{
  "id": 446021,
  "title": "New Feature - mean_rows",
  "url": "/competitions/open-problems-single-cell-perturbations/discussion/446021",
  "author_name": "Willian Pina",
  "post_date": "2023-10-10T00:48:58.215000",
  "votes": 2,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hello my friends, I would like to share that the line average helped in modeling.</p>\n<p>And I'm still testing whether the one hot encoding functionality really helps. The problem is that I'm out of time.🤣</p>\n<p><strong># Calculating mean_rows</strong><br>\ndata_label_encod['mean_rows'] = data_label_encod.drop(columns=['cell_type', 'sm_name']).mean(axis=1)</p>",
  "messages": [
    {
      "id": 2475495,
      "postDate": "2023-10-10T00:48:58.217Z",
      "content": "<p>Hello my friends, I would like to share that the line average helped in modeling.</p>\n<p>And I'm still testing whether the one hot encoding functionality really helps. The problem is that I'm out of time.🤣</p>\n<p><strong># Calculating mean_rows</strong><br>\ndata_label_encod['mean_rows'] = data_label_encod.drop(columns=['cell_type', 'sm_name']).mean(axis=1)</p>",
      "rawMarkdown": "Hello my friends, I would like to share that the line average helped in modeling.\n\nAnd I'm still testing whether the one hot encoding functionality really helps. The problem is that I'm out of time.🤣\n\n\n**# Calculating mean_rows**\ndata_label_encod['mean_rows'] = data_label_encod.drop(columns=['cell_type', 'sm_name']).mean(axis=1)",
      "votes": 2
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2475495": "Hello my friends, I would like to share that the line average helped in modeling.\n\nAnd I'm still testing whether the one hot encoding functionality really helps. The problem is that I'm out of time.🤣\n\n\n**# Calculating mean_rows**\ndata_label_encod['mean_rows'] = data_label_encod.drop(columns=['cell_type', 'sm_name']).mean(axis=1)"
  }
}