{
  "id": 457356,
  "title": "How should i label logs?",
  "url": "/competitions/smartphone-decimeter-2023/discussion/457356",
  "author_name": "",
  "post_date": "2023-11-24T08:50:48.536610100Z",
  "votes": null,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hi everyone, I'd like to identify the different scenarios (open sky, urban, foliage…) present in this dataset and the one from last year's competition. I need them for training and i don't know how i should label them. Does anyone in the competition organization already know the scenarios?<br>\nThanks in advance.</p>",
  "messages": [
    {
      "id": "2536495",
      "postDate": "11/24/2023 08:50:48",
      "content": "<p>Hi everyone, I'd like to identify the different scenarios (open sky, urban, foliage…) present in this dataset and the one from last year's competition. I need them for training and i don't know how i should label them. Does anyone in the competition organization already know the scenarios?<br>\nThanks in advance.</p>",
      "rawMarkdown": "Hi everyone, I'd like to identify the different scenarios (open sky, urban, foliage...) present in this dataset and the one from last year's competition. I need them for training and i don't know how i should label them. Does anyone in the competition organization already know the scenarios?\nThanks in advance.",
      "votes": null
    },
    {
      "id": "2538984",
      "postDate": "11/26/2023 15:36:49",
      "content": "<p>use label encoding</p>",
      "rawMarkdown": "use label encoding",
      "votes": null
    },
    {
      "id": "2574133",
      "postDate": "12/25/2023 17:03:29",
      "content": "<p>You can use LabelEncoding for that. Which is present in sklearn.<br>\nfrom sklearn.preprocessing import LabelEncoder</p>",
      "rawMarkdown": "You can use LabelEncoding for that. Which is present in sklearn.\nfrom sklearn.preprocessing import LabelEncoder",
      "votes": null
    },
    {
      "id": "2606487",
      "postDate": "01/17/2024 17:14:18",
      "content": "<p>He/She mean that the environment type label for every trip and every time instant are unknown</p>",
      "rawMarkdown": "He/She mean that the environment type label for every trip and every time instant are unknown",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2538984,
      "author_name": "divyanshuchaubey",
      "author_url": "",
      "post_date": "11/26/2023 15:36:49",
      "content": "<p>use label encoding</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2574133,
      "author_name": "shivansh2503",
      "author_url": "",
      "post_date": "12/25/2023 17:03:29",
      "content": "<p>You can use LabelEncoding for that. Which is present in sklearn.<br>\nfrom sklearn.preprocessing import LabelEncoder</p>",
      "votes": null,
      "replies": [
        {
          "id": 2606487,
          "author_name": "shengliu2023",
          "author_url": "",
          "post_date": "01/17/2024 17:14:18",
          "content": "<p>He/She mean that the environment type label for every trip and every time instant are unknown</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2536495": "Hi everyone, I'd like to identify the different scenarios (open sky, urban, foliage...) present in this dataset and the one from last year's competition. I need them for training and i don't know how i should label them. Does anyone in the competition organization already know the scenarios?\nThanks in advance.",
    "2538984": "use label encoding",
    "2574133": "You can use LabelEncoding for that. Which is present in sklearn.\nfrom sklearn.preprocessing import LabelEncoder",
    "2606487": "He/She mean that the environment type label for every trip and every time instant are unknown"
  },
  "source": "meta"
}