{
  "id": 118681,
  "title": "Who has a better way to verify?",
  "url": "/competitions/ashrae-energy-prediction/discussion/118681",
  "author_name": "",
  "post_date": "2019-11-23T14:16:31.829788600Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>In this competition, The amount of data is too large, and there are different ways of dividing data. How should the offline be determined?</p>",
  "messages": [
    {
      "id": "679843",
      "postDate": "11/23/2019 14:16:31",
      "content": "<p>In this competition, The amount of data is too large, and there are different ways of dividing data. How should the offline be determined?</p>",
      "rawMarkdown": "In this competition, The amount of data is too large, and there are different ways of dividing data. How should the offline be determined?",
      "votes": null
    },
    {
      "id": "679849",
      "postDate": "11/23/2019 14:33:38",
      "content": "<p>Dividing by 'site_id' may be intuitive, <a href=\"https://www.kaggle.com/rohanrao/ashrae-divide-and-conquer\">Vopani' kernel</a> is a great job</p>",
      "rawMarkdown": "Dividing by 'site_id' may be intuitive, [Vopani' kernel](https://www.kaggle.com/rohanrao/ashrae-divide-and-conquer) is a great job",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 679849,
      "author_name": "lldatamining",
      "author_url": "",
      "post_date": "11/23/2019 14:33:38",
      "content": "<p>Dividing by 'site_id' may be intuitive, <a href=\"https://www.kaggle.com/rohanrao/ashrae-divide-and-conquer\">Vopani' kernel</a> is a great job</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "679843": "In this competition, The amount of data is too large, and there are different ways of dividing data. How should the offline be determined?",
    "679849": "Dividing by 'site_id' may be intuitive, [Vopani' kernel](https://www.kaggle.com/rohanrao/ashrae-divide-and-conquer) is a great job"
  },
  "source": "meta"
}