{
  "id": 234297,
  "title": "debugging 'Notebook Threw Exception' errors ?",
  "url": "/competitions/hubmap-kidney-segmentation/discussion/234297",
  "author_name": "FabienDaniel",
  "post_date": "2021-04-23T15:01:09.128000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>It is stated that:</p>\n<p><strong>Notebook Threw Exception: While rerunning your code, your notebook hit an unhandled error. Note that the hidden dataset can be larger/smaller/different than the public dataset. Due to the way Kaggle handles notebook runtime exceptions, this error class is currently only possible with scripts (not notebooks).</strong></p>\n<p>If due to differences between public and test images, any tip on the way to debug that kind of error ?</p>",
  "messages": [
    {
      "id": 1282081,
      "postDate": "2021-04-23T15:01:09.130Z",
      "content": "<p>It is stated that:</p>\n<p><strong>Notebook Threw Exception: While rerunning your code, your notebook hit an unhandled error. Note that the hidden dataset can be larger/smaller/different than the public dataset. Due to the way Kaggle handles notebook runtime exceptions, this error class is currently only possible with scripts (not notebooks).</strong></p>\n<p>If due to differences between public and test images, any tip on the way to debug that kind of error ?</p>",
      "rawMarkdown": "It is stated that:\n\n**Notebook Threw Exception: While rerunning your code, your notebook hit an unhandled error. Note that the hidden dataset can be larger/smaller/different than the public dataset. Due to the way Kaggle handles notebook runtime exceptions, this error class is currently only possible with scripts (not notebooks).**\n\nIf due to differences between public and test images, any tip on the way to debug that kind of error ?\n\n",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1282081": "It is stated that:\n\n**Notebook Threw Exception: While rerunning your code, your notebook hit an unhandled error. Note that the hidden dataset can be larger/smaller/different than the public dataset. Due to the way Kaggle handles notebook runtime exceptions, this error class is currently only possible with scripts (not notebooks).**\n\nIf due to differences between public and test images, any tip on the way to debug that kind of error ?\n\n"
  }
}