{
  "id": 77932,
  "title": "Kernel keeps dying",
  "url": "/competitions/elo-merchant-category-recommendation/discussion/77932",
  "author_name": "",
  "post_date": "2019-01-17T19:21:25.159620200Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hi all,\nevery time i run my code kernel keeps die, is anyone else also faces same issue.</p>",
  "messages": [
    {
      "id": "457596",
      "postDate": "01/17/2019 19:21:25",
      "content": "<p>Hi all,\nevery time i run my code kernel keeps die, is anyone else also faces same issue.</p>",
      "rawMarkdown": "Hi all,\nevery time i run my code kernel keeps die, is anyone else also faces same issue.",
      "votes": null
    },
    {
      "id": "457651",
      "postDate": "01/17/2019 21:37:22",
      "content": "<p>I believe you are facing memory limit in a kernel (16gb).</p>\n\n<p>You can use some technics to reduce memory usage\nSome of them you can find here:\n<a href=\"https://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask\">https://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask</a></p>",
      "rawMarkdown": "I believe you are facing memory limit in a kernel (16gb).\n\nYou can use some technics to reduce memory usage\nSome of them you can find here:\nhttps://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 457651,
      "author_name": "kyakovlev",
      "author_url": "",
      "post_date": "01/17/2019 21:37:22",
      "content": "<p>I believe you are facing memory limit in a kernel (16gb).</p>\n\n<p>You can use some technics to reduce memory usage\nSome of them you can find here:\n<a href=\"https://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask\">https://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "457596": "Hi all,\nevery time i run my code kernel keeps die, is anyone else also faces same issue.",
    "457651": "I believe you are facing memory limit in a kernel (16gb).\n\nYou can use some technics to reduce memory usage\nSome of them you can find here:\nhttps://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask"
  },
  "source": "meta"
}