{
  "id": 120488,
  "title": "Online or offline processing?",
  "url": "/competitions/nfl-playing-surface-analytics/discussion/120488",
  "author_name": "",
  "post_date": "2019-12-06T12:07:31.862088700Z",
  "votes": 1,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Just to confirm, if I have understood it good, for this competition processing of data should be inside the kaggle kernel? Just asking because of difference in RAM when it comes to kaggle kernel and my machine .. </p>\n\n<p>Sorry if this one is answered somewhere in the rules, I must have skimmed over it :(</p>",
  "messages": [
    {
      "id": "689060",
      "postDate": "12/06/2019 12:07:31",
      "content": "<p>Just to confirm, if I have understood it good, for this competition processing of data should be inside the kaggle kernel? Just asking because of difference in RAM when it comes to kaggle kernel and my machine .. </p>\n\n<p>Sorry if this one is answered somewhere in the rules, I must have skimmed over it :(</p>",
      "rawMarkdown": "Just to confirm, if I have understood it good, for this competition processing of data should be inside the kaggle kernel? Just asking because of difference in RAM when it comes to kaggle kernel and my machine .. \n\nSorry if this one is answered somewhere in the rules, I must have skimmed over it :(",
      "votes": null
    },
    {
      "id": "689248",
      "postDate": "12/06/2019 17:43:41",
      "content": "<p>I'm doing exploration on my machine, but I plan to have my final submission run entirely on kaggle kernel.  It would be good to know an official answer to offline preprocessing. </p>",
      "rawMarkdown": "I'm doing exploration on my machine, but I plan to have my final submission run entirely on kaggle kernel.  It would be good to know an official answer to offline preprocessing.",
      "votes": null
    },
    {
      "id": "689257",
      "postDate": "12/06/2019 17:55:32",
      "content": "<p>Hi - you may explore on your own machine, but you must make your final submission through a Notebook.</p>",
      "rawMarkdown": "Hi - you may explore on your own machine, but you must make your final submission through a Notebook.",
      "votes": null
    },
    {
      "id": "701394",
      "postDate": "12/23/2019 12:47:27",
      "content": "<p>I'm having trouble doing any real kind of analysis on the player trk data in the kaggle kernel.  It constantly crashes.</p>\n\n<p>Edit: I found <a href=\"https://www.kaggle.com/jpmiller/using-track-data-with-small-memory/output\">https://www.kaggle.com/jpmiller/using-track-data-with-small-memory/output</a>  and it's helping.  </p>",
      "rawMarkdown": "I'm having trouble doing any real kind of analysis on the player trk data in the kaggle kernel.  It constantly crashes.\n\nEdit: I found https://www.kaggle.com/jpmiller/using-track-data-with-small-memory/output  and it's helping.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 689248,
      "author_name": "ericfreeman",
      "author_url": "",
      "post_date": "12/06/2019 17:43:41",
      "content": "<p>I'm doing exploration on my machine, but I plan to have my final submission run entirely on kaggle kernel.  It would be good to know an official answer to offline preprocessing. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 689257,
      "author_name": "addisonhoward",
      "author_url": "",
      "post_date": "12/06/2019 17:55:32",
      "content": "<p>Hi - you may explore on your own machine, but you must make your final submission through a Notebook.</p>",
      "votes": null,
      "replies": [
        {
          "id": 701394,
          "author_name": "ericfreeman",
          "author_url": "",
          "post_date": "12/23/2019 12:47:27",
          "content": "<p>I'm having trouble doing any real kind of analysis on the player trk data in the kaggle kernel.  It constantly crashes.</p>\n\n<p>Edit: I found <a href=\"https://www.kaggle.com/jpmiller/using-track-data-with-small-memory/output\">https://www.kaggle.com/jpmiller/using-track-data-with-small-memory/output</a>  and it's helping.  </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "689060": "Just to confirm, if I have understood it good, for this competition processing of data should be inside the kaggle kernel? Just asking because of difference in RAM when it comes to kaggle kernel and my machine .. \n\nSorry if this one is answered somewhere in the rules, I must have skimmed over it :(",
    "689248": "I'm doing exploration on my machine, but I plan to have my final submission run entirely on kaggle kernel.  It would be good to know an official answer to offline preprocessing.",
    "689257": "Hi - you may explore on your own machine, but you must make your final submission through a Notebook.",
    "701394": "I'm having trouble doing any real kind of analysis on the player trk data in the kaggle kernel.  It constantly crashes.\n\nEdit: I found https://www.kaggle.com/jpmiller/using-track-data-with-small-memory/output  and it's helping."
  },
  "source": "meta"
}