{
  "id": 173173,
  "title": "Is model training outside kaggle kernel allowed?",
  "url": "/competitions/birdsong-recognition/discussion/173173",
  "author_name": "",
  "post_date": "2020-08-08T06:54:00.758325300Z",
  "votes": 2,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Sorry I am new to Notebooks-only competition.<br>\nI usually use my local machine to experiment different parameters and model structures to train and get the \"optimal\" model.</p>\n<p>Can i train model in local machine, then only use kaggle kernel to load it and inference the result for submission? </p>\n<p>Thanks</p>",
  "messages": [
    {
      "id": "962488",
      "postDate": "08/08/2020 06:54:00",
      "content": "<p>Sorry I am new to Notebooks-only competition.<br>\nI usually use my local machine to experiment different parameters and model structures to train and get the \"optimal\" model.</p>\n<p>Can i train model in local machine, then only use kaggle kernel to load it and inference the result for submission? </p>\n<p>Thanks</p>",
      "rawMarkdown": "Sorry I am new to Notebooks-only competition.\nI usually use my local machine to experiment different parameters and model structures to train and get the \"optimal\" model.\n\nCan i train model in local machine, then only use kaggle kernel to load it and inference the result for submission? \n\nThanks",
      "votes": null
    },
    {
      "id": "962507",
      "postDate": "08/08/2020 07:17:16",
      "content": "<p>Yes\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1690820%2Fa0d5365f0bd84706832f60946326eb71%2FScreenshot%20from%202020-08-08%2010-16-35.png?generation=1596871034513813&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "Yes\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1690820%2Fa0d5365f0bd84706832f60946326eb71%2FScreenshot%20from%202020-08-08%2010-16-35.png?generation=1596871034513813&amp;alt=media)",
      "votes": null
    },
    {
      "id": "962714",
      "postDate": "08/08/2020 11:25:22",
      "content": "<p>thanks man</p>",
      "rawMarkdown": "thanks man",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 962507,
      "author_name": "vladimirsydor",
      "author_url": "",
      "post_date": "08/08/2020 07:17:16",
      "content": "<p>Yes\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1690820%2Fa0d5365f0bd84706832f60946326eb71%2FScreenshot%20from%202020-08-08%2010-16-35.png?generation=1596871034513813&amp;alt=media\" alt=\"\"></p>",
      "votes": null,
      "replies": [
        {
          "id": 962714,
          "author_name": "fiyeroleung",
          "author_url": "",
          "post_date": "08/08/2020 11:25:22",
          "content": "<p>thanks man</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "962488": "Sorry I am new to Notebooks-only competition.\nI usually use my local machine to experiment different parameters and model structures to train and get the \"optimal\" model.\n\nCan i train model in local machine, then only use kaggle kernel to load it and inference the result for submission? \n\nThanks",
    "962507": "Yes\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1690820%2Fa0d5365f0bd84706832f60946326eb71%2FScreenshot%20from%202020-08-08%2010-16-35.png?generation=1596871034513813&amp;alt=media)",
    "962714": "thanks man"
  },
  "source": "meta"
}