{
  "id": 5475,
  "title": "Update of model",
  "url": "/competitions/multi-modal-gesture-recognition/discussion/5475",
  "author_name": "",
  "post_date": "2013-08-21T05:19:08.973Z",
  "votes": null,
  "comment_count": 5,
  "views": 1909,
  "content": "<p>Hi Xavier,</p>\n<p><br>In the new test data set, the structure of the data does not have the Labels cell. As such, we had to modify a small part of our code to disregard checking of the Video.Label cells. Also, the final test file names goes up to 1074. We did not cater for this when generating the CSV file and the first column of the CSV file could not be generated properly. So, we had to modify this part of the code as well.</p>\n<p><br>None of the above actions are related to tuning of the parameters for the model, are we able to upload a new model for the organisers to validate the new test data on the Kaggle platform?</p>\n<p><br>Thanks.</p>",
  "messages": [
    {
      "id": "29118",
      "postDate": "08/21/2013 05:19:08",
      "content": "<p>Hi Xavier,</p>\n<p><br>In the new test data set, the structure of the data does not have the Labels cell. As such, we had to modify a small part of our code to disregard checking of the Video.Label cells. Also, the final test file names goes up to 1074. We did not cater for this when generating the CSV file and the first column of the CSV file could not be generated properly. So, we had to modify this part of the code as well.</p>\n<p><br>None of the above actions are related to tuning of the parameters for the model, are we able to upload a new model for the organisers to validate the new test data on the Kaggle platform?</p>\n<p><br>Thanks.</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "29134",
      "postDate": "08/21/2013 09:42:40",
      "content": "<p>We didn't put this field because the labels are not available. Nevertheless, in order to make it easy, I attach a Matlab script that will add this field to all your samples.</p>\n<p>Xavier</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "29136",
      "postDate": "08/21/2013 10:07:07",
      "content": "<p>Hi Xavier,</p>\n<p>We already generated the results. So, it is not a problem generating the results. Our team is worried about the final validation on the test data at the organiser's side.&nbsp;</p>\n<p>&nbsp;</p>\n<p>Jonathan</p>\n<p>&nbsp;</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "29137",
      "postDate": "08/21/2013 10:27:29",
      "content": "<p>If there is an inconsistence between our generated final predictions (with your updated model) and the ones you submit, we will contact you in order to validate the process, therefore, do not worry about this point.</p>\n<p>Xavier</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "29138",
      "postDate": "08/21/2013 10:34:17",
      "content": "<p>Hi Xavier,&nbsp;</p>\n<p>Thanks for the prompt reply. But how do I submit my updated model? Can I still submit my updated model through the Kaggle Platform now?</p>\n<p>Jonathan</p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "29139",
      "postDate": "08/21/2013 10:40:59",
      "content": "<p>Dear Jonathan,</p>\n<p>the deadline for the models submission was on August 15th. We are running your codes on the train data, and extracting the final predictions.</p>\n<p>We are waiting for Kaggle Admins to reactivate the competition in order you be able to submit your final predictions and fact sheets (before August 25th). We will compare your submitted predictions and the ones obtained using your model.</p>\n<p>Xavier</p>",
      "rawMarkdown": "",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 29134,
      "author_name": "xbaro100272",
      "author_url": "",
      "post_date": "08/21/2013 09:42:40",
      "content": "<p>We didn't put this field because the labels are not available. Nevertheless, in order to make it easy, I attach a Matlab script that will add this field to all your samples.</p>\n<p>Xavier</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 29136,
      "author_name": "jonathangoh",
      "author_url": "",
      "post_date": "08/21/2013 10:07:07",
      "content": "<p>Hi Xavier,</p>\n<p>We already generated the results. So, it is not a problem generating the results. Our team is worried about the final validation on the test data at the organiser's side.&nbsp;</p>\n<p>&nbsp;</p>\n<p>Jonathan</p>\n<p>&nbsp;</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 29137,
      "author_name": "xbaro100272",
      "author_url": "",
      "post_date": "08/21/2013 10:27:29",
      "content": "<p>If there is an inconsistence between our generated final predictions (with your updated model) and the ones you submit, we will contact you in order to validate the process, therefore, do not worry about this point.</p>\n<p>Xavier</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 29138,
      "author_name": "jonathangoh",
      "author_url": "",
      "post_date": "08/21/2013 10:34:17",
      "content": "<p>Hi Xavier,&nbsp;</p>\n<p>Thanks for the prompt reply. But how do I submit my updated model? Can I still submit my updated model through the Kaggle Platform now?</p>\n<p>Jonathan</p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>\n<p>&nbsp;</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 29139,
      "author_name": "xbaro100272",
      "author_url": "",
      "post_date": "08/21/2013 10:40:59",
      "content": "<p>Dear Jonathan,</p>\n<p>the deadline for the models submission was on August 15th. We are running your codes on the train data, and extracting the final predictions.</p>\n<p>We are waiting for Kaggle Admins to reactivate the competition in order you be able to submit your final predictions and fact sheets (before August 25th). We will compare your submitted predictions and the ones obtained using your model.</p>\n<p>Xavier</p>",
      "votes": null,
      "replies": []
    }
  ],
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