{
  "id": 298661,
  "title": "Submission Scoring Error",
  "url": "/competitions/g-research-crypto-forecasting/discussion/298661",
  "author_name": "",
  "post_date": "2022-01-04T03:24:52.221993Z",
  "votes": 2,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I don't understand why I get a Submission Scoring Error. If anyone knows, please let me know.</p>\n<p><a href=\"https://www.kaggle.com/hiroki8383/base-analysis\" target=\"_blank\">https://www.kaggle.com/hiroki8383/base-analysis</a></p>",
  "messages": [
    {
      "id": "1637578",
      "postDate": "01/04/2022 03:24:52",
      "content": "<p>I don't understand why I get a Submission Scoring Error. If anyone knows, please let me know.</p>\n<p><a href=\"https://www.kaggle.com/hiroki8383/base-analysis\" target=\"_blank\">https://www.kaggle.com/hiroki8383/base-analysis</a></p>",
      "rawMarkdown": "I don't understand why I get a Submission Scoring Error. If anyone knows, please let me know.\n\nhttps://www.kaggle.com/hiroki8383/base-analysis",
      "votes": null
    },
    {
      "id": "1637665",
      "postDate": "01/04/2022 05:31:05",
      "content": "<p>Some of the test submission groups do not have the full coin set in them, I see that when you run your get feature routine you are iterating through the complete set of 13 cryptos.  Make sure that you only pass back the test_df, you could likely solve this by merging your final submission onto a copy of the original dataframe.</p>",
      "rawMarkdown": "Some of the test submission groups do not have the full coin set in them, I see that when you run your get feature routine you are iterating through the complete set of 13 cryptos.  Make sure that you only pass back the test_df, you could likely solve this by merging your final submission onto a copy of the original dataframe.",
      "votes": null
    },
    {
      "id": "1637914",
      "postDate": "01/04/2022 09:44:07",
      "content": "<p>Thank you！！</p>",
      "rawMarkdown": "Thank you！！",
      "votes": null
    },
    {
      "id": "1647852",
      "postDate": "01/13/2022 01:11:22",
      "content": "<p>Probably there is some notebook's exception during the calculations. This one works for me</p>\n<pre><code>for (test_df, sample_prediction_df) in iter_test:\n    try:\n        update_history()\n        sample_prediction_df.loc[:, 'Target'] = get_predictions()\n    except Exception:\n        sample_prediction_df.loc[:, 'Target'] = 0\n    finally:\n        env.predict(sample_prediction_df)\n</code></pre>\n<p>you can try to catch exception with logger and figure out what happens exactly</p>",
      "rawMarkdown": "Probably there is some notebook's exception during the calculations. This one works for me\n```\nfor (test_df, sample_prediction_df) in iter_test:\n    try:\n        update_history()\n        sample_prediction_df.loc[:, 'Target'] = get_predictions()\n    except Exception:\n        sample_prediction_df.loc[:, 'Target'] = 0\n    finally:\n        env.predict(sample_prediction_df)\n```\n \nyou can try to catch exception with logger and figure out what happens exactly",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1637665,
      "author_name": "jonnydossantos",
      "author_url": "",
      "post_date": "01/04/2022 05:31:05",
      "content": "<p>Some of the test submission groups do not have the full coin set in them, I see that when you run your get feature routine you are iterating through the complete set of 13 cryptos.  Make sure that you only pass back the test_df, you could likely solve this by merging your final submission onto a copy of the original dataframe.</p>",
      "votes": null,
      "replies": [
        {
          "id": 1637914,
          "author_name": "hiroki8383",
          "author_url": "",
          "post_date": "01/04/2022 09:44:07",
          "content": "<p>Thank you！！</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1647852,
      "author_name": "aleksandrsukhomlinov",
      "author_url": "",
      "post_date": "01/13/2022 01:11:22",
      "content": "<p>Probably there is some notebook's exception during the calculations. This one works for me</p>\n<pre><code>for (test_df, sample_prediction_df) in iter_test:\n    try:\n        update_history()\n        sample_prediction_df.loc[:, 'Target'] = get_predictions()\n    except Exception:\n        sample_prediction_df.loc[:, 'Target'] = 0\n    finally:\n        env.predict(sample_prediction_df)\n</code></pre>\n<p>you can try to catch exception with logger and figure out what happens exactly</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1637578": "I don't understand why I get a Submission Scoring Error. If anyone knows, please let me know.\n\nhttps://www.kaggle.com/hiroki8383/base-analysis",
    "1637665": "Some of the test submission groups do not have the full coin set in them, I see that when you run your get feature routine you are iterating through the complete set of 13 cryptos.  Make sure that you only pass back the test_df, you could likely solve this by merging your final submission onto a copy of the original dataframe.",
    "1637914": "Thank you！！",
    "1647852": "Probably there is some notebook's exception during the calculations. This one works for me\n```\nfor (test_df, sample_prediction_df) in iter_test:\n    try:\n        update_history()\n        sample_prediction_df.loc[:, 'Target'] = get_predictions()\n    except Exception:\n        sample_prediction_df.loc[:, 'Target'] = 0\n    finally:\n        env.predict(sample_prediction_df)\n```\n \nyou can try to catch exception with logger and figure out what happens exactly"
  },
  "source": "meta"
}