{
  "id": 500800,
  "title": "LightGBM, what's this?",
  "url": "/competitions/home-credit-credit-risk-model-stability/discussion/500800",
  "author_name": "",
  "post_date": "2024-05-07T02:01:49.379359900Z",
  "votes": -3,
  "comment_count": 1,
  "views": 0,
  "content": "<p>what is this LightGBM? it's not XGB which is gradient boosting and what library we are using, not scikit learn or tensorflow/keras some unknow library which i never heard of</p>",
  "messages": [
    {
      "id": "2797879",
      "postDate": "05/07/2024 02:01:49",
      "content": "<p>what is this LightGBM? it's not XGB which is gradient boosting and what library we are using, not scikit learn or tensorflow/keras some unknow library which i never heard of</p>",
      "rawMarkdown": "what is this LightGBM? it's not XGB which is gradient boosting and what library we are using, not scikit learn or tensorflow/keras some unknow library which i never heard of",
      "votes": null
    },
    {
      "id": "2797881",
      "postDate": "05/07/2024 02:06:29",
      "content": "<p>LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages:</p>\n<pre><code>Faster training speed  higher efficiency.\nLower memory usage.\nBetter accuracy.\nSupport  parallel, distributed,  GPU learning.\nCapable  handling large-scale data.\n</code></pre>\n<p><a href=\"https://github.com/microsoft/LightGBM\" target=\"_blank\">https://github.com/microsoft/LightGBM</a></p>",
      "rawMarkdown": "LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages:\n\n    Faster training speed and higher efficiency.\n    Lower memory usage.\n    Better accuracy.\n    Support of parallel, distributed, and GPU learning.\n    Capable of handling large-scale data.\n\nhttps://github.com/microsoft/LightGBM",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2797881,
      "author_name": "abc1705",
      "author_url": "",
      "post_date": "05/07/2024 02:06:29",
      "content": "<p>LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages:</p>\n<pre><code>Faster training speed  higher efficiency.\nLower memory usage.\nBetter accuracy.\nSupport  parallel, distributed,  GPU learning.\nCapable  handling large-scale data.\n</code></pre>\n<p><a href=\"https://github.com/microsoft/LightGBM\" target=\"_blank\">https://github.com/microsoft/LightGBM</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2797879": "what is this LightGBM? it's not XGB which is gradient boosting and what library we are using, not scikit learn or tensorflow/keras some unknow library which i never heard of",
    "2797881": "LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages:\n\n    Faster training speed and higher efficiency.\n    Lower memory usage.\n    Better accuracy.\n    Support of parallel, distributed, and GPU learning.\n    Capable of handling large-scale data.\n\nhttps://github.com/microsoft/LightGBM"
  },
  "source": "meta"
}