{
  "id": 98480,
  "title": "I am getting 1139 categories for train from metadata",
  "url": "/competitions/recursion-cellular-image-classification/discussion/98480",
  "author_name": "",
  "post_date": "2019-07-04T03:53:34.226171Z",
  "votes": 1,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hello,\nI am using the co-lab notebook given by competition organisers.\n<a href=\"https://colab.research.google.com/github/recursionpharma/rxrx1-utils/blob/master/notebooks/visualization.ipynb\">visualization.ipynb</a></p>\n\n<p>I am  doing the following:\n<code>md = rio.combine_metadata()</code>\n<code>train = md[(md['dataset'] == 'train')]</code>\n<code>train['sirna'].nunique()</code></p>\n\n<p>I get 1139 as the answer, as supposed to 1108 as expected from another training notebook shared.</p>\n\n<p>Am I doing something wrong?</p>",
  "messages": [
    {
      "id": "567827",
      "postDate": "07/04/2019 03:53:34",
      "content": "<p>Hello,\nI am using the co-lab notebook given by competition organisers.\n<a href=\"https://colab.research.google.com/github/recursionpharma/rxrx1-utils/blob/master/notebooks/visualization.ipynb\">visualization.ipynb</a></p>\n\n<p>I am  doing the following:\n<code>md = rio.combine_metadata()</code>\n<code>train = md[(md['dataset'] == 'train')]</code>\n<code>train['sirna'].nunique()</code></p>\n\n<p>I get 1139 as the answer, as supposed to 1108 as expected from another training notebook shared.</p>\n\n<p>Am I doing something wrong?</p>",
      "rawMarkdown": "Hello,\nI am using the co-lab notebook given by competition organisers.\n[visualization.ipynb](https://colab.research.google.com/github/recursionpharma/rxrx1-utils/blob/master/notebooks/visualization.ipynb)\n\nI am  doing the following:\n`md = rio.combine_metadata()`\n`train = md[(md['dataset'] == 'train')]`\n`train['sirna'].nunique()`\n\nI get 1139 as the answer, as supposed to 1108 as expected from another training notebook shared.\n\nAm I doing something wrong?",
      "votes": null
    },
    {
      "id": "567830",
      "postDate": "07/04/2019 03:59:25",
      "content": "<p>I guess its 1108 + 30 positive control +  negative control = 1139</p>",
      "rawMarkdown": "I guess its 1108 + 30 positive control +  negative control = 1139",
      "votes": null
    },
    {
      "id": "569650",
      "postDate": "07/07/2019 05:19:45",
      "content": "<p>Thank you for the clarification.</p>",
      "rawMarkdown": "Thank you for the clarification.",
      "votes": null
    },
    {
      "id": "586826",
      "postDate": "07/29/2019 18:55:12",
      "content": "<p>So, we should just remove training data that corresponds to sirna indices (1108,1137) inclusive?</p>",
      "rawMarkdown": "So, we should just remove training data that corresponds to sirna indices (1108,1137) inclusive?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 567830,
      "author_name": "christofhenkel",
      "author_url": "",
      "post_date": "07/04/2019 03:59:25",
      "content": "<p>I guess its 1108 + 30 positive control +  negative control = 1139</p>",
      "votes": null,
      "replies": [
        {
          "id": 569650,
          "author_name": "spiraldesign",
          "author_url": "",
          "post_date": "07/07/2019 05:19:45",
          "content": "<p>Thank you for the clarification.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 586826,
      "author_name": "wilderfield",
      "author_url": "",
      "post_date": "07/29/2019 18:55:12",
      "content": "<p>So, we should just remove training data that corresponds to sirna indices (1108,1137) inclusive?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "567827": "Hello,\nI am using the co-lab notebook given by competition organisers.\n[visualization.ipynb](https://colab.research.google.com/github/recursionpharma/rxrx1-utils/blob/master/notebooks/visualization.ipynb)\n\nI am  doing the following:\n`md = rio.combine_metadata()`\n`train = md[(md['dataset'] == 'train')]`\n`train['sirna'].nunique()`\n\nI get 1139 as the answer, as supposed to 1108 as expected from another training notebook shared.\n\nAm I doing something wrong?",
    "567830": "I guess its 1108 + 30 positive control +  negative control = 1139",
    "569650": "Thank you for the clarification.",
    "586826": "So, we should just remove training data that corresponds to sirna indices (1108,1137) inclusive?"
  },
  "source": "meta"
}