{
  "id": 113199,
  "title": "Reduce memory Function",
  "url": "/competitions/ashrae-energy-prediction/discussion/113199",
  "author_name": "",
  "post_date": "2019-10-17T16:48:29.957445100Z",
  "votes": null,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Why we are using the reduce memory function?</p>",
  "messages": [
    {
      "id": "651604",
      "postDate": "10/17/2019 16:48:29",
      "content": "<p>Why we are using the reduce memory function?</p>",
      "rawMarkdown": "Why we are using the reduce memory function?",
      "votes": null
    },
    {
      "id": "651762",
      "postDate": "10/17/2019 22:45:09",
      "content": "<p>If you work in a kernel, and do not use this function, then most likely your kernel will fall from a lack of resources.\nSome features take up more memory space than they should, and since there is too much data, this is critical</p>",
      "rawMarkdown": "If you work in a kernel, and do not use this function, then most likely your kernel will fall from a lack of resources.\nSome features take up more memory space than they should, and since there is too much data, this is critical",
      "votes": null
    },
    {
      "id": "651842",
      "postDate": "10/18/2019 02:23:06",
      "content": "<p>thnx a lot . </p>",
      "rawMarkdown": "thnx a lot .",
      "votes": null
    },
    {
      "id": "651919",
      "postDate": "10/18/2019 04:56:47",
      "content": "<p>We should always use reduce memory when tackling large amount of data in kaggle or others?</p>",
      "rawMarkdown": "We should always use reduce memory when tackling large amount of data in kaggle or others?",
      "votes": null
    },
    {
      "id": "652374",
      "postDate": "10/18/2019 18:59:37",
      "content": "<p>I think yes. Bringing the data to the desired (smallest) type saves our resources and the running time of the algorithm</p>",
      "rawMarkdown": "I think yes. Bringing the data to the desired (smallest) type saves our resources and the running time of the algorithm",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 651762,
      "author_name": "ihelon",
      "author_url": "",
      "post_date": "10/17/2019 22:45:09",
      "content": "<p>If you work in a kernel, and do not use this function, then most likely your kernel will fall from a lack of resources.\nSome features take up more memory space than they should, and since there is too much data, this is critical</p>",
      "votes": null,
      "replies": [
        {
          "id": 651842,
          "author_name": "anuraglahon",
          "author_url": "",
          "post_date": "10/18/2019 02:23:06",
          "content": "<p>thnx a lot . </p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 651919,
          "author_name": "anuraglahon",
          "author_url": "",
          "post_date": "10/18/2019 04:56:47",
          "content": "<p>We should always use reduce memory when tackling large amount of data in kaggle or others?</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 652374,
          "author_name": "ihelon",
          "author_url": "",
          "post_date": "10/18/2019 18:59:37",
          "content": "<p>I think yes. Bringing the data to the desired (smallest) type saves our resources and the running time of the algorithm</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "651604": "Why we are using the reduce memory function?",
    "651762": "If you work in a kernel, and do not use this function, then most likely your kernel will fall from a lack of resources.\nSome features take up more memory space than they should, and since there is too much data, this is critical",
    "651842": "thnx a lot .",
    "651919": "We should always use reduce memory when tackling large amount of data in kaggle or others?",
    "652374": "I think yes. Bringing the data to the desired (smallest) type saves our resources and the running time of the algorithm"
  },
  "source": "meta"
}