{
  "id": 266504,
  "title": "Data transformation during inference",
  "url": "/competitions/g2net-gravitational-wave-detection/discussion/266504",
  "author_name": "",
  "post_date": "2021-08-19T11:02:35.939233Z",
  "votes": null,
  "comment_count": 3,
  "views": 0,
  "content": "<p>I am converting the detector signals into images during training. Do I need to have the same transformation in place in my submission notebook?</p>\n<p>If I do the same conversion i.e. converting the detector data into images during inference then doing so would take lot of time in the submission notebook. I would like to know how others have handled this in their submission notebook. Any thoughts would be helpful.</p>",
  "messages": [
    {
      "id": "1481176",
      "postDate": "08/19/2021 11:02:35",
      "content": "<p>I am converting the detector signals into images during training. Do I need to have the same transformation in place in my submission notebook?</p>\n<p>If I do the same conversion i.e. converting the detector data into images during inference then doing so would take lot of time in the submission notebook. I would like to know how others have handled this in their submission notebook. Any thoughts would be helpful.</p>",
      "rawMarkdown": "I am converting the detector signals into images during training. Do I need to have the same transformation in place in my submission notebook?\n\nIf I do the same conversion i.e. converting the detector data into images during inference then doing so would take lot of time in the submission notebook. I would like to know how others have handled this in their submission notebook. Any thoughts would be helpful.",
      "votes": null
    },
    {
      "id": "1481377",
      "postDate": "08/19/2021 13:16:32",
      "content": "<p>Yes, you have to do the same for your submission. But the thing is this is not a Code competition, you don't have to submit your notebook, only the CSV file. So, the time shouldn't be an issue. Hope that helps !</p>",
      "rawMarkdown": "Yes, you have to do the same for your submission. But the thing is this is not a Code competition, you don't have to submit your notebook, only the CSV file. So, the time shouldn't be an issue. Hope that helps !",
      "votes": null
    },
    {
      "id": "1481757",
      "postDate": "08/19/2021 16:51:34",
      "content": "<p>Thank you <a href=\"https://www.kaggle.com/zarif98sjs\" target=\"_blank\">@zarif98sjs</a> You answered my query. This is only my second competition so I thought all competitions must have code submissions as well. </p>",
      "rawMarkdown": "Thank you @zarif98sjs You answered my query. This is only my second competition so I thought all competitions must have code submissions as well.",
      "votes": null
    },
    {
      "id": "1561174",
      "postDate": "10/27/2021 12:14:39",
      "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": 1481377,
      "author_name": "zarif98sjs",
      "author_url": "",
      "post_date": "08/19/2021 13:16:32",
      "content": "<p>Yes, you have to do the same for your submission. But the thing is this is not a Code competition, you don't have to submit your notebook, only the CSV file. So, the time shouldn't be an issue. Hope that helps !</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1481757,
      "author_name": "sapal6",
      "author_url": "",
      "post_date": "08/19/2021 16:51:34",
      "content": "<p>Thank you <a href=\"https://www.kaggle.com/zarif98sjs\" target=\"_blank\">@zarif98sjs</a> You answered my query. This is only my second competition so I thought all competitions must have code submissions as well. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1561174,
      "author_name": "zerafachris",
      "author_url": "",
      "post_date": "10/27/2021 12:14:39",
      "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": {
    "1481176": "I am converting the detector signals into images during training. Do I need to have the same transformation in place in my submission notebook?\n\nIf I do the same conversion i.e. converting the detector data into images during inference then doing so would take lot of time in the submission notebook. I would like to know how others have handled this in their submission notebook. Any thoughts would be helpful.",
    "1481377": "Yes, you have to do the same for your submission. But the thing is this is not a Code competition, you don't have to submit your notebook, only the CSV file. So, the time shouldn't be an issue. Hope that helps !",
    "1481757": "Thank you @zarif98sjs You answered my query. This is only my second competition so I thought all competitions must have code submissions as well.",
    "1561174": "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"
}