{
  "id": 541501,
  "title": "Any one with LSTM?",
  "url": "/competitions/jane-street-real-time-market-data-forecasting/discussion/541501",
  "author_name": "pranav wankhade",
  "post_date": "2024-10-20T00:28:49.480000",
  "votes": 1,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Any one with LSTM?</p>",
  "messages": [
    {
      "id": 3082648,
      "postDate": "2024-12-28T12:58:00.523Z",
      "content": "<p><a href=\"https://www.kaggle.com/code/regisvargas/training-lstm-applied-to-filtered-data\" target=\"_blank\">https://www.kaggle.com/code/regisvargas/training-lstm-applied-to-filtered-data</a></p>\n<p><a href=\"https://www.kaggle.com/code/regisvargas/inference-lstm-applied-to-filtered-data\" target=\"_blank\">https://www.kaggle.com/code/regisvargas/inference-lstm-applied-to-filtered-data</a></p>",
      "rawMarkdown": "https://www.kaggle.com/code/regisvargas/training-lstm-applied-to-filtered-data\n\nhttps://www.kaggle.com/code/regisvargas/inference-lstm-applied-to-filtered-data",
      "votes": 2,
      "replies": [
        {
          "id": 3082848,
          "postDate": "2024-12-28T17:08:09.330Z",
          "rawMarkdown": "",
          "isDeleted": true,
          "replies": [
            {
              "id": 3082939,
              "postDate": "2024-12-28T19:32:46.217Z",
              "content": "<p>Can I ask what are you using? Nice position on the LB!</p>\n<p>I got an LSTM to work with mediocre results (0.0049). Even with online learning (added about 0.0015 to score), but now I`m kind of stuck and looking for new ideas.</p>",
              "rawMarkdown": "Can I ask what are you using? Nice position on the LB!\n\nI got an LSTM to work with mediocre results (0.0049). Even with online learning (added about 0.0015 to score), but now I`m kind of stuck and looking for new ideas.",
              "votes": 2
            }
          ]
        }
      ]
    },
    {
      "id": 3022790,
      "postDate": "2024-10-20T00:28:49.480Z",
      "content": "<p>Any one with LSTM?</p>",
      "rawMarkdown": "Any one with LSTM?",
      "votes": 1
    }
  ],
  "comments": [
    {
      "id": 3082648,
      "author_name": "Regis Vargas",
      "author_url": "",
      "post_date": "2024-12-28T12:58:00.523000",
      "content": "<p><a href=\"https://www.kaggle.com/code/regisvargas/training-lstm-applied-to-filtered-data\" target=\"_blank\">https://www.kaggle.com/code/regisvargas/training-lstm-applied-to-filtered-data</a></p>\n<p><a href=\"https://www.kaggle.com/code/regisvargas/inference-lstm-applied-to-filtered-data\" target=\"_blank\">https://www.kaggle.com/code/regisvargas/inference-lstm-applied-to-filtered-data</a></p>",
      "votes": 2,
      "replies": [
        {
          "id": 3082848,
          "author_name": "",
          "author_url": "",
          "post_date": "2024-12-28T17:08:09.330000",
          "content": "",
          "votes": 0,
          "replies": [
            {
              "id": 3082939,
              "author_name": "pl4$m4",
              "author_url": "",
              "post_date": "2024-12-28T19:32:46.217000",
              "content": "<p>Can I ask what are you using? Nice position on the LB!</p>\n<p>I got an LSTM to work with mediocre results (0.0049). Even with online learning (added about 0.0015 to score), but now I`m kind of stuck and looking for new ideas.</p>",
              "votes": 2,
              "replies": []
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3082648": "https://www.kaggle.com/code/regisvargas/training-lstm-applied-to-filtered-data\n\nhttps://www.kaggle.com/code/regisvargas/inference-lstm-applied-to-filtered-data",
    "3022790": "Any one with LSTM?"
  }
}