{
  "id": 898,
  "title": "open source code that supports svm-light format data",
  "url": "/competitions/SemiSupervisedFeatureLearning/discussion/898",
  "author_name": "",
  "post_date": "2011-09-29T00:30:53.770Z",
  "votes": null,
  "comment_count": 1,
  "views": 3350,
  "content": "<p>For those who are interested, there's a great list of open-source projects that support svm-light format data, available here:</p>\r\n<p>http://mloss.org/software/dataformat/svmlight/</p>\r\n<p>&nbsp;</p>",
  "messages": [
    {
      "id": "5727",
      "postDate": "09/29/2011 00:30:53",
      "content": "<p>For those who are interested, there's a great list of open-source projects that support svm-light format data, available here:</p>\r\n<p>http://mloss.org/software/dataformat/svmlight/</p>\r\n<p>&nbsp;</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "5734",
      "postDate": "09/29/2011 13:57:12",
      "content": "<p>I can highly recommend <a title=\"scikit-learn\" href=\"http://scikit-learn.sourceforge.net/stable/\">\r\nscikit-learn</a>, a machine learning toolbox written in Python; it features libsvm/-linear bindings as well as some techniques which should scale to the problem size e.g. MiniBatchKMeans (a similar algorithm was probably used for the baseline) &nbsp;and SGDClassifier.&nbsp;</p>\r\n<p>An efficient svm-light format data reader can be found <a href=\"https://github.com/mblondel/svmlight-loader\">\r\nhere</a>&nbsp;.</p>",
      "rawMarkdown": "",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 5734,
      "author_name": "pprett",
      "author_url": "",
      "post_date": "09/29/2011 13:57:12",
      "content": "<p>I can highly recommend <a title=\"scikit-learn\" href=\"http://scikit-learn.sourceforge.net/stable/\">\r\nscikit-learn</a>, a machine learning toolbox written in Python; it features libsvm/-linear bindings as well as some techniques which should scale to the problem size e.g. MiniBatchKMeans (a similar algorithm was probably used for the baseline) &nbsp;and SGDClassifier.&nbsp;</p>\r\n<p>An efficient svm-light format data reader can be found <a href=\"https://github.com/mblondel/svmlight-loader\">\r\nhere</a>&nbsp;.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "5727": "",
    "5734": ""
  },
  "source": "meta"
}