{
  "id": 550399,
  "title": "deep-river for online training",
  "url": "/competitions/jane-street-real-time-market-data-forecasting/discussion/550399",
  "author_name": "",
  "post_date": "2024-12-07T08:52:52.912594300Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Has anybody considered using deep-river for this problem</p>\n<p><a href=\"https://github.com/online-ml/deep-river\" target=\"_blank\">https://github.com/online-ml/deep-river</a></p>\n<p>I am not too clear how to get the test data setup for deep-river training</p>",
  "messages": [
    {
      "id": "3065751",
      "postDate": "12/07/2024 08:52:52",
      "content": "<p>Has anybody considered using deep-river for this problem</p>\n<p><a href=\"https://github.com/online-ml/deep-river\" target=\"_blank\">https://github.com/online-ml/deep-river</a></p>\n<p>I am not too clear how to get the test data setup for deep-river training</p>",
      "rawMarkdown": "Has anybody considered using deep-river for this problem\n\nhttps://github.com/online-ml/deep-river\n\nI am not too clear how to get the test data setup for deep-river training",
      "votes": null
    },
    {
      "id": "3065755",
      "postDate": "12/07/2024 08:59:10",
      "content": "<p>nice info and thanks for sharing. I wonder if it is more efficient to learn a new framework (if not already known) than having a native implementation fully tailored for this competition. DeepRiver can help reducing some engineering code, but the downside is the complexity in debugging. Nevertheless, the source code of this package is very clean and provides a good template for OL.</p>",
      "rawMarkdown": "nice info and thanks for sharing. I wonder if it is more efficient to learn a new framework (if not already known) than having a native implementation fully tailored for this competition. DeepRiver can help reducing some engineering code, but the downside is the complexity in debugging. Nevertheless, the source code of this package is very clean and provides a good template for OL.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3065755,
      "author_name": "shiyili",
      "author_url": "",
      "post_date": "12/07/2024 08:59:10",
      "content": "<p>nice info and thanks for sharing. I wonder if it is more efficient to learn a new framework (if not already known) than having a native implementation fully tailored for this competition. DeepRiver can help reducing some engineering code, but the downside is the complexity in debugging. Nevertheless, the source code of this package is very clean and provides a good template for OL.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3065751": "Has anybody considered using deep-river for this problem\n\nhttps://github.com/online-ml/deep-river\n\nI am not too clear how to get the test data setup for deep-river training",
    "3065755": "nice info and thanks for sharing. I wonder if it is more efficient to learn a new framework (if not already known) than having a native implementation fully tailored for this competition. DeepRiver can help reducing some engineering code, but the downside is the complexity in debugging. Nevertheless, the source code of this package is very clean and provides a good template for OL."
  },
  "source": "meta"
}