{
  "id": 455939,
  "title": "How code requirements work - Submit Inference only or both training and Inference",
  "url": "/competitions/child-mind-institute-detect-sleep-states/discussion/455939",
  "author_name": "",
  "post_date": "2023-11-17T07:51:40.771659400Z",
  "votes": 2,
  "comment_count": 2,
  "views": 0,
  "content": "<p>I am a bit confused on how code competitions work. I have a couple of questions i need help on.<br>\nDoes the allocated time of 9hrs used for inference only or for both training and inference? <br>\nCan I do the data pre-processing and model training offline and import them to kaggle for inference only. <br>\nDo I need to create two different notebooks for training and Inference, how do I submit both of them, I assume kaggle is interested in both.<br>\nWhat is the difference between commit and submit in code competitions, I didn't fully understand the explanation in kaggle faqs<br>\nWhen the requirements state that internet is to be disabled, how to install packages<br>\nHow to recreate similar kaggle environment offline<br>\nIf possible share example-resources of such</p>",
  "messages": [
    {
      "id": "2528217",
      "postDate": "11/17/2023 07:51:40",
      "content": "<p>I am a bit confused on how code competitions work. I have a couple of questions i need help on.<br>\nDoes the allocated time of 9hrs used for inference only or for both training and inference? <br>\nCan I do the data pre-processing and model training offline and import them to kaggle for inference only. <br>\nDo I need to create two different notebooks for training and Inference, how do I submit both of them, I assume kaggle is interested in both.<br>\nWhat is the difference between commit and submit in code competitions, I didn't fully understand the explanation in kaggle faqs<br>\nWhen the requirements state that internet is to be disabled, how to install packages<br>\nHow to recreate similar kaggle environment offline<br>\nIf possible share example-resources of such</p>",
      "rawMarkdown": "I am a bit confused on how code competitions work. I have a couple of questions i need help on.\nDoes the allocated time of 9hrs used for inference only or for both training and inference? \nCan I do the data pre-processing and model training offline and import them to kaggle for inference only. \nDo I need to create two different notebooks for training and Inference, how do I submit both of them, I assume kaggle is interested in both.\nWhat is the difference between commit and submit in code competitions, I didn't fully understand the explanation in kaggle faqs\nWhen the requirements state that internet is to be disabled, how to install packages\nHow to recreate similar kaggle environment offline\nIf possible share example-resources of such",
      "votes": null
    },
    {
      "id": "2528331",
      "postDate": "11/17/2023 09:18:45",
      "content": "<p>You need to submit the model inference for sure (as this will be used to predict the hidden test set) <a href=\"https://www.kaggle.com/kenpachi99\" target=\"_blank\">@kenpachi99</a>. You may also submit the training elements (this is not compulsory and is often counter-productive in such large datasets)</p>\n<p>Usually people train elsewhere (on Kaggle/ local PC) and save models to infer as a Kaggle dataset. This is then used to submit to the LB for evaluation. </p>",
      "rawMarkdown": "You need to submit the model inference for sure (as this will be used to predict the hidden test set) @kenpachi99. You may also submit the training elements (this is not compulsory and is often counter-productive in such large datasets)\n\nUsually people train elsewhere (on Kaggle/ local PC) and save models to infer as a Kaggle dataset. This is then used to submit to the LB for evaluation.",
      "votes": null
    },
    {
      "id": "2528343",
      "postDate": "11/17/2023 09:38:14",
      "content": "<p>Thank you <a href=\"https://www.kaggle.com/ravi20076\" target=\"_blank\">@ravi20076</a> , that explains alot</p>",
      "rawMarkdown": "Thank you @ravi20076 , that explains alot",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2528331,
      "author_name": "ravi20076",
      "author_url": "",
      "post_date": "11/17/2023 09:18:45",
      "content": "<p>You need to submit the model inference for sure (as this will be used to predict the hidden test set) <a href=\"https://www.kaggle.com/kenpachi99\" target=\"_blank\">@kenpachi99</a>. You may also submit the training elements (this is not compulsory and is often counter-productive in such large datasets)</p>\n<p>Usually people train elsewhere (on Kaggle/ local PC) and save models to infer as a Kaggle dataset. This is then used to submit to the LB for evaluation. </p>",
      "votes": null,
      "replies": [
        {
          "id": 2528343,
          "author_name": "kenpachi99",
          "author_url": "",
          "post_date": "11/17/2023 09:38:14",
          "content": "<p>Thank you <a href=\"https://www.kaggle.com/ravi20076\" target=\"_blank\">@ravi20076</a> , that explains alot</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2528217": "I am a bit confused on how code competitions work. I have a couple of questions i need help on.\nDoes the allocated time of 9hrs used for inference only or for both training and inference? \nCan I do the data pre-processing and model training offline and import them to kaggle for inference only. \nDo I need to create two different notebooks for training and Inference, how do I submit both of them, I assume kaggle is interested in both.\nWhat is the difference between commit and submit in code competitions, I didn't fully understand the explanation in kaggle faqs\nWhen the requirements state that internet is to be disabled, how to install packages\nHow to recreate similar kaggle environment offline\nIf possible share example-resources of such",
    "2528331": "You need to submit the model inference for sure (as this will be used to predict the hidden test set) @kenpachi99. You may also submit the training elements (this is not compulsory and is often counter-productive in such large datasets)\n\nUsually people train elsewhere (on Kaggle/ local PC) and save models to infer as a Kaggle dataset. This is then used to submit to the LB for evaluation.",
    "2528343": "Thank you @ravi20076 , that explains alot"
  },
  "source": "meta"
}