{
  "id": 167602,
  "title": "hello kaggle worker, my notebook  takes too much time and it cancel automatically submit",
  "url": "/competitions/landmark-retrieval-2020/discussion/167602",
  "author_name": "",
  "post_date": "2020-07-17T08:43:07.924338800Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>hello kaggle worker my notebook submission taes too much time to submit what is problem </p>",
  "messages": [
    {
      "id": "932731",
      "postDate": "07/17/2020 08:43:07",
      "content": "<p>hello kaggle worker my notebook submission taes too much time to submit what is problem </p>",
      "rawMarkdown": "hello kaggle worker my notebook submission taes too much time to submit what is problem",
      "votes": null
    },
    {
      "id": "932898",
      "postDate": "07/17/2020 11:23:30",
      "content": "<p>because your training time of model may be high.\nSolution- Train model in separate notebook and predict in another notebook (while importing trained model in data from previous notebook) that way you can save on time</p>",
      "rawMarkdown": "because your training time of model may be high.\nSolution- Train model in separate notebook and predict in another notebook (while importing trained model in data from previous notebook) that way you can save on time",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 932898,
      "author_name": "jainarindam",
      "author_url": "",
      "post_date": "07/17/2020 11:23:30",
      "content": "<p>because your training time of model may be high.\nSolution- Train model in separate notebook and predict in another notebook (while importing trained model in data from previous notebook) that way you can save on time</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "932731": "hello kaggle worker my notebook submission taes too much time to submit what is problem",
    "932898": "because your training time of model may be high.\nSolution- Train model in separate notebook and predict in another notebook (while importing trained model in data from previous notebook) that way you can save on time"
  },
  "source": "meta"
}