{
  "id": 115419,
  "title": "How long  does the running code take?",
  "url": "/competitions/ashrae-energy-prediction/discussion/115419",
  "author_name": "",
  "post_date": "2019-11-02T17:16:33.991149Z",
  "votes": null,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hi everyone. I am new to KAGGLE and this is my first challenge I would like to participate. I have prepared something to run but I cannot get the result after 1.5 days!!\nI should mention that I am using CPUs.</p>\n\n<p>What should I do? How can I handle this?</p>\n\n<p>I would really appreciated any advice.</p>",
  "messages": [
    {
      "id": "663798",
      "postDate": "11/02/2019 17:16:33",
      "content": "<p>Hi everyone. I am new to KAGGLE and this is my first challenge I would like to participate. I have prepared something to run but I cannot get the result after 1.5 days!!\nI should mention that I am using CPUs.</p>\n\n<p>What should I do? How can I handle this?</p>\n\n<p>I would really appreciated any advice.</p>",
      "rawMarkdown": "Hi everyone. I am new to KAGGLE and this is my first challenge I would like to participate. I have prepared something to run but I cannot get the result after 1.5 days!!\nI should mention that I am using CPUs.\n\nWhat should I do? How can I handle this?\n\nI would really appreciated any advice.",
      "votes": null
    },
    {
      "id": "663814",
      "postDate": "11/02/2019 17:40:46",
      "content": "<p>reduce estimators and increase your learning rate. </p>",
      "rawMarkdown": "reduce estimators and increase your learning rate.",
      "votes": null
    },
    {
      "id": "663900",
      "postDate": "11/02/2019 20:35:45",
      "content": "<p>is your kernel stuck in queue?\nIf yes , shut it down and run your kernel in edit mode , one cell at a time . and try to see whether it's actually getting stuck, most of the times , merge on huge dataframes or StratifiedKfold get's stuck on this . If you using some boosting method then reduce the parameters like - num_boosted_rounds, leaves etc</p>",
      "rawMarkdown": "is your kernel stuck in queue?\nIf yes , shut it down and run your kernel in edit mode , one cell at a time . and try to see whether it's actually getting stuck, most of the times , merge on huge dataframes or StratifiedKfold get's stuck on this . If you using some boosting method then reduce the parameters like - num_boosted_rounds, leaves etc",
      "votes": null
    },
    {
      "id": "664026",
      "postDate": "11/03/2019 04:14:55",
      "content": "<p>If you are using LightGBM, there is a problem with current numpy version. You can see my post at <a href=\"https://www.kaggle.com/c/ashrae-energy-prediction/discussion/114614\">Speed up LightGBM</a>.</p>",
      "rawMarkdown": "If you are using LightGBM, there is a problem with current numpy version. You can see my post at [Speed up LightGBM](https://www.kaggle.com/c/ashrae-energy-prediction/discussion/114614).",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 663814,
      "author_name": "themonologue",
      "author_url": "",
      "post_date": "11/02/2019 17:40:46",
      "content": "<p>reduce estimators and increase your learning rate. </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 663900,
      "author_name": "avikrams",
      "author_url": "",
      "post_date": "11/02/2019 20:35:45",
      "content": "<p>is your kernel stuck in queue?\nIf yes , shut it down and run your kernel in edit mode , one cell at a time . and try to see whether it's actually getting stuck, most of the times , merge on huge dataframes or StratifiedKfold get's stuck on this . If you using some boosting method then reduce the parameters like - num_boosted_rounds, leaves etc</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 664026,
      "author_name": "juanmah",
      "author_url": "",
      "post_date": "11/03/2019 04:14:55",
      "content": "<p>If you are using LightGBM, there is a problem with current numpy version. You can see my post at <a href=\"https://www.kaggle.com/c/ashrae-energy-prediction/discussion/114614\">Speed up LightGBM</a>.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "663798": "Hi everyone. I am new to KAGGLE and this is my first challenge I would like to participate. I have prepared something to run but I cannot get the result after 1.5 days!!\nI should mention that I am using CPUs.\n\nWhat should I do? How can I handle this?\n\nI would really appreciated any advice.",
    "663814": "reduce estimators and increase your learning rate.",
    "663900": "is your kernel stuck in queue?\nIf yes , shut it down and run your kernel in edit mode , one cell at a time . and try to see whether it's actually getting stuck, most of the times , merge on huge dataframes or StratifiedKfold get's stuck on this . If you using some boosting method then reduce the parameters like - num_boosted_rounds, leaves etc",
    "664026": "If you are using LightGBM, there is a problem with current numpy version. You can see my post at [Speed up LightGBM](https://www.kaggle.com/c/ashrae-energy-prediction/discussion/114614)."
  },
  "source": "meta"
}