{
  "id": 5014,
  "title": "Has anyone managed to use the files in Octave?",
  "url": "/competitions/belkin-energy-disaggregation-competition/discussion/5014",
  "author_name": "",
  "post_date": "2013-07-04T11:49:27.710Z",
  "votes": null,
  "comment_count": 3,
  "views": 1889,
  "content": "<p>I've tried loading the .mat files into octave (on windows), but I'm getting a memory error - but there's plenty of RAM.</p>\r\n<p>It seems that the trouble is with Octave being 32 bit which limits the table size.&nbsp;</p>\r\n<p>Has anyone done this? Are there any 64 bit versions of octave for windows? Or will I just have to use something else?</p>\r\n<p>Thanks</p>",
  "messages": [
    {
      "id": "26668",
      "postDate": "07/04/2013 11:49:27",
      "content": "<p>I've tried loading the .mat files into octave (on windows), but I'm getting a memory error - but there's plenty of RAM.</p>\r\n<p>It seems that the trouble is with Octave being 32 bit which limits the table size.&nbsp;</p>\r\n<p>Has anyone done this? Are there any 64 bit versions of octave for windows? Or will I just have to use something else?</p>\r\n<p>Thanks</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "26686",
      "postDate": "07/04/2013 21:10:15",
      "content": "<p>32-bit is likely the source of your problem. Octave on Windows is a bit flaky, I recommend trying it on a 64-bit *nix machine. I have personally not ported this to Octave so cannot help much. The best alternative is to use Python with SciPy/Nympy. I had\r\n posted sample code that reads and plots the data with no problems. Will posted link to the code in the forum.</p>\r\n<p>I have also attempted to load data using R (64-bit) and R.matlab package and that works fine as well. I used the readMat() function to load a file. It is a bit slow. especially compared to Matlab and Python, but it loads OK.</p>\r\n<p>Sidhant</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "26706",
      "postDate": "07/05/2013 09:42:33",
      "content": "<p>Thanks Sidhant, I tried python and it's much easier/faster.</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "26805",
      "postDate": "07/08/2013 18:02:04",
      "content": "<p>Glad it worked out!</p>",
      "rawMarkdown": "",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 26686,
      "author_name": "sidhantgupta",
      "author_url": "",
      "post_date": "07/04/2013 21:10:15",
      "content": "<p>32-bit is likely the source of your problem. Octave on Windows is a bit flaky, I recommend trying it on a 64-bit *nix machine. I have personally not ported this to Octave so cannot help much. The best alternative is to use Python with SciPy/Nympy. I had\r\n posted sample code that reads and plots the data with no problems. Will posted link to the code in the forum.</p>\r\n<p>I have also attempted to load data using R (64-bit) and R.matlab package and that works fine as well. I used the readMat() function to load a file. It is a bit slow. especially compared to Matlab and Python, but it loads OK.</p>\r\n<p>Sidhant</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 26706,
      "author_name": "gerharte",
      "author_url": "",
      "post_date": "07/05/2013 09:42:33",
      "content": "<p>Thanks Sidhant, I tried python and it's much easier/faster.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 26805,
      "author_name": "sidhantgupta",
      "author_url": "",
      "post_date": "07/08/2013 18:02:04",
      "content": "<p>Glad it worked out!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "26668": "",
    "26686": "",
    "26706": "",
    "26805": ""
  },
  "source": "meta"
}