1 planet in it. I don't actually see anything pointing to a hidden test set or how that is laid out in the hidden directory. I wonder if the style matches the way the training sets are laid out with a subdirectory per planet_id in /test/ ?
\nSorry for the dumb questions!
", "rawMarkdown": "Actually, I'm a little confused still.. the notebook you linked to points to the sample_submission.csv which has the results for 1 planet in it. I don't actually see anything pointing to a hidden test set or how that is laid out in the hidden directory. I wonder if the style matches the way the training sets are laid out with a subdirectory per planet_id in /test/ ?\n\nSorry for the dumb questions!", "replies": [ { "id": 2953902, "postDate": "2024-08-09T07:31:31.280Z", "content": "@spacemeerkat => folder structure will be same -> , its contents are replaced with hidden dataset. when we submit our notebooks
", "rawMarkdown": "@spacemeerkat => folder structure will be same -> , its contents are replaced with hidden dataset. when we submit our notebooks", "votes": 3 }, { "id": 2953906, "postDate": "2024-08-09T07:38:32.360Z", "content": "Okay thanks! So just to be 100% clear, the \"/kaggle/input/ariel-data-challenge-2024/test/\" directory is filled with more planets when running the submission notebooks? 😅
", "rawMarkdown": "Okay thanks! So just to be 100% clear, the \"/kaggle/input/ariel-data-challenge-2024/test/\" directory is filled with more planets when running the submission notebooks? 😅" }, { "id": 2953937, "postDate": "2024-08-09T08:13:16.180Z", "content": "\n", "rawMarkdown": "> @spacemeerkat yes and also test_adc_info.csv and sample_submission.csv => finally need to output predictions in **submission.csv**", "votes": 2 }, { "id": 2954005, "postDate": "2024-08-09T09:31:22.563Z", "content": "@spacemeerkat yes and also test_adc_info.csv and sample_submission.csv => finally need to output predictions in submission.csv
\n
Fantastic, thanks so much @seshurajup , you're a lifesaver!
", "rawMarkdown": "Fantastic, thanks so much @seshurajup , you're a lifesaver! " }, { "id": 2969053, "postDate": "2024-08-24T15:05:32.740Z", "rawMarkdown": "", "isDeleted": true }, { "id": 2969060, "postDate": "2024-08-24T15:12:40.570Z", "content": "@edotirapuka check sample_submission.csv format => single file => submission.csv
", "rawMarkdown": "@edotirapuka check sample_submission.csv format => single file => **submission.csv**" }, { "id": 2969107, "postDate": "2024-08-24T16:08:02.820Z", "rawMarkdown": "", "votes": 1, "isDeleted": true } ] } ] }, { "id": 3005108, "postDate": "2024-10-02T15:04:52.383Z", "content": "Have you solved the commit issue? I'm having this problem too, could you tell me which directories I can keep and which I need to modify?
", "rawMarkdown": "Have you solved the commit issue? I'm having this problem too, could you tell me which directories I can keep and which I need to modify?", "replies": [ { "id": 3006801, "postDate": "2024-10-04T15:04:54.290Z", "content": "Hi there,
\nThe following discussion tells that your /kaggle/working/ directory should only have a submission.csv
\nfile. The end result of your output should look like this and no other files present:
!tree /kaggle/working/\nworking/\n`-- submissions.csv\n\n directories, \nSource: discussion/527295
", "rawMarkdown": "Hi there,\n\nThe following discussion tells that your /kaggle/working/ directory should only have a submission.csv\nfile. The end result of your output should look like this and no other files present:\n\n```python\n!tree /kaggle/working/\n```\n\n```\n/kaggle/working/\n`-- submissions.csv\n\n0 directories, 1 file\n```\n\nSource: [discussion/527295](https://www.kaggle.com/competitions/ariel-data-challenge-2024/discussion/527295)", "votes": 1 } ] } ], "comments": [ { "id": 2953779, "author_name": "SeshuRaju 🧘♂️", "author_url": "", "post_date": "2024-08-09T04:12:55.267000", "content": "@spacemeerkat => it's a Notebook competition, test set is replaced with hidden test set. So, you have to submit notebook, which run on hidden test set -> Notebook - ADC24 Intro inference => go through once public notebook
", "votes": 1, "replies": [ { "id": 2953872, "author_name": "", "author_url": "", "post_date": "2024-08-09T06:50:01.010000", "content": "", "votes": 1, "replies": [] }, { "id": 2953899, "author_name": "SpaceMeerkat", "author_url": "", "post_date": "2024-08-09T07:27:05.373000", "content": "Actually, I'm a little confused still.. the notebook you linked to points to the sample_submission.csv which has the results for 1 planet in it. I don't actually see anything pointing to a hidden test set or how that is laid out in the hidden directory. I wonder if the style matches the way the training sets are laid out with a subdirectory per planet_id in /test/ ?
\nSorry for the dumb questions!
", "votes": 0, "replies": [ { "id": 2953902, "author_name": "SeshuRaju 🧘♂️", "author_url": "", "post_date": "2024-08-09T07:31:31.280000", "content": "@spacemeerkat => folder structure will be same -> , its contents are replaced with hidden dataset. when we submit our notebooks
", "votes": 3, "replies": [] }, { "id": 2953906, "author_name": "SpaceMeerkat", "author_url": "", "post_date": "2024-08-09T07:38:32.360000", "content": "Okay thanks! So just to be 100% clear, the \"/kaggle/input/ariel-data-challenge-2024/test/\" directory is filled with more planets when running the submission notebooks? 😅
", "votes": 0, "replies": [] }, { "id": 2953937, "author_name": "SeshuRaju 🧘♂️", "author_url": "", "post_date": "2024-08-09T08:13:16.180000", "content": "\n", "votes": 2, "replies": [] }, { "id": 2954005, "author_name": "SpaceMeerkat", "author_url": "", "post_date": "2024-08-09T09:31:22.563000", "content": "@spacemeerkat yes and also test_adc_info.csv and sample_submission.csv => finally need to output predictions in submission.csv
\n
Fantastic, thanks so much @seshurajup , you're a lifesaver!
", "votes": 0, "replies": [] }, { "id": 2969053, "author_name": "", "author_url": "", "post_date": "2024-08-24T15:05:32.740000", "content": "", "votes": 0, "replies": [] }, { "id": 2969060, "author_name": "SeshuRaju 🧘♂️", "author_url": "", "post_date": "2024-08-24T15:12:40.570000", "content": "@edotirapuka check sample_submission.csv format => single file => submission.csv
", "votes": 0, "replies": [] }, { "id": 2969107, "author_name": "", "author_url": "", "post_date": "2024-08-24T16:08:02.820000", "content": "", "votes": 1, "replies": [] } ] } ] }, { "id": 3005108, "author_name": "KK Weiss", "author_url": "", "post_date": "2024-10-02T15:04:52.383000", "content": "Have you solved the commit issue? I'm having this problem too, could you tell me which directories I can keep and which I need to modify?
", "votes": 0, "replies": [ { "id": 3006801, "author_name": "sasa", "author_url": "", "post_date": "2024-10-04T15:04:54.290000", "content": "Hi there,
\nThe following discussion tells that your /kaggle/working/ directory should only have a submission.csv
\nfile. The end result of your output should look like this and no other files present:
!tree /kaggle/working/\nworking/\n`-- submissions.csv\n\n directories, \nSource: discussion/527295
", "votes": 1, "replies": [] } ] } ], "raw_markdown_by_id": { "2953561": "I'm really stuck on submitting a file for scoring and can't seem to find any tutorial by the creators, can someone please give some advice? (I'm completely new to Kaggle so please forgive my naivety)\n\nI have a submission.csv file ready in my input space: 'kaggle/input/submission-dataset-intigers/'\nFull path: '/kaggle/input/submission-dataset-intigers/submission.csv'\n\nand when I look at the submission it looks right:\n\n```python\n planet_id wl_1 wl_2 wl_3 wl_4 wl_5 wl_6 \\\n0 499191466 0.00123 0.00123 0.00123 0.00123 0.00123 0.00123 \n...\n\n sigma_277 sigma_278 sigma_279 sigma_280 sigma_281 sigma_282 sigma_283 \n0 0.00123 0.00123 0.00123 0.00123 0.00123 0.00123 0.00123 \n```\n\n(note: I changed the numbers just to hide my results)\n\nI use a kaggle notebook in offline mode for the submission with the code:\n\n```python\n# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input/submission-dataset-intigers'):\n for filename in filenames:\n file_to_load = os.path.join(dirname, filename)\n\ndf = pd.read_csv(file_to_load)\n\nprint(df) ### This gives the results shown in the discussion text above\n\ndf.to_csv('/kaggle/working/submission.csv', index= False)\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session\n```\n\nBut I keep getting failed submissions and I'm now out of attempts for the day (which is a silly penalisation lol). \n\nCan anyone see glaringly obvious error in submitting like this? \n\nMany thanks in advance!", "2953779": "@spacemeerkat => it's a Notebook competition, test set is replaced with hidden test set. So, you have to submit notebook, which run on hidden test set -> [Notebook - ADC24 Intro inference](https://www.kaggle.com/code/ambrosm/adc24-intro-inference) => go through once public notebook", "3005108": "Have you solved the commit issue? I'm having this problem too, could you tell me which directories I can keep and which I need to modify?" } }