{
  "id": 129488,
  "title": "LibFFM Field-Aware factorization machine",
  "url": "/competitions/cat-in-the-dat-ii/discussion/129488",
  "author_name": "",
  "post_date": "2020-02-08T12:18:53.907311300Z",
  "votes": 13,
  "comment_count": 3,
  "views": 0,
  "content": "<p>It's been quite a while since I last shared a kernel on Kaggle !</p>\n\n<p>Here is a way to use the great <a href=\"https://github.com/ycjuan/libffm\">libffm library</a> in a kaggle kernel :  <a href=\"https://www.kaggle.com/ogrellier/libffm-model\">https://www.kaggle.com/ogrellier/libffm-model</a></p>\n\n<p>It does not score too bad ;-) </p>",
  "messages": [
    {
      "id": "739812",
      "postDate": "02/08/2020 12:18:53",
      "content": "<p>It's been quite a while since I last shared a kernel on Kaggle !</p>\n\n<p>Here is a way to use the great <a href=\"https://github.com/ycjuan/libffm\">libffm library</a> in a kaggle kernel :  <a href=\"https://www.kaggle.com/ogrellier/libffm-model\">https://www.kaggle.com/ogrellier/libffm-model</a></p>\n\n<p>It does not score too bad ;-) </p>",
      "rawMarkdown": "It's been quite a while since I last shared a kernel on Kaggle !\n\nHere is a way to use the great [libffm library](https://github.com/ycjuan/libffm) in a kaggle kernel :  https://www.kaggle.com/ogrellier/libffm-model\n \n\nIt does not score too bad ;-)",
      "votes": null
    },
    {
      "id": "739892",
      "postDate": "02/08/2020 14:23:02",
      "content": "<p>J'ai fait mon appréciation très positive dans votre nouveau Kaggle Notebook. </p>",
      "rawMarkdown": "J'ai fait mon appréciation très positive dans votre nouveau Kaggle Notebook.",
      "votes": null
    },
    {
      "id": "740681",
      "postDate": "02/09/2020 16:49:33",
      "content": "<p>Thanks! FFMs have been on my to-learn list for a while!</p>",
      "rawMarkdown": "Thanks! FFMs have been on my to-learn list for a while!",
      "votes": null
    },
    {
      "id": "743092",
      "postDate": "02/11/2020 19:29:29",
      "content": "<p><a href=\"/ogrellier\">@ogrellier</a> </p>\n\n<p>Still among your fans indeed ! </p>\n\n<p>Thanks for all your work and contributions.</p>\n\n<p>Keep it on !</p>",
      "rawMarkdown": "ogrellier \n\nStill among your fans indeed ! \n\nThanks for all your work and contributions.\n\nKeep it on !",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 739892,
      "author_name": "mpwolke",
      "author_url": "",
      "post_date": "02/08/2020 14:23:02",
      "content": "<p>J'ai fait mon appréciation très positive dans votre nouveau Kaggle Notebook. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 740681,
      "author_name": "anjum48",
      "author_url": "",
      "post_date": "02/09/2020 16:49:33",
      "content": "<p>Thanks! FFMs have been on my to-learn list for a while!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 743092,
      "author_name": "pfichou",
      "author_url": "",
      "post_date": "02/11/2020 19:29:29",
      "content": "<p><a href=\"/ogrellier\">@ogrellier</a> </p>\n\n<p>Still among your fans indeed ! </p>\n\n<p>Thanks for all your work and contributions.</p>\n\n<p>Keep it on !</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "739812": "It's been quite a while since I last shared a kernel on Kaggle !\n\nHere is a way to use the great [libffm library](https://github.com/ycjuan/libffm) in a kaggle kernel :  https://www.kaggle.com/ogrellier/libffm-model\n \n\nIt does not score too bad ;-)",
    "739892": "J'ai fait mon appréciation très positive dans votre nouveau Kaggle Notebook.",
    "740681": "Thanks! FFMs have been on my to-learn list for a while!",
    "743092": "ogrellier \n\nStill among your fans indeed ! \n\nThanks for all your work and contributions.\n\nKeep it on !"
  },
  "source": "meta"
}