{
  "id": 249789,
  "title": "How to handle NAs in playerBoxScores",
  "url": "/competitions/mlb-player-digital-engagement-forecasting/discussion/249789",
  "author_name": "",
  "post_date": "2021-06-29T21:04:43.670358100Z",
  "votes": 1,
  "comment_count": 1,
  "views": 0,
  "content": "<p>There are a lot of NAs in this dataset due to, for example, non-pitchers not having any stats for pitching. Are there resources on strategies for dealing with NAs in this context? </p>",
  "messages": [
    {
      "id": "1370041",
      "postDate": "06/29/2021 21:04:43",
      "content": "<p>There are a lot of NAs in this dataset due to, for example, non-pitchers not having any stats for pitching. Are there resources on strategies for dealing with NAs in this context? </p>",
      "rawMarkdown": "There are a lot of NAs in this dataset due to, for example, non-pitchers not having any stats for pitching. Are there resources on strategies for dealing with NAs in this context?",
      "votes": null
    },
    {
      "id": "1370057",
      "postDate": "06/29/2021 21:28:42",
      "content": "<p>Fill them with 0 and use a mask to let the model know which entry should ignore</p>",
      "rawMarkdown": "Fill them with 0 and use a mask to let the model know which entry should ignore",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1370057,
      "author_name": "enric1296",
      "author_url": "",
      "post_date": "06/29/2021 21:28:42",
      "content": "<p>Fill them with 0 and use a mask to let the model know which entry should ignore</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1370041": "There are a lot of NAs in this dataset due to, for example, non-pitchers not having any stats for pitching. Are there resources on strategies for dealing with NAs in this context?",
    "1370057": "Fill them with 0 and use a mask to let the model know which entry should ignore"
  },
  "source": "meta"
}