{
  "id": 122925,
  "title": "Help with Inference scheme.. ",
  "url": "/competitions/bengaliai-cv19/discussion/122925",
  "author_name": "",
  "post_date": "2019-12-23T17:02:12.610384500Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi all, since I'm new to Kaggle and it is my first synchronous rerun competition, could you please help with the inference on the test set? </p>\n\n<p>Assume we  have already trained the models (either a single model per output or a multi-output model). Thank you in advance..</p>\n\n<p>Happy kaggling!!  </p>",
  "messages": [
    {
      "id": "701613",
      "postDate": "12/23/2019 17:02:12",
      "content": "<p>Hi all, since I'm new to Kaggle and it is my first synchronous rerun competition, could you please help with the inference on the test set? </p>\n\n<p>Assume we  have already trained the models (either a single model per output or a multi-output model). Thank you in advance..</p>\n\n<p>Happy kaggling!!  </p>",
      "rawMarkdown": "Hi all, since I'm new to Kaggle and it is my first synchronous rerun competition, could you please help with the inference on the test set? \n\nAssume we  have already trained the models (either a single model per output or a multi-output model). Thank you in advance..\n\nHappy kaggling!!",
      "votes": null
    },
    {
      "id": "702639",
      "postDate": "12/25/2019 00:39:08",
      "content": "<p>You can check Notebooks section -&gt; inference notebooks where you could see how people inference their models.</p>\n\n<blockquote>\n  <p><a href=\"https://www.kaggle.com/iafoss/grapheme-fast-ai-starter-inference\">https://www.kaggle.com/iafoss/grapheme-fast-ai-starter-inference</a>\n  <a href=\"https://www.kaggle.com/pestipeti/simple-pytorch-inference\">https://www.kaggle.com/pestipeti/simple-pytorch-inference</a>\n  <a href=\"https://www.kaggle.com/hanjoonchoe/grapheme-resnet-18-n-l-inference-lb-0-8566\">https://www.kaggle.com/hanjoonchoe/grapheme-resnet-18-n-l-inference-lb-0-8566</a></p>\n</blockquote>",
      "rawMarkdown": "You can check Notebooks section -&gt; inference notebooks where you could see how people inference their models.\n\n&gt;https://www.kaggle.com/iafoss/grapheme-fast-ai-starter-inference\n&gt;https://www.kaggle.com/pestipeti/simple-pytorch-inference\n&gt;https://www.kaggle.com/hanjoonchoe/grapheme-resnet-18-n-l-inference-lb-0-8566",
      "votes": null
    },
    {
      "id": "702915",
      "postDate": "12/25/2019 10:47:18",
      "content": "<p>Thanks, I'm working on that now!!</p>",
      "rawMarkdown": "Thanks, I'm working on that now!!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 702639,
      "author_name": "hanjoonchoe",
      "author_url": "",
      "post_date": "12/25/2019 00:39:08",
      "content": "<p>You can check Notebooks section -&gt; inference notebooks where you could see how people inference their models.</p>\n\n<blockquote>\n  <p><a href=\"https://www.kaggle.com/iafoss/grapheme-fast-ai-starter-inference\">https://www.kaggle.com/iafoss/grapheme-fast-ai-starter-inference</a>\n  <a href=\"https://www.kaggle.com/pestipeti/simple-pytorch-inference\">https://www.kaggle.com/pestipeti/simple-pytorch-inference</a>\n  <a href=\"https://www.kaggle.com/hanjoonchoe/grapheme-resnet-18-n-l-inference-lb-0-8566\">https://www.kaggle.com/hanjoonchoe/grapheme-resnet-18-n-l-inference-lb-0-8566</a></p>\n</blockquote>",
      "votes": null,
      "replies": [
        {
          "id": 702915,
          "author_name": "imeintanis",
          "author_url": "",
          "post_date": "12/25/2019 10:47:18",
          "content": "<p>Thanks, I'm working on that now!!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "701613": "Hi all, since I'm new to Kaggle and it is my first synchronous rerun competition, could you please help with the inference on the test set? \n\nAssume we  have already trained the models (either a single model per output or a multi-output model). Thank you in advance..\n\nHappy kaggling!!",
    "702639": "You can check Notebooks section -&gt; inference notebooks where you could see how people inference their models.\n\n&gt;https://www.kaggle.com/iafoss/grapheme-fast-ai-starter-inference\n&gt;https://www.kaggle.com/pestipeti/simple-pytorch-inference\n&gt;https://www.kaggle.com/hanjoonchoe/grapheme-resnet-18-n-l-inference-lb-0-8566",
    "702915": "Thanks, I'm working on that now!!"
  },
  "source": "meta"
}