{
  "id": 543769,
  "title": "how the train data is partitioned?",
  "url": "/competitions/jane-street-real-time-market-data-forecasting/discussion/543769",
  "author_name": "",
  "post_date": "2024-11-01T11:23:48.982769600Z",
  "votes": -3,
  "comment_count": 3,
  "views": 0,
  "content": "<p>In order to save time, can someone tell me how the train data is partitioned from 0-9?</p>\n<p>by time-id  or by symbol-id?   thanks ! </p>",
  "messages": [
    {
      "id": "3033632",
      "postDate": "11/01/2024 11:23:48",
      "content": "<p>In order to save time, can someone tell me how the train data is partitioned from 0-9?</p>\n<p>by time-id  or by symbol-id?   thanks ! </p>",
      "rawMarkdown": "In order to save time, can someone tell me how the train data is partitioned from 0-9?\n\nby time-id  or by symbol-id?   thanks !",
      "votes": null
    },
    {
      "id": "3033778",
      "postDate": "11/01/2024 13:55:17",
      "content": "<p>By date_id and time_id, about 170 date_ids per partition, 849 or 968 time_ids per date_id</p>",
      "rawMarkdown": "By date_id and time_id, about 170 date_ids per partition, 849 or 968 time_ids per date_id",
      "votes": null
    },
    {
      "id": "3034355",
      "postDate": "11/02/2024 03:58:43",
      "content": "<p>thanks for your reply. That saves me some time.</p>",
      "rawMarkdown": "thanks for your reply. That saves me some time.",
      "votes": null
    },
    {
      "id": "3035576",
      "postDate": "11/03/2024 15:50:29",
      "content": "<p>you can check my notebook that I investigated all of these all in one place. I made some 3D plots of different features which might be insightful.<br>\n<a href=\"https://www.kaggle.com/code/farhankardan/advance-time-series-3d-analysis-xgboost\" target=\"_blank\">https://www.kaggle.com/code/farhankardan/advance-time-series-3d-analysis-xgboost</a></p>",
      "rawMarkdown": "you can check my notebook that I investigated all of these all in one place. I made some 3D plots of different features which might be insightful.\nhttps://www.kaggle.com/code/farhankardan/advance-time-series-3d-analysis-xgboost",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3033778,
      "author_name": "stijndupulthys",
      "author_url": "",
      "post_date": "11/01/2024 13:55:17",
      "content": "<p>By date_id and time_id, about 170 date_ids per partition, 849 or 968 time_ids per date_id</p>",
      "votes": null,
      "replies": [
        {
          "id": 3034355,
          "author_name": "dragonzhang",
          "author_url": "",
          "post_date": "11/02/2024 03:58:43",
          "content": "<p>thanks for your reply. That saves me some time.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 3035576,
      "author_name": "farhankardan",
      "author_url": "",
      "post_date": "11/03/2024 15:50:29",
      "content": "<p>you can check my notebook that I investigated all of these all in one place. I made some 3D plots of different features which might be insightful.<br>\n<a href=\"https://www.kaggle.com/code/farhankardan/advance-time-series-3d-analysis-xgboost\" target=\"_blank\">https://www.kaggle.com/code/farhankardan/advance-time-series-3d-analysis-xgboost</a></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3033632": "In order to save time, can someone tell me how the train data is partitioned from 0-9?\n\nby time-id  or by symbol-id?   thanks !",
    "3033778": "By date_id and time_id, about 170 date_ids per partition, 849 or 968 time_ids per date_id",
    "3034355": "thanks for your reply. That saves me some time.",
    "3035576": "you can check my notebook that I investigated all of these all in one place. I made some 3D plots of different features which might be insightful.\nhttps://www.kaggle.com/code/farhankardan/advance-time-series-3d-analysis-xgboost"
  },
  "source": "meta"
}