{
  "id": 192380,
  "title": "Running full dataset issue",
  "url": "/competitions/lyft-motion-prediction-autonomous-vehicles/discussion/192380",
  "author_name": "",
  "post_date": "2020-10-21T07:47:24.963703600Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Have anyone have run full dataset on Kaggle Kernel. by using l5kit function. it showing me that it is allocating more memory.<br>\nCan anyone fix this?</p>",
  "messages": [
    {
      "id": "1055891",
      "postDate": "10/21/2020 07:47:24",
      "content": "<p>Have anyone have run full dataset on Kaggle Kernel. by using l5kit function. it showing me that it is allocating more memory.<br>\nCan anyone fix this?</p>",
      "rawMarkdown": "Have anyone have run full dataset on Kaggle Kernel. by using l5kit function. it showing me that it is allocating more memory.\nCan anyone fix this?",
      "votes": null
    },
    {
      "id": "1056011",
      "postDate": "10/21/2020 10:42:45",
      "content": "<p>You have opened an issue about that already: <a href=\"https://www.kaggle.com/c/lyft-motion-prediction-autonomous-vehicles/discussion/189996\" target=\"_blank\">https://www.kaggle.com/c/lyft-motion-prediction-autonomous-vehicles/discussion/189996</a></p>\n<p>I have answered you a way on how to handle that problem, others did suggest you things too :)</p>\n<p>You wont be able to train a whole model with batch-learning, you will have to use online-learning techniques (e.g. incremental learning) to train the model over the whole dataset</p>",
      "rawMarkdown": "You have opened an issue about that already: https://www.kaggle.com/c/lyft-motion-prediction-autonomous-vehicles/discussion/189996\n\nI have answered you a way on how to handle that problem, others did suggest you things too :)\n\nYou wont be able to train a whole model with batch-learning, you will have to use online-learning techniques (e.g. incremental learning) to train the model over the whole dataset",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1056011,
      "author_name": "aliabdin1",
      "author_url": "",
      "post_date": "10/21/2020 10:42:45",
      "content": "<p>You have opened an issue about that already: <a href=\"https://www.kaggle.com/c/lyft-motion-prediction-autonomous-vehicles/discussion/189996\" target=\"_blank\">https://www.kaggle.com/c/lyft-motion-prediction-autonomous-vehicles/discussion/189996</a></p>\n<p>I have answered you a way on how to handle that problem, others did suggest you things too :)</p>\n<p>You wont be able to train a whole model with batch-learning, you will have to use online-learning techniques (e.g. incremental learning) to train the model over the whole dataset</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1055891": "Have anyone have run full dataset on Kaggle Kernel. by using l5kit function. it showing me that it is allocating more memory.\nCan anyone fix this?",
    "1056011": "You have opened an issue about that already: https://www.kaggle.com/c/lyft-motion-prediction-autonomous-vehicles/discussion/189996\n\nI have answered you a way on how to handle that problem, others did suggest you things too :)\n\nYou wont be able to train a whole model with batch-learning, you will have to use online-learning techniques (e.g. incremental learning) to train the model over the whole dataset"
  },
  "source": "meta"
}