![\"\"](\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2497327%2Febdf120be3ad4f50b2c2ee58538c3080%2FScreenshot%20from%202019-11-02%2012-34-37.png?generation=1572678484920892&alt=media\")
Hello,\nI have trained the model elsewhere and uploaded the submission.csv file into the Kaggle kernel. Then commit runs successfully, In the output section the submission.csv file will be visible. Then clicking on submit to competition, after a while it shows submission error with \"No Additional details provided for this error\" in the public score section.\nCan anyone of you please help with this issue?
", "messages": [ { "id": 667213, "postDate": "2019-11-07T00:41:04.653Z", "content": "I had a similar problem. Error on submission, no details. It turned out that the test.csv file in the dataset is 5000 rows but the test.csv used during scoring is larger. My code was hard-coded for 5000. I changed it to predict against the entire test.csv file dynamically and the submission worked.
", "rawMarkdown": "I had a similar problem. Error on submission, no details. It turned out that the test.csv file in the dataset is 5000 rows but the test.csv used during scoring is larger. My code was hard-coded for 5000. I changed it to predict against the entire test.csv file dynamically and the submission worked.", "votes": 3 }, { "id": 662836, "postDate": "2019-11-01T04:12:30.403Z", "content": "https://www.kaggle.com/c/Kannada-MNIST/overview/kernels-requirements
\n\nMaybe the computation time on kernel is strictly checked (CPU <= 9 hrs and GPU <= 2hrs). That's why the scores on public notebooks are not as high as the digit recognition competition.
", "rawMarkdown": "https://www.kaggle.com/c/Kannada-MNIST/overview/kernels-requirements\n\nMaybe the computation time on kernel is strictly checked (CPU <= 9 hrs and GPU <= 2hrs). That's why the scores on public notebooks are not as high as the digit recognition competition.", "replies": [ { "id": 663493, "postDate": "2019-11-02T07:10:09.107Z", "content": "Hello sshojiro,\nI have followed the same steps on submission. I'm finding no differences to the mentioned procedure and the steps I followed. Below is a screenshot of how the dataframe looks like, writing the dataframe to the csv file and the Internet to be turned off on submitting.
\n\nCould you please follow-up if there are any other mistakes?
\n\n
For the debug purpose, I've created a new notebook on which the internet button is never turned on. And I saved and submitted a file named submission.csv. Your pic seems alright as code, but please try re-creave a notebook, to which you'll copy all your code.
", "rawMarkdown": "For the debug purpose, I've created a new notebook on which the internet button is never turned on. And I saved and submitted a file named submission.csv. Your pic seems alright as code, but please try re-creave a notebook, to which you'll copy all your code.", "votes": 1 }, { "id": 663782, "postDate": "2019-11-02T17:00:54.817Z", "content": "Can you please tell me how to check how much CPU time is being taken by my kernel? My notebook runs for about 12-15 mins.
", "rawMarkdown": "Can you please tell me how to check how much CPU time is being taken by my kernel? My notebook runs for about 12-15 mins.", "votes": 1 }, { "id": 664048, "postDate": "2019-11-03T05:10:23.547Z", "content": "Oh, just take a look at version information of your kernel. There's computation time at every successful run.
", "rawMarkdown": "Oh, just take a look at version information of your kernel. There's computation time at every successful run.", "votes": 2 }, { "id": 664330, "postDate": "2019-11-03T14:08:07.210Z", "content": "Yeah I did create a new Kernel and submitted, although it didn't seem to work for me
", "rawMarkdown": "Yeah I did create a new Kernel and submitted, although it didn't seem to work for me", "votes": 1 }, { "id": 664332, "postDate": "2019-11-03T14:14:10.047Z", "content": "Hi Sowrabh,
\n\nHow are you generating the id column? I suggest using np.arange or something similar and instead of saying 0 to 5000, use 0 to length of the results. That worked for me.
", "rawMarkdown": "Hi Sowrabh,\n\nHow are you generating the id column? I suggest using np.arange or something similar and instead of saying 0 to 5000, use 0 to length of the results. That worked for me.", "votes": 1 }, { "id": 664418, "postDate": "2019-11-03T16:24:24.650Z", "content": "@shojiroshibayama Thanks for your help.
", "rawMarkdown": "@shojiroshibayama Thanks for your help.", "votes": 1 }, { "id": 664456, "postDate": "2019-11-03T17:37:57.973Z", "content": "Thanks folks, I found other method to submit which fortunately worked for me.
", "rawMarkdown": "Thanks folks, I found other method to submit which fortunately worked for me.", "votes": 1 }, { "id": 666566, "postDate": "2019-11-06T08:23:48.107Z", "content": "What was the other method?
", "rawMarkdown": "What was the other method?", "votes": 2 }, { "id": 666881, "postDate": "2019-11-06T15:29:15.807Z", "content": "The file I uploaded into the kernel didn't seem to work on submitting. So, I programmatically copied the output from the uploaded file to the Kannada MNIST/submission.csv file and submitted it. This seemed to work for me.
", "rawMarkdown": "The file I uploaded into the kernel didn't seem to work on submitting. So, I programmatically copied the output from the uploaded file to the Kannada MNIST/submission.csv file and submitted it. This seemed to work for me.", "votes": 1 } ] }, { "id": 661324, "postDate": "2019-10-30T06:16:25.303Z", "content": "Hello,\nI have trained the model elsewhere and uploaded the submission.csv file into the Kaggle kernel. Then commit runs successfully, In the output section the submission.csv file will be visible. Then clicking on submit to competition, after a while it shows submission error with \"No Additional details provided for this error\" in the public score section.\nCan anyone of you please help with this issue?
", "rawMarkdown": "Hello,\nI have trained the model elsewhere and uploaded the submission.csv file into the Kaggle kernel. Then commit runs successfully, In the output section the submission.csv file will be visible. Then clicking on submit to competition, after a while it shows submission error with \"No Additional details provided for this error\" in the public score section.\nCan anyone of you please help with this issue?" }, { "id": 661364, "postDate": "2019-10-30T07:43:36.917Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 667213, "author_name": "Martin Görner", "author_url": "", "post_date": "2019-11-07T00:41:04.653000", "content": "I had a similar problem. Error on submission, no details. It turned out that the test.csv file in the dataset is 5000 rows but the test.csv used during scoring is larger. My code was hard-coded for 5000. I changed it to predict against the entire test.csv file dynamically and the submission worked.
", "votes": 3, "replies": [] }, { "id": 662836, "author_name": "sshojiro", "author_url": "", "post_date": "2019-11-01T04:12:30.403000", "content": "https://www.kaggle.com/c/Kannada-MNIST/overview/kernels-requirements
\n\nMaybe the computation time on kernel is strictly checked (CPU <= 9 hrs and GPU <= 2hrs). That's why the scores on public notebooks are not as high as the digit recognition competition.
", "votes": 0, "replies": [ { "id": 663493, "author_name": "Nayak Sowrabh", "author_url": "", "post_date": "2019-11-02T07:10:09.107000", "content": "Hello sshojiro,\nI have followed the same steps on submission. I'm finding no differences to the mentioned procedure and the steps I followed. Below is a screenshot of how the dataframe looks like, writing the dataframe to the csv file and the Internet to be turned off on submitting.
\n\nCould you please follow-up if there are any other mistakes?
\n\n
For the debug purpose, I've created a new notebook on which the internet button is never turned on. And I saved and submitted a file named submission.csv. Your pic seems alright as code, but please try re-creave a notebook, to which you'll copy all your code.
", "votes": 1, "replies": [] }, { "id": 663782, "author_name": "Pranit Bankar", "author_url": "", "post_date": "2019-11-02T17:00:54.817000", "content": "Can you please tell me how to check how much CPU time is being taken by my kernel? My notebook runs for about 12-15 mins.
", "votes": 1, "replies": [] }, { "id": 664048, "author_name": "sshojiro", "author_url": "", "post_date": "2019-11-03T05:10:23.547000", "content": "Oh, just take a look at version information of your kernel. There's computation time at every successful run.
", "votes": 2, "replies": [] }, { "id": 664330, "author_name": "Nayak Sowrabh", "author_url": "", "post_date": "2019-11-03T14:08:07.210000", "content": "Yeah I did create a new Kernel and submitted, although it didn't seem to work for me
", "votes": 1, "replies": [] }, { "id": 664332, "author_name": "Pranit Bankar", "author_url": "", "post_date": "2019-11-03T14:14:10.047000", "content": "Hi Sowrabh,
\n\nHow are you generating the id column? I suggest using np.arange or something similar and instead of saying 0 to 5000, use 0 to length of the results. That worked for me.
", "votes": 1, "replies": [] }, { "id": 664418, "author_name": "Pranit Bankar", "author_url": "", "post_date": "2019-11-03T16:24:24.650000", "content": "@shojiroshibayama Thanks for your help.
", "votes": 1, "replies": [] }, { "id": 664456, "author_name": "Nayak Sowrabh", "author_url": "", "post_date": "2019-11-03T17:37:57.973000", "content": "Thanks folks, I found other method to submit which fortunately worked for me.
", "votes": 1, "replies": [] }, { "id": 666566, "author_name": "Subham Kapoor", "author_url": "", "post_date": "2019-11-06T08:23:48.107000", "content": "What was the other method?
", "votes": 2, "replies": [] }, { "id": 666881, "author_name": "Nayak Sowrabh", "author_url": "", "post_date": "2019-11-06T15:29:15.807000", "content": "The file I uploaded into the kernel didn't seem to work on submitting. So, I programmatically copied the output from the uploaded file to the Kannada MNIST/submission.csv file and submitted it. This seemed to work for me.
", "votes": 1, "replies": [] } ] }, { "id": 661364, "author_name": "", "author_url": "", "post_date": "2019-10-30T07:43:36.917000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "667213": "I had a similar problem. Error on submission, no details. It turned out that the test.csv file in the dataset is 5000 rows but the test.csv used during scoring is larger. My code was hard-coded for 5000. I changed it to predict against the entire test.csv file dynamically and the submission worked.", "662836": "https://www.kaggle.com/c/Kannada-MNIST/overview/kernels-requirements\n\nMaybe the computation time on kernel is strictly checked (CPU <= 9 hrs and GPU <= 2hrs). That's why the scores on public notebooks are not as high as the digit recognition competition.", "661324": "Hello,\nI have trained the model elsewhere and uploaded the submission.csv file into the Kaggle kernel. Then commit runs successfully, In the output section the submission.csv file will be visible. Then clicking on submit to competition, after a while it shows submission error with \"No Additional details provided for this error\" in the public score section.\nCan anyone of you please help with this issue?", "661364": "" } }