{
  "id": 262518,
  "title": "Notebook Threw Exception Error",
  "url": "/competitions/siim-covid19-detection/discussion/262518",
  "author_name": "",
  "post_date": "2021-08-06T20:56:43.120285600Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I'm getting constant notebook threw exception errors. How do you guys approach this error? I'm not sure what's causing it. I ran through the notebook and it doesn't generate any exception or error. I'm thinking it's an OOM error? What do you guys think?</p>",
  "messages": [
    {
      "id": "1456280",
      "postDate": "08/06/2021 20:56:43",
      "content": "<p>I'm getting constant notebook threw exception errors. How do you guys approach this error? I'm not sure what's causing it. I ran through the notebook and it doesn't generate any exception or error. I'm thinking it's an OOM error? What do you guys think?</p>",
      "rawMarkdown": "I'm getting constant notebook threw exception errors. How do you guys approach this error? I'm not sure what's causing it. I ran through the notebook and it doesn't generate any exception or error. I'm thinking it's an OOM error? What do you guys think?",
      "votes": null
    },
    {
      "id": "1456340",
      "postDate": "08/06/2021 21:37:10",
      "content": "<p>They say that the test data is same size as train data. Try pretending the train data is test data and run your notebook to see if you get memory errors <code>test_data = pd.read_csv('train.csv')</code></p>",
      "rawMarkdown": "They say that the test data is same size as train data. Try pretending the train data is test data and run your notebook to see if you get memory errors `test_data = pd.read_csv('train.csv')`",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1456340,
      "author_name": "cdeotte",
      "author_url": "",
      "post_date": "08/06/2021 21:37:10",
      "content": "<p>They say that the test data is same size as train data. Try pretending the train data is test data and run your notebook to see if you get memory errors <code>test_data = pd.read_csv('train.csv')</code></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1456280": "I'm getting constant notebook threw exception errors. How do you guys approach this error? I'm not sure what's causing it. I ran through the notebook and it doesn't generate any exception or error. I'm thinking it's an OOM error? What do you guys think?",
    "1456340": "They say that the test data is same size as train data. Try pretending the train data is test data and run your notebook to see if you get memory errors `test_data = pd.read_csv('train.csv')`"
  },
  "source": "meta"
}