{ "id": 74908, "title": "Python Notebook Kernel Keeps dying.", "url": "/competitions/elo-merchant-category-recommendation/discussion/74908", "author_name": "", "post_date": "2018-12-17T07:42:18.792591400Z", "votes": null, "comment_count": 8, "views": 0, "content": "

My kernel keeps dying for reasons I do not understand. Previous kagglers had raised a smilar issue here, here, and here. From the previous issues raised kaggle had a problem after updating their version of R, yet I am running a python notebook. I just wanted to make sure I don't have a problem with my code before submititng a product review concern. Thanks in advance.

", "messages": [ { "id": "440195", "postDate": "12/17/2018 07:42:18", "content": "

My kernel keeps dying for reasons I do not understand. Previous kagglers had raised a smilar issue here, here, and here. From the previous issues raised kaggle had a problem after updating their version of R, yet I am running a python notebook. I just wanted to make sure I don't have a problem with my code before submititng a product review concern. Thanks in advance.

", "rawMarkdown": "My [kernel][1] keeps dying for reasons I do not understand. Previous kagglers had raised a smilar issue [here][2], [here][3], and [here][4]. From the previous issues raised kaggle had a problem after updating their version of R, yet I am running a python notebook. I just wanted to make sure I don't have a problem with my code before submititng a product review concern. Thanks in advance.\n\n\n [1]: https://www.kaggle.com/sikolia/my-first-jupyter-notebook?scriptVersionId=8486012\n [2]: https://www.kaggle.com/general/38458\n [3]: https://www.kaggle.com/product-feedback/41221\n [4]: https://www.kaggle.com/general/70942", "votes": null }, { "id": "440226", "postDate": "12/17/2018 08:53:54", "content": "

it could be many reasons - one could be memory issue. \nI suggest you to port the code into python script (.py), and run it under ipython command line and see if it runs through

", "rawMarkdown": "it could be many reasons - one could be memory issue. \nI suggest you to port the code into python script (.py), and run it under ipython command line and see if it runs through", "votes": null }, { "id": "440343", "postDate": "12/17/2018 12:23:47", "content": "

Thanks, let me try your suggestion and see if it works

", "rawMarkdown": "Thanks, let me try your suggestion and see if it works", "votes": null }, { "id": "440464", "postDate": "12/17/2018 15:15:28", "content": "

Thanks Yifan, your suggestion helped me establish why my kernel was dying

", "rawMarkdown": "Thanks Yifan, your suggestion helped me establish why my kernel was dying", "votes": null }, { "id": "440526", "postDate": "12/17/2018 17:00:29", "content": "

glad that it helped :)

", "rawMarkdown": "glad that it helped :)", "votes": null }, { "id": "440735", "postDate": "12/18/2018 00:16:03", "content": "

I faced same issue in the start and then used memory reduce fuction. It helped a lot.

", "rawMarkdown": "I faced same issue in the start and then used memory reduce fuction. It helped a lot.", "votes": null }, { "id": "440920", "postDate": "12/18/2018 05:06:14", "content": "

Thanks K, I too was able to fix the problem

", "rawMarkdown": "Thanks K, I too was able to fix the problem", "votes": null }, { "id": "441507", "postDate": "12/18/2018 18:07:52", "content": "

You may also use Garbage Collection (if using a notebook.

\n\n

import gc\ngc.collect()

\n\n

This should help!

", "rawMarkdown": "You may also use Garbage Collection (if using a notebook.\n\nimport gc\ngc.collect() \n\nThis should help!", "votes": null }, { "id": "441599", "postDate": "12/18/2018 20:35:23", "content": "

Hey , keep track of the ram and cpu utilization in the right side panel and you can check at what cell the kernel is dying when u execute . Hope this helps .

", "rawMarkdown": "Hey , keep track of the ram and cpu utilization in the right side panel and you can check at what cell the kernel is dying when u execute . Hope this helps .", "votes": null } ], "comments": [ { "id": 440226, "author_name": "yifanxie", "author_url": "", "post_date": "12/17/2018 08:53:54", "content": "

it could be many reasons - one could be memory issue. \nI suggest you to port the code into python script (.py), and run it under ipython command line and see if it runs through

", "votes": null, "replies": [ { "id": 440343, "author_name": "sikolia", "author_url": "", "post_date": "12/17/2018 12:23:47", "content": "

Thanks, let me try your suggestion and see if it works

", "votes": null, "replies": [] }, { "id": 440464, "author_name": "sikolia", "author_url": "", "post_date": "12/17/2018 15:15:28", "content": "

Thanks Yifan, your suggestion helped me establish why my kernel was dying

", "votes": null, "replies": [] }, { "id": 440526, "author_name": "yifanxie", "author_url": "", "post_date": "12/17/2018 17:00:29", "content": "

glad that it helped :)

", "votes": null, "replies": [] } ] }, { "id": 440735, "author_name": "justk1", "author_url": "", "post_date": "12/18/2018 00:16:03", "content": "

I faced same issue in the start and then used memory reduce fuction. It helped a lot.

", "votes": null, "replies": [ { "id": 440920, "author_name": "sikolia", "author_url": "", "post_date": "12/18/2018 05:06:14", "content": "

Thanks K, I too was able to fix the problem

", "votes": null, "replies": [] } ] }, { "id": 441507, "author_name": "roydatascience", "author_url": "", "post_date": "12/18/2018 18:07:52", "content": "

You may also use Garbage Collection (if using a notebook.

\n\n

import gc\ngc.collect()

\n\n

This should help!

", "votes": null, "replies": [] }, { "id": 441599, "author_name": "sriharshaatyam", "author_url": "", "post_date": "12/18/2018 20:35:23", "content": "

Hey , keep track of the ram and cpu utilization in the right side panel and you can check at what cell the kernel is dying when u execute . Hope this helps .

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "440195": "My [kernel][1] keeps dying for reasons I do not understand. Previous kagglers had raised a smilar issue [here][2], [here][3], and [here][4]. From the previous issues raised kaggle had a problem after updating their version of R, yet I am running a python notebook. I just wanted to make sure I don't have a problem with my code before submititng a product review concern. Thanks in advance.\n\n\n [1]: https://www.kaggle.com/sikolia/my-first-jupyter-notebook?scriptVersionId=8486012\n [2]: https://www.kaggle.com/general/38458\n [3]: https://www.kaggle.com/product-feedback/41221\n [4]: https://www.kaggle.com/general/70942", "440226": "it could be many reasons - one could be memory issue. \nI suggest you to port the code into python script (.py), and run it under ipython command line and see if it runs through", "440343": "Thanks, let me try your suggestion and see if it works", "440464": "Thanks Yifan, your suggestion helped me establish why my kernel was dying", "440526": "glad that it helped :)", "440735": "I faced same issue in the start and then used memory reduce fuction. It helped a lot.", "440920": "Thanks K, I too was able to fix the problem", "441507": "You may also use Garbage Collection (if using a notebook.\n\nimport gc\ngc.collect() \n\nThis should help!", "441599": "Hey , keep track of the ram and cpu utilization in the right side panel and you can check at what cell the kernel is dying when u execute . Hope this helps ." }, "source": "meta" }