{
  "id": 309857,
  "title": "How to use Meta Data if the same is not available for test data?",
  "url": "/competitions/birdclef-2022/discussion/309857",
  "author_name": "Bibhabasu Mohapatra",
  "post_date": "2022-02-26T03:11:53.079000",
  "votes": 3,
  "comment_count": 3,
  "views": 0,
  "content": "<p>How to use Meta Data if the same is not available for test data?<br>\nLike if there is train data set with train meta data then yes I could use that meta data to train model but then how will I use that model for inferencing test data given that there is no meta data for test data.</p>",
  "messages": [
    {
      "id": 1704981,
      "postDate": "2022-02-26T03:11:53.080Z",
      "content": "<p>How to use Meta Data if the same is not available for test data?<br>\nLike if there is train data set with train meta data then yes I could use that meta data to train model but then how will I use that model for inferencing test data given that there is no meta data for test data.</p>",
      "rawMarkdown": "How to use Meta Data if the same is not available for test data?\nLike if there is train data set with train meta data then yes I could use that meta data to train model but then how will I use that model for inferencing test data given that there is no meta data for test data.",
      "votes": 3
    },
    {
      "id": 1705030,
      "postDate": "2022-02-26T04:43:43.960Z",
      "content": "<p>Hello <a href=\"https://www.kaggle.com/bibhabasumohapatra\" target=\"_blank\">@bibhabasumohapatra</a> you can aggregate by a field that's common between both datasets or map the information from a common field.</p>",
      "rawMarkdown": "Hello @bibhabasumohapatra you can aggregate by a field that's common between both datasets or map the information from a common field.",
      "votes": 1,
      "replies": [
        {
          "id": 1705267,
          "postDate": "2022-02-26T10:11:44.587Z",
          "content": "<p>thanks . . . but can you explain with small example?</p>",
          "rawMarkdown": "thanks . . . but can you explain with small example?"
        }
      ]
    },
    {
      "id": 1705024,
      "postDate": "2022-02-26T04:27:33.350Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 1705030,
      "author_name": "C4rl05/V",
      "author_url": "",
      "post_date": "2022-02-26T04:43:43.960000",
      "content": "<p>Hello <a href=\"https://www.kaggle.com/bibhabasumohapatra\" target=\"_blank\">@bibhabasumohapatra</a> you can aggregate by a field that's common between both datasets or map the information from a common field.</p>",
      "votes": 1,
      "replies": [
        {
          "id": 1705267,
          "author_name": "Bibhabasu Mohapatra",
          "author_url": "",
          "post_date": "2022-02-26T10:11:44.587000",
          "content": "<p>thanks . . . but can you explain with small example?</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 1705024,
      "author_name": "",
      "author_url": "",
      "post_date": "2022-02-26T04:27:33.350000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1704981": "How to use Meta Data if the same is not available for test data?\nLike if there is train data set with train meta data then yes I could use that meta data to train model but then how will I use that model for inferencing test data given that there is no meta data for test data.",
    "1705030": "Hello @bibhabasumohapatra you can aggregate by a field that's common between both datasets or map the information from a common field.",
    "1705024": ""
  }
}