{
  "id": 198814,
  "title": "Help!! i can only get four batches when predict",
  "url": "/competitions/riiid-test-answer-prediction/discussion/198814",
  "author_name": "",
  "post_date": "2020-11-23T05:52:34.205917200Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>code as bellow <br>\nfor (test_df, sample_prediction_df) in iter_test:<br>\n    test_df['answered_correctly'] = 0.5<br>\n    print（test_df.shape）<br>\n    env.predict(test_df.loc[test_df['content_type_id'] == 0, ['row_id', 'answered_correctly']])</p>\n<p>i just run an example code provided by official ,</p>",
  "messages": [
    {
      "id": "1087869",
      "postDate": "11/23/2020 05:52:34",
      "content": "<p>code as bellow <br>\nfor (test_df, sample_prediction_df) in iter_test:<br>\n    test_df['answered_correctly'] = 0.5<br>\n    print（test_df.shape）<br>\n    env.predict(test_df.loc[test_df['content_type_id'] == 0, ['row_id', 'answered_correctly']])</p>\n<p>i just run an example code provided by official ,</p>",
      "rawMarkdown": "code as bellow \nfor (test_df, sample_prediction_df) in iter_test:\n    test_df['answered_correctly'] = 0.5\n    print（test_df.shape）\n    env.predict(test_df.loc[test_df['content_type_id'] == 0, ['row_id', 'answered_correctly']])\n\ni just run an example code provided by official ,",
      "votes": null
    },
    {
      "id": "1087878",
      "postDate": "11/23/2020 06:10:40",
      "content": "<p>the sample test datasets only have 4 batches, the rest will be used when you sumbit</p>",
      "rawMarkdown": "the sample test datasets only have 4 batches, the rest will be used when you sumbit",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1087878,
      "author_name": "yangxiaoshuai",
      "author_url": "",
      "post_date": "11/23/2020 06:10:40",
      "content": "<p>the sample test datasets only have 4 batches, the rest will be used when you sumbit</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1087869": "code as bellow \nfor (test_df, sample_prediction_df) in iter_test:\n    test_df['answered_correctly'] = 0.5\n    print（test_df.shape）\n    env.predict(test_df.loc[test_df['content_type_id'] == 0, ['row_id', 'answered_correctly']])\n\ni just run an example code provided by official ,",
    "1087878": "the sample test datasets only have 4 batches, the rest will be used when you sumbit"
  },
  "source": "meta"
}