{
  "id": 346894,
  "title": "Open sourcing my KNN approach",
  "url": "/competitions/open-problems-multimodal/discussion/346894",
  "author_name": "",
  "post_date": "2022-08-21T22:13:32.862066300Z",
  "votes": 6,
  "comment_count": 3,
  "views": 0,
  "content": "<p>You can find my KNN approach here: <a href=\"https://github.com/adavoudi/msci_knn\" target=\"_blank\">https://github.com/adavoudi/msci_knn</a></p>\n<p>I use <a href=\"https://github.com/beringresearch/ivis\" target=\"_blank\">IVIS</a> for dimensionality reduction and then KNN for prediction. </p>",
  "messages": [
    {
      "id": "1908680",
      "postDate": "08/21/2022 22:13:32",
      "content": "<p>You can find my KNN approach here: <a href=\"https://github.com/adavoudi/msci_knn\" target=\"_blank\">https://github.com/adavoudi/msci_knn</a></p>\n<p>I use <a href=\"https://github.com/beringresearch/ivis\" target=\"_blank\">IVIS</a> for dimensionality reduction and then KNN for prediction. </p>",
      "rawMarkdown": "You can find my KNN approach here: https://github.com/adavoudi/msci_knn\n\nI use [IVIS](https://github.com/beringresearch/ivis) for dimensionality reduction and then KNN for prediction.",
      "votes": null
    },
    {
      "id": "1909646",
      "postDate": "08/22/2022 19:41:12",
      "content": "<p>Vielen dank for sharing your KNN on GitHub.</p>",
      "rawMarkdown": "Vielen dank for sharing your KNN on GitHub.",
      "votes": null
    },
    {
      "id": "1909736",
      "postDate": "08/22/2022 21:45:47",
      "content": "<p>gern geschehen</p>",
      "rawMarkdown": "gern geschehen",
      "votes": null
    },
    {
      "id": "1909967",
      "postDate": "08/23/2022 05:05:07",
      "content": "<p>Starred your github repo… nicely done <a href=\"https://www.kaggle.com/alireza9\" target=\"_blank\">@alireza9</a> </p>",
      "rawMarkdown": "Starred your github repo... nicely done @alireza9",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1909646,
      "author_name": "mpwolke",
      "author_url": "",
      "post_date": "08/22/2022 19:41:12",
      "content": "<p>Vielen dank for sharing your KNN on GitHub.</p>",
      "votes": null,
      "replies": [
        {
          "id": 1909736,
          "author_name": "alireza9",
          "author_url": "",
          "post_date": "08/22/2022 21:45:47",
          "content": "<p>gern geschehen</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1909967,
      "author_name": "ranja7",
      "author_url": "",
      "post_date": "08/23/2022 05:05:07",
      "content": "<p>Starred your github repo… nicely done <a href=\"https://www.kaggle.com/alireza9\" target=\"_blank\">@alireza9</a> </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1908680": "You can find my KNN approach here: https://github.com/adavoudi/msci_knn\n\nI use [IVIS](https://github.com/beringresearch/ivis) for dimensionality reduction and then KNN for prediction.",
    "1909646": "Vielen dank for sharing your KNN on GitHub.",
    "1909736": "gern geschehen",
    "1909967": "Starred your github repo... nicely done @alireza9"
  },
  "source": "meta"
}