{
  "id": 107714,
  "title": "Submission Error",
  "url": "/competitions/aptos2019-blindness-detection/discussion/107714",
  "author_name": "",
  "post_date": "2019-09-06T05:50:13.650141Z",
  "votes": null,
  "comment_count": 3,
  "views": 0,
  "content": "<p>can anyone help me\ni have no successful submissions</p>\n\n<p>submission = pd.DataFrame({'id_code':pd.read_csv('../input/aptos2019-blindness-detection/sample_submission.csv').id_code.values,\n                          'diagnosis':np.squeeze(preds).astype(int)})\nprint(submission.head())\nsubmission.to_csv('submission.csv', index=False)</p>\n\n<p>Kernel threw exception.</p>",
  "messages": [
    {
      "id": "619357",
      "postDate": "09/06/2019 05:50:13",
      "content": "<p>can anyone help me\ni have no successful submissions</p>\n\n<p>submission = pd.DataFrame({'id_code':pd.read_csv('../input/aptos2019-blindness-detection/sample_submission.csv').id_code.values,\n                          'diagnosis':np.squeeze(preds).astype(int)})\nprint(submission.head())\nsubmission.to_csv('submission.csv', index=False)</p>\n\n<p>Kernel threw exception.</p>",
      "rawMarkdown": "can anyone help me\ni have no successful submissions\n\nsubmission = pd.DataFrame({'id_code':pd.read_csv('../input/aptos2019-blindness-detection/sample_submission.csv').id_code.values,\n                          'diagnosis':np.squeeze(preds).astype(int)})\nprint(submission.head())\nsubmission.to_csv('submission.csv', index=False)\n\nKernel threw exception.",
      "votes": null
    },
    {
      "id": "619362",
      "postDate": "09/06/2019 05:56:39",
      "content": "<p>you can see this discuss\nhttps://www.kaggle.com/c/aptos2019-blindness-detection/discussion/102718#latest-593892</p>",
      "rawMarkdown": "you can see this discuss\n[https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/102718#latest-593892]()",
      "votes": null
    },
    {
      "id": "619375",
      "postDate": "09/06/2019 06:26:30",
      "content": "<p>how many columns in (my_predictions = pd.read_csv('../input/my_predictions/my_predictions.csv')) file?</p>",
      "rawMarkdown": "how many columns in (my_predictions = pd.read_csv('../input/my_predictions/my_predictions.csv')) file?",
      "votes": null
    },
    {
      "id": "619376",
      "postDate": "09/06/2019 06:27:08",
      "content": "<p>Thanks!</p>",
      "rawMarkdown": "Thanks!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 619362,
      "author_name": "jiangkun2",
      "author_url": "",
      "post_date": "09/06/2019 05:56:39",
      "content": "<p>you can see this discuss\nhttps://www.kaggle.com/c/aptos2019-blindness-detection/discussion/102718#latest-593892</p>",
      "votes": null,
      "replies": [
        {
          "id": 619375,
          "author_name": "tahiranazir77",
          "author_url": "",
          "post_date": "09/06/2019 06:26:30",
          "content": "<p>how many columns in (my_predictions = pd.read_csv('../input/my_predictions/my_predictions.csv')) file?</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 619376,
          "author_name": "tahiranazir77",
          "author_url": "",
          "post_date": "09/06/2019 06:27:08",
          "content": "<p>Thanks!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "619357": "can anyone help me\ni have no successful submissions\n\nsubmission = pd.DataFrame({'id_code':pd.read_csv('../input/aptos2019-blindness-detection/sample_submission.csv').id_code.values,\n                          'diagnosis':np.squeeze(preds).astype(int)})\nprint(submission.head())\nsubmission.to_csv('submission.csv', index=False)\n\nKernel threw exception.",
    "619362": "you can see this discuss\n[https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/102718#latest-593892]()",
    "619375": "how many columns in (my_predictions = pd.read_csv('../input/my_predictions/my_predictions.csv')) file?",
    "619376": "Thanks!"
  },
  "source": "meta"
}