{
  "id": 338190,
  "title": "Exploratory Data Analysis Visualisation software",
  "url": "/competitions/mayo-clinic-strip-ai/discussion/338190",
  "author_name": "bhatika",
  "post_date": "2022-07-19T14:56:58.008000",
  "votes": 9,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hi all! For anyone interested in exploring image datasets and model performance, we are making our visualisation software free to participants for the duration of the challenge: <a href=\"https://meta-lynx.github.io/metascatterV2/\" target=\"_blank\">https://meta-lynx.github.io/metascatterV2/</a> You can download it from there using the password curseofdimensionality <em>Note that it is not open source so should not be part of your solution</em>, but it may be interesting to visualise what you've done. Good luck everyone! </p>",
  "messages": [
    {
      "id": 1862258,
      "postDate": "2022-07-19T14:56:58.010Z",
      "content": "<p>Hi all! For anyone interested in exploring image datasets and model performance, we are making our visualisation software free to participants for the duration of the challenge: <a href=\"https://meta-lynx.github.io/metascatterV2/\" target=\"_blank\">https://meta-lynx.github.io/metascatterV2/</a> You can download it from there using the password curseofdimensionality <em>Note that it is not open source so should not be part of your solution</em>, but it may be interesting to visualise what you've done. Good luck everyone! </p>",
      "rawMarkdown": "Hi all! For anyone interested in exploring image datasets and model performance, we are making our visualisation software free to participants for the duration of the challenge: https://meta-lynx.github.io/metascatterV2/ You can download it from there using the password curseofdimensionality *Note that it is not open source so should not be part of your solution*, but it may be interesting to visualise what you've done. Good luck everyone! ",
      "votes": 8
    },
    {
      "id": 1870190,
      "postDate": "2022-07-25T11:04:35.110Z",
      "content": "<p>You can use as a data exploration tool to look through datasets, view evaluation statistics, explore data distributions and compare models<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F487856%2F6e030f01c082bcf876f7fe7e6d286eff%2Fmetalynx_functionality.png?generation=1658746982532022&amp;alt=media\" alt=\"Metalynx functionality\"></p>",
      "rawMarkdown": "You can use as a data exploration tool to look through datasets, view evaluation statistics, explore data distributions and compare models\n![Metalynx functionality](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F487856%2F6e030f01c082bcf876f7fe7e6d286eff%2Fmetalynx_functionality.png?generation=1658746982532022&alt=media)",
      "votes": 2,
      "replies": [
        {
          "id": 2125813,
          "postDate": "2023-02-01T23:10:53.707Z",
          "content": "<blockquote>\n  <p>You can use as a data exploration tool to look through datasets, view evaluation statistics, explore data distributions and compare models<br>\n  <img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F487856%2F6e030f01c082bcf876f7fe7e6d286eff%2Fmetalynx_functionality.png?generation=1658746982532022&amp;alt=media\" alt=\"Metalynx functionality\"></p>\n</blockquote>\n<p>Great, It would be a great help for me!<br>\nThank you.</p>",
          "rawMarkdown": "> You can use as a data exploration tool to look through datasets, view evaluation statistics, explore data distributions and compare models\n> ![Metalynx functionality](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F487856%2F6e030f01c082bcf876f7fe7e6d286eff%2Fmetalynx_functionality.png?generation=1658746982532022&alt=media)\n\nGreat, It would be a great help for me!\nThank you."
        }
      ]
    },
    {
      "id": 1867029,
      "postDate": "2022-07-23T01:19:58.683Z",
      "content": "<p>Interesting, thank you!</p>",
      "rawMarkdown": "Interesting, thank you!"
    }
  ],
  "comments": [
    {
      "id": 1870190,
      "author_name": "bhatika",
      "author_url": "",
      "post_date": "2022-07-25T11:04:35.110000",
      "content": "<p>You can use as a data exploration tool to look through datasets, view evaluation statistics, explore data distributions and compare models<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F487856%2F6e030f01c082bcf876f7fe7e6d286eff%2Fmetalynx_functionality.png?generation=1658746982532022&amp;alt=media\" alt=\"Metalynx functionality\"></p>",
      "votes": 2,
      "replies": [
        {
          "id": 2125813,
          "author_name": "Olli Ng",
          "author_url": "",
          "post_date": "2023-02-01T23:10:53.707000",
          "content": "<blockquote>\n  <p>You can use as a data exploration tool to look through datasets, view evaluation statistics, explore data distributions and compare models<br>\n  <img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F487856%2F6e030f01c082bcf876f7fe7e6d286eff%2Fmetalynx_functionality.png?generation=1658746982532022&amp;alt=media\" alt=\"Metalynx functionality\"></p>\n</blockquote>\n<p>Great, It would be a great help for me!<br>\nThank you.</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 1867029,
      "author_name": "Ronaldo S.A. Batista",
      "author_url": "",
      "post_date": "2022-07-23T01:19:58.683000",
      "content": "<p>Interesting, thank you!</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1862258": "Hi all! For anyone interested in exploring image datasets and model performance, we are making our visualisation software free to participants for the duration of the challenge: https://meta-lynx.github.io/metascatterV2/ You can download it from there using the password curseofdimensionality *Note that it is not open source so should not be part of your solution*, but it may be interesting to visualise what you've done. Good luck everyone! ",
    "1870190": "You can use as a data exploration tool to look through datasets, view evaluation statistics, explore data distributions and compare models\n![Metalynx functionality](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F487856%2F6e030f01c082bcf876f7fe7e6d286eff%2Fmetalynx_functionality.png?generation=1658746982532022&alt=media)",
    "1867029": "Interesting, thank you!"
  }
}