{
  "id": 206865,
  "title": "Receipt of the notebook on Cassava.",
  "url": "/competitions/cassava-leaf-disease-classification/discussion/206865",
  "author_name": "",
  "post_date": "2020-12-26T23:57:16.245652800Z",
  "votes": 2,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I am new to competitions on the Kaggle platform. I do a PhD in Computer Science. This notebook is part of my evaluation. I sent my submission on the Classification of Cassava Leaf Disease several days ago. The following message appears:<br>\n\"In this competition, we will privatelly re-run your selected Notebook Version with a hidden test set substituted into the competition dataset. We then extract your chosen Output File from the re-run and use that to determine your score\".<br>\nAs we are in the festive seasons of Christmas and New Year, will my notebook be scored in the next year 2021? or did I do something wrong when shipping my notebook?<br>\nI am waiting for an answer or suggestion.<br>\nI thank you for your attention</p>",
  "messages": [
    {
      "id": "1127849",
      "postDate": "12/26/2020 23:57:16",
      "content": "<p>I am new to competitions on the Kaggle platform. I do a PhD in Computer Science. This notebook is part of my evaluation. I sent my submission on the Classification of Cassava Leaf Disease several days ago. The following message appears:<br>\n\"In this competition, we will privatelly re-run your selected Notebook Version with a hidden test set substituted into the competition dataset. We then extract your chosen Output File from the re-run and use that to determine your score\".<br>\nAs we are in the festive seasons of Christmas and New Year, will my notebook be scored in the next year 2021? or did I do something wrong when shipping my notebook?<br>\nI am waiting for an answer or suggestion.<br>\nI thank you for your attention</p>",
      "rawMarkdown": "I am new to competitions on the Kaggle platform. I do a PhD in Computer Science. This notebook is part of my evaluation. I sent my submission on the Classification of Cassava Leaf Disease several days ago. The following message appears:\n\"In this competition, we will privatelly re-run your selected Notebook Version with a hidden test set substituted into the competition dataset. We then extract your chosen Output File from the re-run and use that to determine your score\".\nAs we are in the festive seasons of Christmas and New Year, will my notebook be scored in the next year 2021? or did I do something wrong when shipping my notebook?\nI am waiting for an answer or suggestion.\nI thank you for your attention",
      "votes": null
    },
    {
      "id": "1127892",
      "postDate": "12/27/2020 02:01:08",
      "content": "<p>If you look under My Submissions you will see the result of your notebook. When you commit your notebook it immediately starts running and will finish or time out within 9 hours maximum running time. </p>",
      "rawMarkdown": "If you look under My Submissions you will see the result of your notebook. When you commit your notebook it immediately starts running and will finish or time out within 9 hours maximum running time.",
      "votes": null
    },
    {
      "id": "1129580",
      "postDate": "12/28/2020 13:01:39",
      "content": "<p>I have already entered my submissions several times. Appears with 0 (zero) submissions sent. I tried to send a new submission, but it is stuck in the last submission I sent. Awkward situation.</p>",
      "rawMarkdown": "I have already entered my submissions several times. Appears with 0 (zero) submissions sent. I tried to send a new submission, but it is stuck in the last submission I sent. Awkward situation.",
      "votes": null
    },
    {
      "id": "1130157",
      "postDate": "12/28/2020 19:18:30",
      "content": "<p>You can use <a href=\"https://www.kaggle.com/dunklerwald/pytorch-efficientnet-with-tta-inference\" target=\"_blank\">my notebook</a> as an example. So your kernel should run inference and generate your prediction in a similar fashion. As soon as your kernel is completed, you go down to Output section and click Submit. Next step: go to My submissions. You should see your submission status as 'in progress'. Depending on your model, it can take some time (e.g. my inference submission takes approximately 1h).<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F1952979%2F2983ce6a2c10a4565ac5c1f07be5e04c%2FSubmit.png?generation=1609182862914381&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "You can use [my notebook](https://www.kaggle.com/dunklerwald/pytorch-efficientnet-with-tta-inference) as an example. So your kernel should run inference and generate your prediction in a similar fashion. As soon as your kernel is completed, you go down to Output section and click Submit. Next step: go to My submissions. You should see your submission status as 'in progress'. Depending on your model, it can take some time (e.g. my inference submission takes approximately 1h).\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F1952979%2F2983ce6a2c10a4565ac5c1f07be5e04c%2FSubmit.png?generation=1609182862914381&alt=media)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1127892,
      "author_name": "richardepstein",
      "author_url": "",
      "post_date": "12/27/2020 02:01:08",
      "content": "<p>If you look under My Submissions you will see the result of your notebook. When you commit your notebook it immediately starts running and will finish or time out within 9 hours maximum running time. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1129580,
      "author_name": "rolandorubenchavez",
      "author_url": "",
      "post_date": "12/28/2020 13:01:39",
      "content": "<p>I have already entered my submissions several times. Appears with 0 (zero) submissions sent. I tried to send a new submission, but it is stuck in the last submission I sent. Awkward situation.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1130157,
      "author_name": "dunklerwald",
      "author_url": "",
      "post_date": "12/28/2020 19:18:30",
      "content": "<p>You can use <a href=\"https://www.kaggle.com/dunklerwald/pytorch-efficientnet-with-tta-inference\" target=\"_blank\">my notebook</a> as an example. So your kernel should run inference and generate your prediction in a similar fashion. As soon as your kernel is completed, you go down to Output section and click Submit. Next step: go to My submissions. You should see your submission status as 'in progress'. Depending on your model, it can take some time (e.g. my inference submission takes approximately 1h).<br>\n<img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F1952979%2F2983ce6a2c10a4565ac5c1f07be5e04c%2FSubmit.png?generation=1609182862914381&amp;alt=media\" alt=\"\"></p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1127849": "I am new to competitions on the Kaggle platform. I do a PhD in Computer Science. This notebook is part of my evaluation. I sent my submission on the Classification of Cassava Leaf Disease several days ago. The following message appears:\n\"In this competition, we will privatelly re-run your selected Notebook Version with a hidden test set substituted into the competition dataset. We then extract your chosen Output File from the re-run and use that to determine your score\".\nAs we are in the festive seasons of Christmas and New Year, will my notebook be scored in the next year 2021? or did I do something wrong when shipping my notebook?\nI am waiting for an answer or suggestion.\nI thank you for your attention",
    "1127892": "If you look under My Submissions you will see the result of your notebook. When you commit your notebook it immediately starts running and will finish or time out within 9 hours maximum running time.",
    "1129580": "I have already entered my submissions several times. Appears with 0 (zero) submissions sent. I tried to send a new submission, but it is stuck in the last submission I sent. Awkward situation.",
    "1130157": "You can use [my notebook](https://www.kaggle.com/dunklerwald/pytorch-efficientnet-with-tta-inference) as an example. So your kernel should run inference and generate your prediction in a similar fashion. As soon as your kernel is completed, you go down to Output section and click Submit. Next step: go to My submissions. You should see your submission status as 'in progress'. Depending on your model, it can take some time (e.g. my inference submission takes approximately 1h).\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F1952979%2F2983ce6a2c10a4565ac5c1f07be5e04c%2FSubmit.png?generation=1609182862914381&alt=media)"
  },
  "source": "meta"
}