{
  "id": 119473,
  "title": "Fit a model to a big dataset",
  "url": "/competitions/ashrae-energy-prediction/discussion/119473",
  "author_name": "Victor",
  "post_date": "2019-11-28T21:13:10.025000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hello,</p>\n\n<p>I'd like to know to fit a model (Random Forest Regressor in my case) to a big dataset (I joined all ASHRAE datasets) with the Kaggle notebook (cause my computer is less powerful).</p>\n\n<p>So far, I just have reduce the memory usage of each feature (int8, float8, int16, etc.)</p>\n\n<p>Thank you,\nVictor</p>",
  "messages": [
    {
      "id": 683815,
      "postDate": "2019-11-28T21:13:10.027Z",
      "content": "<p>Hello,</p>\n\n<p>I'd like to know to fit a model (Random Forest Regressor in my case) to a big dataset (I joined all ASHRAE datasets) with the Kaggle notebook (cause my computer is less powerful).</p>\n\n<p>So far, I just have reduce the memory usage of each feature (int8, float8, int16, etc.)</p>\n\n<p>Thank you,\nVictor</p>",
      "rawMarkdown": "Hello,\n\nI'd like to know to fit a model (Random Forest Regressor in my case) to a big dataset (I joined all ASHRAE datasets) with the Kaggle notebook (cause my computer is less powerful).\n\nSo far, I just have reduce the memory usage of each feature (int8, float8, int16, etc.)\n\nThank you,\nVictor"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "683815": "Hello,\n\nI'd like to know to fit a model (Random Forest Regressor in my case) to a big dataset (I joined all ASHRAE datasets) with the Kaggle notebook (cause my computer is less powerful).\n\nSo far, I just have reduce the memory usage of each feature (int8, float8, int16, etc.)\n\nThank you,\nVictor"
  }
}