{
  "id": 551713,
  "title": "TabM implementation results?",
  "url": "/competitions/child-mind-institute-problematic-internet-use/discussion/551713",
  "author_name": "",
  "post_date": "2024-12-15T00:49:40.217626700Z",
  "votes": 1,
  "comment_count": 4,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/competitions/um-game-playing-strength-of-mcts-variants/discussion/549801\" target=\"_blank\">https://www.kaggle.com/competitions/um-game-playing-strength-of-mcts-variants/discussion/549801</a><br>\nMay someone explain why it isn't used in public codes in this competition?</p>",
  "messages": [
    {
      "id": "3072268",
      "postDate": "12/15/2024 00:49:40",
      "content": "<p><a href=\"https://www.kaggle.com/competitions/um-game-playing-strength-of-mcts-variants/discussion/549801\" target=\"_blank\">https://www.kaggle.com/competitions/um-game-playing-strength-of-mcts-variants/discussion/549801</a><br>\nMay someone explain why it isn't used in public codes in this competition?</p>",
      "rawMarkdown": "https://www.kaggle.com/competitions/um-game-playing-strength-of-mcts-variants/discussion/549801\nMay someone explain why it isn't used in public codes in this competition?",
      "votes": null
    },
    {
      "id": "3072278",
      "postDate": "12/15/2024 01:27:56",
      "content": "<p>I'd be happy to create a baseline similar to my DeepTables NN, but it's too late to publish notebooks. You can make it by yourself; it's pretty doable (if you didn't already).</p>",
      "rawMarkdown": "I'd be happy to create a baseline similar to my DeepTables NN, but it's too late to publish notebooks. You can make it by yourself; it's pretty doable (if you didn't already).",
      "votes": null
    },
    {
      "id": "3074371",
      "postDate": "12/17/2024 15:42:12",
      "content": "<p>I have used code tabm in github but over memory</p>",
      "rawMarkdown": "I have used code tabm in github but over memory",
      "votes": null
    },
    {
      "id": "3074382",
      "postDate": "12/17/2024 15:52:42",
      "content": "<p>Try running <a href=\"https://www.kaggle.com/datasets/jsday96/mcts-tabm-models/data?select=TabMRegressor.py\" target=\"_blank\">this</a> implementation from the 1st place solution of the MCTS competition. Also, I have a public dataset with library files and run examples if you are interested.</p>",
      "rawMarkdown": "Try running [this](https://www.kaggle.com/datasets/jsday96/mcts-tabm-models/data?select=TabMRegressor.py) implementation from the 1st place solution of the MCTS competition. Also, I have a public dataset with library files and run examples if you are interested.",
      "votes": null
    },
    {
      "id": "3074479",
      "postDate": "12/17/2024 18:05:53",
      "content": "<p>Thank you! Thought it isn't publicly available</p>",
      "rawMarkdown": "Thank you! Thought it isn't publicly available",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3072278,
      "author_name": "yekenot",
      "author_url": "",
      "post_date": "12/15/2024 01:27:56",
      "content": "<p>I'd be happy to create a baseline similar to my DeepTables NN, but it's too late to publish notebooks. You can make it by yourself; it's pretty doable (if you didn't already).</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 3074371,
      "author_name": "damvantai",
      "author_url": "",
      "post_date": "12/17/2024 15:42:12",
      "content": "<p>I have used code tabm in github but over memory</p>",
      "votes": null,
      "replies": [
        {
          "id": 3074382,
          "author_name": "yekenot",
          "author_url": "",
          "post_date": "12/17/2024 15:52:42",
          "content": "<p>Try running <a href=\"https://www.kaggle.com/datasets/jsday96/mcts-tabm-models/data?select=TabMRegressor.py\" target=\"_blank\">this</a> implementation from the 1st place solution of the MCTS competition. Also, I have a public dataset with library files and run examples if you are interested.</p>",
          "votes": null,
          "replies": [
            {
              "id": 3074479,
              "author_name": "aisysxd",
              "author_url": "",
              "post_date": "12/17/2024 18:05:53",
              "content": "<p>Thank you! Thought it isn't publicly available</p>",
              "votes": null,
              "replies": []
            }
          ]
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3072268": "https://www.kaggle.com/competitions/um-game-playing-strength-of-mcts-variants/discussion/549801\nMay someone explain why it isn't used in public codes in this competition?",
    "3072278": "I'd be happy to create a baseline similar to my DeepTables NN, but it's too late to publish notebooks. You can make it by yourself; it's pretty doable (if you didn't already).",
    "3074371": "I have used code tabm in github but over memory",
    "3074382": "Try running [this](https://www.kaggle.com/datasets/jsday96/mcts-tabm-models/data?select=TabMRegressor.py) implementation from the 1st place solution of the MCTS competition. Also, I have a public dataset with library files and run examples if you are interested.",
    "3074479": "Thank you! Thought it isn't publicly available"
  },
  "source": "meta"
}