{
  "id": 42314,
  "title": "Time Series - LB 0.558",
  "url": "/competitions/favorita-grocery-sales-forecasting/discussion/42314",
  "author_name": "",
  "post_date": "2017-10-29T17:59:20.098337300Z",
  "votes": 5,
  "comment_count": 2,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/tarobxl/time-series-lb-0-558?scriptVersionId=1676794\">https://www.kaggle.com/tarobxl/time-series-lb-0-558?scriptVersionId=1676794</a></p>\n\n<p>It is actually a small modification from <a href=\"https://www.kaggle.com/dongxu027/time-series-ets-starter-lb-0-590?scriptVersionId=1641026\">https://www.kaggle.com/dongxu027/time-series-ets-starter-lb-0-590?scriptVersionId=1641026</a></p>\n\n<p>And an average with this one \n<a href=\"https://www.kaggle.com/paulorzp/mean-log-with-pandas-only-lb-0-558\">https://www.kaggle.com/paulorzp/mean-log-with-pandas-only-lb-0-558</a>\nwill score 0.551</p>",
  "messages": [
    {
      "id": "237174",
      "postDate": "10/29/2017 17:59:20",
      "content": "<p><a href=\"https://www.kaggle.com/tarobxl/time-series-lb-0-558?scriptVersionId=1676794\">https://www.kaggle.com/tarobxl/time-series-lb-0-558?scriptVersionId=1676794</a></p>\n\n<p>It is actually a small modification from <a href=\"https://www.kaggle.com/dongxu027/time-series-ets-starter-lb-0-590?scriptVersionId=1641026\">https://www.kaggle.com/dongxu027/time-series-ets-starter-lb-0-590?scriptVersionId=1641026</a></p>\n\n<p>And an average with this one \n<a href=\"https://www.kaggle.com/paulorzp/mean-log-with-pandas-only-lb-0-558\">https://www.kaggle.com/paulorzp/mean-log-with-pandas-only-lb-0-558</a>\nwill score 0.551</p>",
      "rawMarkdown": "https://www.kaggle.com/tarobxl/time-series-lb-0-558?scriptVersionId=1676794\n\nIt is actually a small modification from https://www.kaggle.com/dongxu027/time-series-ets-starter-lb-0-590?scriptVersionId=1641026\n\nAnd an average with this one \nhttps://www.kaggle.com/paulorzp/mean-log-with-pandas-only-lb-0-558\nwill score 0.551",
      "votes": null
    },
    {
      "id": "237487",
      "postDate": "10/30/2017 12:32:12",
      "content": "<p>Thanks for quote!</p>",
      "rawMarkdown": "Thanks for quote!",
      "votes": null
    },
    {
      "id": "237848",
      "postDate": "10/31/2017 05:21:19",
      "content": "<p>Thanks for quote!</p>",
      "rawMarkdown": "Thanks for quote!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 237487,
      "author_name": "paulorzp",
      "author_url": "",
      "post_date": "10/30/2017 12:32:12",
      "content": "<p>Thanks for quote!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 237848,
      "author_name": "dongxu027",
      "author_url": "",
      "post_date": "10/31/2017 05:21:19",
      "content": "<p>Thanks for quote!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "237174": "https://www.kaggle.com/tarobxl/time-series-lb-0-558?scriptVersionId=1676794\n\nIt is actually a small modification from https://www.kaggle.com/dongxu027/time-series-ets-starter-lb-0-590?scriptVersionId=1641026\n\nAnd an average with this one \nhttps://www.kaggle.com/paulorzp/mean-log-with-pandas-only-lb-0-558\nwill score 0.551",
    "237487": "Thanks for quote!",
    "237848": "Thanks for quote!"
  },
  "source": "meta"
}