{
  "id": 585747,
  "title": "Shipping criteria",
  "url": "/competitions/dont-flatten-shrink-image-classification/discussion/585747",
  "author_name": "AMBROSIO",
  "post_date": "2025-06-22T19:07:26.545000",
  "votes": 2,
  "comment_count": 10,
  "views": 0,
  "content": "<p>The main goal of this competition is not accuracy per se, but rather to compare the performance of traditional linear layers with the ndlinear layer.</p>\n<p>My questions are:<br>\nHow will the organizers know which model architecture the candidates are using to create the predictions?</p>\n<p>When will this be requested?</p>\n<p>How important is the complexity of the model?</p>",
  "messages": [
    {
      "id": 3231050,
      "postDate": "2025-06-23T19:43:02.237Z",
      "content": "<p><a href=\"https://www.kaggle.com/diegoambrosiovieira\" target=\"_blank\">@diegoambrosiovieira</a> </p>\n<ol>\n<li><p>How will the organizers know which model architecture the candidates are using to create the predictions?<br>\nThe organizers can verify the architecture through the final code or notebook submission, which will clearly show whether ndlinear or traditional layers were used. If required, I’m fully prepared to submit a complete, well-documented implementation.</p></li>\n<li><p>When will this be requested?<br>\nThis is typically requested at the end of the competition during the final phase for top participants, along with the final model/code for verification and reproducibility.</p></li>\n<li><p>How important is the complexity of the model?<br>\nModel complexity is not the focus. The main goal is to evaluate the performance of ndlinear layers compared to traditional linear layers. A simpler model using ndlinear that performs competitively is more aligned with the spirit of this competition than a highly complex one.</p></li>\n</ol>",
      "rawMarkdown": "@diegoambrosiovieira \n\n1. How will the organizers know which model architecture the candidates are using to create the predictions?\nThe organizers can verify the architecture through the final code or notebook submission, which will clearly show whether ndlinear or traditional layers were used. If required, I’m fully prepared to submit a complete, well-documented implementation.\n\n2. When will this be requested?\nThis is typically requested at the end of the competition during the final phase for top participants, along with the final model/code for verification and reproducibility.\n\n3. How important is the complexity of the model?\nModel complexity is not the focus. The main goal is to evaluate the performance of ndlinear layers compared to traditional linear layers. A simpler model using ndlinear that performs competitively is more aligned with the spirit of this competition than a highly complex one.",
      "votes": 1,
      "replies": [
        {
          "id": 3231176,
          "postDate": "2025-06-24T03:29:21.100Z",
          "content": "<p>Hey man, I'm absolutely sure that you're very good and will be able to prove that your model is legitimate. My doubt was genuine and does not refer to any participant in the competition.</p>",
          "rawMarkdown": "Hey man, I'm absolutely sure that you're very good and will be able to prove that your model is legitimate. My doubt was genuine and does not refer to any participant in the competition."
        }
      ]
    },
    {
      "id": 3230316,
      "postDate": "2025-06-22T19:07:26.547Z",
      "content": "<p>The main goal of this competition is not accuracy per se, but rather to compare the performance of traditional linear layers with the ndlinear layer.</p>\n<p>My questions are:<br>\nHow will the organizers know which model architecture the candidates are using to create the predictions?</p>\n<p>When will this be requested?</p>\n<p>How important is the complexity of the model?</p>",
      "rawMarkdown": "The main goal of this competition is not accuracy per se, but rather to compare the performance of traditional linear layers with the ndlinear layer.\n\nMy questions are:\nHow will the organizers know which model architecture the candidates are using to create the predictions?\n\nWhen will this be requested?\n\nHow important is the complexity of the model?",
      "votes": 2
    },
    {
      "id": 3230326,
      "postDate": "2025-06-22T19:33:14.960Z",
      "content": "<p>how did you even figure out what to submit bro I gave up several weeks ago lmaooo</p>",
      "rawMarkdown": "how did you even figure out what to submit bro I gave up several weeks ago lmaooo\n",
      "replies": [
        {
          "id": 3230329,
          "postDate": "2025-06-22T19:41:51.800Z",
          "content": "<p>To submit, you must generate a csv file with your predictions on the test set. The csv must have the Id column and the label column. Label is the prediction for that particular image Id.</p>",
          "rawMarkdown": "To submit, you must generate a csv file with your predictions on the test set. The csv must have the Id column and the label column. Label is the prediction for that particular image Id.",
          "votes": 1,
          "replies": [
            {
              "id": 3230929,
              "postDate": "2025-06-23T15:56:44.990Z",
              "content": "<p>can you give the format like the first few lines of submission file, i cant seem to figure out the format at all</p>\n<p>this is the sample format i currently have<br>\nId,label<br>\n0,cat<br>\n1,ship<br>\n2,ship<br>\n3,airplane</p>",
              "rawMarkdown": "can you give the format like the first few lines of submission file, i cant seem to figure out the format at all\n\nthis is the sample format i currently have\nId,label\n0,cat\n1,ship\n2,ship\n3,airplane",
              "votes": 2
            },
            {
              "id": 3230937,
              "postDate": "2025-06-23T16:06:55.393Z",
              "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F16088172%2Fbe7a8fce9227a8aaca43f385f4f8e636%2FCaptura%20de%20tela%202025-06-23%20130515.png?generation=1750694792795249&amp;alt=media\" alt=\"\"></p>",
              "rawMarkdown": "![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F16088172%2Fbe7a8fce9227a8aaca43f385f4f8e636%2FCaptura%20de%20tela%202025-06-23%20130515.png?generation=1750694792795249&alt=media)",
              "votes": 2
            },
            {
              "id": 3231027,
              "postDate": "2025-06-23T19:02:37.463Z",
              "content": "<p>thank you soo much 🙏</p>",
              "rawMarkdown": "thank you soo much 🙏",
              "votes": 2
            },
            {
              "id": 3233516,
              "postDate": "2025-06-26T22:35:57.547Z",
              "content": "<p>Excellent <a href=\"https://www.kaggle.com/pardheev\" target=\"_blank\">@pardheev</a> you sent very well !!</p>",
              "rawMarkdown": "Excellent @pardheev you sent very well !!"
            },
            {
              "id": 3234078,
              "postDate": "2025-06-27T13:40:50.147Z",
              "content": "<p>thank you ☺️</p>",
              "rawMarkdown": "thank you ☺️"
            }
          ]
        }
      ]
    },
    {
      "id": 3230328,
      "postDate": "2025-06-22T19:41:00.273Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 3231050,
      "author_name": "Jihad Omed",
      "author_url": "",
      "post_date": "2025-06-23T19:43:02.237000",
      "content": "<p><a href=\"https://www.kaggle.com/diegoambrosiovieira\" target=\"_blank\">@diegoambrosiovieira</a> </p>\n<ol>\n<li><p>How will the organizers know which model architecture the candidates are using to create the predictions?<br>\nThe organizers can verify the architecture through the final code or notebook submission, which will clearly show whether ndlinear or traditional layers were used. If required, I’m fully prepared to submit a complete, well-documented implementation.</p></li>\n<li><p>When will this be requested?<br>\nThis is typically requested at the end of the competition during the final phase for top participants, along with the final model/code for verification and reproducibility.</p></li>\n<li><p>How important is the complexity of the model?<br>\nModel complexity is not the focus. The main goal is to evaluate the performance of ndlinear layers compared to traditional linear layers. A simpler model using ndlinear that performs competitively is more aligned with the spirit of this competition than a highly complex one.</p></li>\n</ol>",
      "votes": 1,
      "replies": [
        {
          "id": 3231176,
          "author_name": "AMBROSIO",
          "author_url": "",
          "post_date": "2025-06-24T03:29:21.100000",
          "content": "<p>Hey man, I'm absolutely sure that you're very good and will be able to prove that your model is legitimate. My doubt was genuine and does not refer to any participant in the competition.</p>",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 3230326,
      "author_name": "MichaelHiggins212",
      "author_url": "",
      "post_date": "2025-06-22T19:33:14.960000",
      "content": "<p>how did you even figure out what to submit bro I gave up several weeks ago lmaooo</p>",
      "votes": 0,
      "replies": [
        {
          "id": 3230329,
          "author_name": "AMBROSIO",
          "author_url": "",
          "post_date": "2025-06-22T19:41:51.800000",
          "content": "<p>To submit, you must generate a csv file with your predictions on the test set. The csv must have the Id column and the label column. Label is the prediction for that particular image Id.</p>",
          "votes": 1,
          "replies": [
            {
              "id": 3230929,
              "author_name": "Pardheev Krishna",
              "author_url": "",
              "post_date": "2025-06-23T15:56:44.990000",
              "content": "<p>can you give the format like the first few lines of submission file, i cant seem to figure out the format at all</p>\n<p>this is the sample format i currently have<br>\nId,label<br>\n0,cat<br>\n1,ship<br>\n2,ship<br>\n3,airplane</p>",
              "votes": 2,
              "replies": []
            },
            {
              "id": 3230937,
              "author_name": "AMBROSIO",
              "author_url": "",
              "post_date": "2025-06-23T16:06:55.393000",
              "content": "<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F16088172%2Fbe7a8fce9227a8aaca43f385f4f8e636%2FCaptura%20de%20tela%202025-06-23%20130515.png?generation=1750694792795249&amp;alt=media\" alt=\"\"></p>",
              "votes": 2,
              "replies": []
            },
            {
              "id": 3231027,
              "author_name": "Pardheev Krishna",
              "author_url": "",
              "post_date": "2025-06-23T19:02:37.463000",
              "content": "<p>thank you soo much 🙏</p>",
              "votes": 2,
              "replies": []
            },
            {
              "id": 3233516,
              "author_name": "AMBROSIO",
              "author_url": "",
              "post_date": "2025-06-26T22:35:57.547000",
              "content": "<p>Excellent <a href=\"https://www.kaggle.com/pardheev\" target=\"_blank\">@pardheev</a> you sent very well !!</p>",
              "votes": 0,
              "replies": []
            },
            {
              "id": 3234078,
              "author_name": "Pardheev Krishna",
              "author_url": "",
              "post_date": "2025-06-27T13:40:50.147000",
              "content": "<p>thank you ☺️</p>",
              "votes": 0,
              "replies": []
            }
          ]
        }
      ]
    },
    {
      "id": 3230328,
      "author_name": "",
      "author_url": "",
      "post_date": "2025-06-22T19:41:00.273000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3231050": "@diegoambrosiovieira \n\n1. How will the organizers know which model architecture the candidates are using to create the predictions?\nThe organizers can verify the architecture through the final code or notebook submission, which will clearly show whether ndlinear or traditional layers were used. If required, I’m fully prepared to submit a complete, well-documented implementation.\n\n2. When will this be requested?\nThis is typically requested at the end of the competition during the final phase for top participants, along with the final model/code for verification and reproducibility.\n\n3. How important is the complexity of the model?\nModel complexity is not the focus. The main goal is to evaluate the performance of ndlinear layers compared to traditional linear layers. A simpler model using ndlinear that performs competitively is more aligned with the spirit of this competition than a highly complex one.",
    "3230316": "The main goal of this competition is not accuracy per se, but rather to compare the performance of traditional linear layers with the ndlinear layer.\n\nMy questions are:\nHow will the organizers know which model architecture the candidates are using to create the predictions?\n\nWhen will this be requested?\n\nHow important is the complexity of the model?",
    "3230326": "how did you even figure out what to submit bro I gave up several weeks ago lmaooo\n",
    "3230328": ""
  }
}