{
  "id": 476569,
  "title": "Why there is a Notebook Threw Exception?",
  "url": "/competitions/home-credit-credit-risk-model-stability/discussion/476569",
  "author_name": "",
  "post_date": "2024-02-12T20:24:59.035746Z",
  "votes": 5,
  "comment_count": 4,
  "views": 0,
  "content": "<p>My code pass the test locally and I can run the whole notebook without exception by clicking 'Run ALL' and generate a proper submission csv file. But in the submission, there is always a Notebook Threw Exception leading to failure. Does anybody encounter the same error?</p>",
  "messages": [
    {
      "id": "2649430",
      "postDate": "02/12/2024 20:24:59",
      "content": "<p>My code pass the test locally and I can run the whole notebook without exception by clicking 'Run ALL' and generate a proper submission csv file. But in the submission, there is always a Notebook Threw Exception leading to failure. Does anybody encounter the same error?</p>",
      "rawMarkdown": "My code pass the test locally and I can run the whole notebook without exception by clicking 'Run ALL' and generate a proper submission csv file. But in the submission, there is always a Notebook Threw Exception leading to failure. Does anybody encounter the same error?",
      "votes": null
    },
    {
      "id": "2649484",
      "postDate": "02/12/2024 21:27:00",
      "content": "<p>Yes, many of us are encountering this problem. This is due to the sheer size of the data <a href=\"https://www.kaggle.com/zihaoyinetudient\" target=\"_blank\">@zihaoyinetudient</a> <br>\nYou need to be very careful to develop features in batches and load and predict in batches too.</p>",
      "rawMarkdown": "Yes, many of us are encountering this problem. This is due to the sheer size of the data @zihaoyinetudient \nYou need to be very careful to develop features in batches and load and predict in batches too.",
      "votes": null
    },
    {
      "id": "2649747",
      "postDate": "02/13/2024 04:48:20",
      "content": "<p>you can find solution in my notebook <a href=\"https://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception\" target=\"_blank\">https://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception</a></p>",
      "rawMarkdown": "you can find solution in my notebook https://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception",
      "votes": null
    },
    {
      "id": "2652090",
      "postDate": "02/14/2024 15:02:33",
      "content": "<p>thankyou so much</p>",
      "rawMarkdown": "thankyou so much",
      "votes": null
    },
    {
      "id": "2652091",
      "postDate": "02/14/2024 15:02:45",
      "content": "<p>thankyou I will check this</p>",
      "rawMarkdown": "thankyou I will check this",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2649484,
      "author_name": "ravi20076",
      "author_url": "",
      "post_date": "02/12/2024 21:27:00",
      "content": "<p>Yes, many of us are encountering this problem. This is due to the sheer size of the data <a href=\"https://www.kaggle.com/zihaoyinetudient\" target=\"_blank\">@zihaoyinetudient</a> <br>\nYou need to be very careful to develop features in batches and load and predict in batches too.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2652091,
          "author_name": "zihaoyinetudient",
          "author_url": "",
          "post_date": "02/14/2024 15:02:45",
          "content": "<p>thankyou I will check this</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2649747,
      "author_name": "yunsuxiaozi",
      "author_url": "",
      "post_date": "02/13/2024 04:48:20",
      "content": "<p>you can find solution in my notebook <a href=\"https://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception\" target=\"_blank\">https://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 2652090,
          "author_name": "zihaoyinetudient",
          "author_url": "",
          "post_date": "02/14/2024 15:02:33",
          "content": "<p>thankyou so much</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2649430": "My code pass the test locally and I can run the whole notebook without exception by clicking 'Run ALL' and generate a proper submission csv file. But in the submission, there is always a Notebook Threw Exception leading to failure. Does anybody encounter the same error?",
    "2649484": "Yes, many of us are encountering this problem. This is due to the sheer size of the data @zihaoyinetudient \nYou need to be very careful to develop features in batches and load and predict in batches too.",
    "2649747": "you can find solution in my notebook https://www.kaggle.com/code/yunsuxiaozi/solution-of-threw-exception",
    "2652090": "thankyou so much",
    "2652091": "thankyou I will check this"
  },
  "source": "meta"
}