{
  "id": 2088,
  "title": "MAP@10 evaluation code",
  "url": "/competitions/FacebookRecruiting/discussion/2088",
  "author_name": "",
  "post_date": "2012-06-27T03:56:15.943Z",
  "votes": null,
  "comment_count": 1,
  "views": 3319,
  "content": "<p>Anybody have an efficient implementation of map@10 in R?</p>",
  "messages": [
    {
      "id": "11942",
      "postDate": "06/27/2012 03:56:15",
      "content": "<p>Anybody have an efficient implementation of map@10 in R?</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "11943",
      "postDate": "06/27/2012 07:00:03",
      "content": "<p>Ben Hamner of the Kaggle team started a repository at Github providing implementations of various supervised machine learning evaluation metrics for R, Python, Matlab etc.</p>\r\n<p>https://github.com/benhamner/Metrics</p>\r\n<p>You will find the code for Mean Average Precision at K there too.</p>",
      "rawMarkdown": "",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 11943,
      "author_name": "tafkas",
      "author_url": "",
      "post_date": "06/27/2012 07:00:03",
      "content": "<p>Ben Hamner of the Kaggle team started a repository at Github providing implementations of various supervised machine learning evaluation metrics for R, Python, Matlab etc.</p>\r\n<p>https://github.com/benhamner/Metrics</p>\r\n<p>You will find the code for Mean Average Precision at K there too.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "11942": "",
    "11943": ""
  },
  "source": "meta"
}