{
  "id": 540955,
  "title": "Fix Published to Evaluation Library",
  "url": "/competitions/jane-street-real-time-market-data-forecasting/discussion/540955",
  "author_name": "",
  "post_date": "2024-10-16T19:00:41.483853Z",
  "votes": 5,
  "comment_count": 2,
  "views": 0,
  "content": "<p>We just published a fix to the evaluation library. As pointed out in <a href=\"https://www.kaggle.com/competitions/jane-street-real-time-market-data-forecasting/discussion/540505\" target=\"_blank\">this post</a>, writing a submission would fail when predictions are returned as a Pandas dataframe. This should work correctly now. Please let us know if you encounter any other trouble!</p>",
  "messages": [
    {
      "id": "3019705",
      "postDate": "10/16/2024 19:00:41",
      "content": "<p>We just published a fix to the evaluation library. As pointed out in <a href=\"https://www.kaggle.com/competitions/jane-street-real-time-market-data-forecasting/discussion/540505\" target=\"_blank\">this post</a>, writing a submission would fail when predictions are returned as a Pandas dataframe. This should work correctly now. Please let us know if you encounter any other trouble!</p>",
      "rawMarkdown": "We just published a fix to the evaluation library. As pointed out in [this post](https://www.kaggle.com/competitions/jane-street-real-time-market-data-forecasting/discussion/540505), writing a submission would fail when predictions are returned as a Pandas dataframe. This should work correctly now. Please let us know if you encounter any other trouble!",
      "votes": null
    },
    {
      "id": "3020071",
      "postDate": "10/17/2024 06:18:29",
      "content": "<p><a href=\"https://www.kaggle.com/ryanholbrook\" target=\"_blank\">@ryanholbrook</a> Hello, will we have a indicator to tell us which part of test set will be scored? (to save inference time)</p>",
      "rawMarkdown": "ryanholbrook Hello, will we have a indicator to tell us which part of test set will be scored? (to save inference time)",
      "votes": null
    },
    {
      "id": "3020339",
      "postDate": "10/17/2024 12:18:58",
      "content": "<p><a href=\"https://www.kaggle.com/yuanzhezhou\" target=\"_blank\">@yuanzhezhou</a> Yes, <code>test.parquet</code> includes a column <code>is_scored</code>, <code>True</code> if scored and <code>False</code> if not. I'll add it to the docs to clarify.</p>",
      "rawMarkdown": "yuanzhezhou Yes, `test.parquet` includes a column `is_scored`, `True` if scored and `False` if not. I'll add it to the docs to clarify.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3020071,
      "author_name": "yuanzhezhou",
      "author_url": "",
      "post_date": "10/17/2024 06:18:29",
      "content": "<p><a href=\"https://www.kaggle.com/ryanholbrook\" target=\"_blank\">@ryanholbrook</a> Hello, will we have a indicator to tell us which part of test set will be scored? (to save inference time)</p>",
      "votes": null,
      "replies": [
        {
          "id": 3020339,
          "author_name": "ryanholbrook",
          "author_url": "",
          "post_date": "10/17/2024 12:18:58",
          "content": "<p><a href=\"https://www.kaggle.com/yuanzhezhou\" target=\"_blank\">@yuanzhezhou</a> Yes, <code>test.parquet</code> includes a column <code>is_scored</code>, <code>True</code> if scored and <code>False</code> if not. I'll add it to the docs to clarify.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3019705": "We just published a fix to the evaluation library. As pointed out in [this post](https://www.kaggle.com/competitions/jane-street-real-time-market-data-forecasting/discussion/540505), writing a submission would fail when predictions are returned as a Pandas dataframe. This should work correctly now. Please let us know if you encounter any other trouble!",
    "3020071": "ryanholbrook Hello, will we have a indicator to tell us which part of test set will be scored? (to save inference time)",
    "3020339": "yuanzhezhou Yes, `test.parquet` includes a column `is_scored`, `True` if scored and `False` if not. I'll add it to the docs to clarify."
  },
  "source": "meta"
}