{
  "id": 115078,
  "title": "Model upload requirements",
  "url": "/competitions/rsna-intracranial-hemorrhage-detection/discussion/115078",
  "author_name": "vinaydatta",
  "post_date": "2019-10-31T05:02:47.236000",
  "votes": 3,
  "comment_count": 3,
  "views": 0,
  "content": "<p>This is my first submission to a live Kaggle competition, I am trying to understand model upload requirements. I'm assuming we should upload the following list\n1. source code (jupyter notebook or script)\n2. model weights used for predicting the stage 1 images\n3. Any additional pretrained model files, eg. InceptionV3 imagenet etc.</p>\n\n<p>Zip all the files and submit them. Please correct me if i am missing anything. Thanks  </p>",
  "messages": [
    {
      "id": 662110,
      "postDate": "2019-10-31T05:02:47.237Z",
      "content": "<p>This is my first submission to a live Kaggle competition, I am trying to understand model upload requirements. I'm assuming we should upload the following list\n1. source code (jupyter notebook or script)\n2. model weights used for predicting the stage 1 images\n3. Any additional pretrained model files, eg. InceptionV3 imagenet etc.</p>\n\n<p>Zip all the files and submit them. Please correct me if i am missing anything. Thanks  </p>",
      "rawMarkdown": "This is my first submission to a live Kaggle competition, I am trying to understand model upload requirements. I'm assuming we should upload the following list\n1. source code (jupyter notebook or script)\n2. model weights used for predicting the stage 1 images\n3. Any additional pretrained model files, eg. InceptionV3 imagenet etc.\n\nZip all the files and submit them. Please correct me if i am missing anything. Thanks  ",
      "votes": 3
    },
    {
      "id": 663495,
      "postDate": "2019-11-02T07:17:24.230Z",
      "content": "<p>the ipython submitted should can be run on kaggle kernel? the local  path is not ok?</p>",
      "rawMarkdown": "  the ipython submitted should can be run on kaggle kernel? the local  path is not ok?",
      "votes": 1,
      "replies": [
        {
          "id": 665210,
          "postDate": "2019-11-04T18:34:56.383Z",
          "content": "<p>From the other forums, the main thing is that you submit the code that is used to generate your submission.csv file. If you had run it locally then it is fine, I don't think it is a requirement for it to be run on a kaggle kernel. Good luck!</p>",
          "rawMarkdown": "From the other forums, the main thing is that you submit the code that is used to generate your submission.csv file. If you had run it locally then it is fine, I don't think it is a requirement for it to be run on a kaggle kernel. Good luck!"
        }
      ]
    },
    {
      "id": 662112,
      "postDate": "2019-10-31T05:04:37.960Z",
      "content": "<p>Also how do we evaluate stage 2 images, via kaggle kernel or we can download data, run predictions and then submit a file? </p>",
      "rawMarkdown": "Also how do we evaluate stage 2 images, via kaggle kernel or we can download data, run predictions and then submit a file? "
    }
  ],
  "comments": [
    {
      "id": 663495,
      "author_name": "yhfu",
      "author_url": "",
      "post_date": "2019-11-02T07:17:24.230000",
      "content": "<p>the ipython submitted should can be run on kaggle kernel? the local  path is not ok?</p>",
      "votes": 1,
      "replies": [
        {
          "id": 665210,
          "author_name": "David Tang",
          "author_url": "",
          "post_date": "2019-11-04T18:34:56.383000",
          "content": "<p>From the other forums, the main thing is that you submit the code that is used to generate your submission.csv file. If you had run it locally then it is fine, I don't think it is a requirement for it to be run on a kaggle kernel. Good luck!</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 662112,
      "author_name": "vinaydatta",
      "author_url": "",
      "post_date": "2019-10-31T05:04:37.960000",
      "content": "<p>Also how do we evaluate stage 2 images, via kaggle kernel or we can download data, run predictions and then submit a file? </p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "662110": "This is my first submission to a live Kaggle competition, I am trying to understand model upload requirements. I'm assuming we should upload the following list\n1. source code (jupyter notebook or script)\n2. model weights used for predicting the stage 1 images\n3. Any additional pretrained model files, eg. InceptionV3 imagenet etc.\n\nZip all the files and submit them. Please correct me if i am missing anything. Thanks  ",
    "663495": "  the ipython submitted should can be run on kaggle kernel? the local  path is not ok?",
    "662112": "Also how do we evaluate stage 2 images, via kaggle kernel or we can download data, run predictions and then submit a file? "
  }
}