{
  "id": 266678,
  "title": "Training dataset",
  "url": "/competitions/g2net-gravitational-wave-detection/discussion/266678",
  "author_name": "",
  "post_date": "2021-08-20T00:55:01.632007400Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>hi i am new in the field and i don't know if i want to use normal machine learning models on the npy file<br>\nhow to load the dataset in the ml function <br>\nfor example with decision tree classifier:</p>\n<p>clf = DecisionTreeClassifier(max_depth=None, min_samples_split=2, random_state=0)<br>\ncross_val_score(clf, X, y, cv=5)</p>\n<p>what should be the input X  here </p>",
  "messages": [
    {
      "id": "1482230",
      "postDate": "08/20/2021 00:55:01",
      "content": "<p>hi i am new in the field and i don't know if i want to use normal machine learning models on the npy file<br>\nhow to load the dataset in the ml function <br>\nfor example with decision tree classifier:</p>\n<p>clf = DecisionTreeClassifier(max_depth=None, min_samples_split=2, random_state=0)<br>\ncross_val_score(clf, X, y, cv=5)</p>\n<p>what should be the input X  here </p>",
      "rawMarkdown": "hi i am new in the field and i don't know if i want to use normal machine learning models on the npy file\nhow to load the dataset in the ml function \nfor example with decision tree classifier:\n\nclf = DecisionTreeClassifier(max_depth=None, min_samples_split=2, random_state=0)\ncross_val_score(clf, X, y, cv=5)\n\nwhat should be the input X  here",
      "votes": null
    },
    {
      "id": "1561175",
      "postDate": "10/27/2021 12:14:42",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "rawMarkdown": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1561175,
      "author_name": "zerafachris",
      "author_url": "",
      "post_date": "10/27/2021 12:14:42",
      "content": "<p>Hey All,</p>\n<p>Thank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey <a href=\"https://forms.gle/QP9L16niPexozyhu5\" target=\"_blank\">https://forms.gle/QP9L16niPexozyhu5</a>.</p>\n<p>Thank you all,</p>\n<p>Regards,<br>\nChris</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1482230": "hi i am new in the field and i don't know if i want to use normal machine learning models on the npy file\nhow to load the dataset in the ml function \nfor example with decision tree classifier:\n\nclf = DecisionTreeClassifier(max_depth=None, min_samples_split=2, random_state=0)\ncross_val_score(clf, X, y, cv=5)\n\nwhat should be the input X  here",
    "1561175": "Hey All,\n\nThank you all for taking part in our competition. The participation has been overwhelmingly positive. We are currently conducting a survey to gauge the demographic and outreach achieved. Kindly spare 2min and fill in this survey https://forms.gle/QP9L16niPexozyhu5.\n\nThank you all,\n\nRegards,\nChris"
  },
  "source": "meta"
}