{
  "id": 94535,
  "title": "Quick testing of a Feature",
  "url": "/competitions/champs-scalar-coupling/discussion/94535",
  "author_name": "Manoj",
  "post_date": "2019-06-05T04:16:24.372000",
  "votes": 3,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Computation time is a quite challenge in this one at least that's what I am facing.\nAs mentioned by  Max building multiple model for different type <a href=\"https://www.kaggle.com/c/champs-scalar-coupling/discussion/94237#latest-543955\">link here.</a> \nI have observed if a feature is working in one type then it will work across all type. \nType \"1JHN\"  training set is very small. you can test your feature hypothesis quickly</p>",
  "messages": [
    {
      "id": 544048,
      "postDate": "2019-06-05T04:16:24.373Z",
      "content": "<p>Computation time is a quite challenge in this one at least that's what I am facing.\nAs mentioned by  Max building multiple model for different type <a href=\"https://www.kaggle.com/c/champs-scalar-coupling/discussion/94237#latest-543955\">link here.</a> \nI have observed if a feature is working in one type then it will work across all type. \nType \"1JHN\"  training set is very small. you can test your feature hypothesis quickly</p>",
      "rawMarkdown": "Computation time is a quite challenge in this one at least that's what I am facing.\nAs mentioned by  Max building multiple model for different type [link here.](https://www.kaggle.com/c/champs-scalar-coupling/discussion/94237#latest-543955) \nI have observed if a feature is working in one type then it will work across all type. \nType \"1JHN\"  training set is very small. you can test your feature hypothesis quickly",
      "votes": 3
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "544048": "Computation time is a quite challenge in this one at least that's what I am facing.\nAs mentioned by  Max building multiple model for different type [link here.](https://www.kaggle.com/c/champs-scalar-coupling/discussion/94237#latest-543955) \nI have observed if a feature is working in one type then it will work across all type. \nType \"1JHN\"  training set is very small. you can test your feature hypothesis quickly"
  }
}