{
  "id": 263296,
  "title": "1 parameter win a bronze medal",
  "url": "/competitions/google-smartphone-decimeter-challenge/discussion/263296",
  "author_name": "",
  "post_date": "2021-08-09T02:05:01.643847600Z",
  "votes": 13,
  "comment_count": 4,
  "views": 0,
  "content": "<p>thx <a href=\"https://www.kaggle.com/gopalmahadevan\" target=\"_blank\">@gopalmahadevan</a> , your smooth weight is great！thx <a href=\"https://www.kaggle.com/bpetrb\" target=\"_blank\">@bpetrb</a> your notebook is great!<br>\n<a href=\"https://www.kaggle.com/gopalmahadevan/adaptive-gauss-phone-mean\" target=\"_blank\">https://www.kaggle.com/gopalmahadevan/adaptive-gauss-phone-mean</a><br>\n<a href=\"https://www.kaggle.com/bpetrb/adaptive-gauss-phone-mean\" target=\"_blank\">https://www.kaggle.com/bpetrb/adaptive-gauss-phone-mean</a></p>\n<p>1).change kind from 'linear' to 'quadratic'</p>\n<p><code>loc = interp1d(phone_data[other][:,0], \n                               phone_data[other][:,1:], \n                               axis=0, \n                               kind='linear', \n                               copy=False, \n                               bounds_error=None, \n                               fill_value='extrapolate', \n                               assume_sorted=True)</code></p>\n<p><code>loc = interp1d(phone_data[other][:,0], \n                               phone_data[other][:,1:], \n                               axis=0, \n                               kind='quadratic', \n                               copy=False, \n                               bounds_error=None, \n                               fill_value='extrapolate', \n                               assume_sorted=True)</code></p>\n<p>then,  get a Public Score：5.36487</p>\n<p>2). thx <a href=\"https://www.kaggle.com/somayyehgholami\" target=\"_blank\">@somayyehgholami</a> , your ensemble notebook is amazing…<br>\n<a href=\"https://www.kaggle.com/pythonlan/gsdc-smart-ensembling\" target=\"_blank\">https://www.kaggle.com/pythonlan/gsdc-smart-ensembling</a></p>\n<p>replace  sub5639 with sub5364 in step 1).</p>\n<p><code>path2 = '../input/gsdc5639/submission.csv'</code></p>\n<p><code>path2 = '../input/gsdc5364/submission.csv'</code></p>\n<p>3.Final scores:<br>\nPrivate Score :  3.55382<br>\nPublic   Score :  5.22766</p>",
  "messages": [
    {
      "id": "1460642",
      "postDate": "08/09/2021 02:05:01",
      "content": "<p>thx <a href=\"https://www.kaggle.com/gopalmahadevan\" target=\"_blank\">@gopalmahadevan</a> , your smooth weight is great！thx <a href=\"https://www.kaggle.com/bpetrb\" target=\"_blank\">@bpetrb</a> your notebook is great!<br>\n<a href=\"https://www.kaggle.com/gopalmahadevan/adaptive-gauss-phone-mean\" target=\"_blank\">https://www.kaggle.com/gopalmahadevan/adaptive-gauss-phone-mean</a><br>\n<a href=\"https://www.kaggle.com/bpetrb/adaptive-gauss-phone-mean\" target=\"_blank\">https://www.kaggle.com/bpetrb/adaptive-gauss-phone-mean</a></p>\n<p>1).change kind from 'linear' to 'quadratic'</p>\n<p><code>loc = interp1d(phone_data[other][:,0], \n                               phone_data[other][:,1:], \n                               axis=0, \n                               kind='linear', \n                               copy=False, \n                               bounds_error=None, \n                               fill_value='extrapolate', \n                               assume_sorted=True)</code></p>\n<p><code>loc = interp1d(phone_data[other][:,0], \n                               phone_data[other][:,1:], \n                               axis=0, \n                               kind='quadratic', \n                               copy=False, \n                               bounds_error=None, \n                               fill_value='extrapolate', \n                               assume_sorted=True)</code></p>\n<p>then,  get a Public Score：5.36487</p>\n<p>2). thx <a href=\"https://www.kaggle.com/somayyehgholami\" target=\"_blank\">@somayyehgholami</a> , your ensemble notebook is amazing…<br>\n<a href=\"https://www.kaggle.com/pythonlan/gsdc-smart-ensembling\" target=\"_blank\">https://www.kaggle.com/pythonlan/gsdc-smart-ensembling</a></p>\n<p>replace  sub5639 with sub5364 in step 1).</p>\n<p><code>path2 = '../input/gsdc5639/submission.csv'</code></p>\n<p><code>path2 = '../input/gsdc5364/submission.csv'</code></p>\n<p>3.Final scores:<br>\nPrivate Score :  3.55382<br>\nPublic   Score :  5.22766</p>",
      "rawMarkdown": "thx @gopalmahadevan , your smooth weight is great！thx @bpetrb your notebook is great!\nhttps://www.kaggle.com/gopalmahadevan/adaptive-gauss-phone-mean\nhttps://www.kaggle.com/bpetrb/adaptive-gauss-phone-mean\n\n1).change kind from 'linear' to 'quadratic'\n\n`loc = interp1d(phone_data[other][:,0], \n                               phone_data[other][:,1:], \n                               axis=0, \n                               kind='linear', \n                               copy=False, \n                               bounds_error=None, \n                               fill_value='extrapolate', \n                               assume_sorted=True)`\n\n`loc = interp1d(phone_data[other][:,0], \n                               phone_data[other][:,1:], \n                               axis=0, \n                               kind='quadratic', \n                               copy=False, \n                               bounds_error=None, \n                               fill_value='extrapolate', \n                               assume_sorted=True)`\n\nthen,  get a Public Score：5.36487\n\n2). thx @somayyehgholami , your ensemble notebook is amazing...\nhttps://www.kaggle.com/pythonlan/gsdc-smart-ensembling\n\nreplace  sub5639 with sub5364 in step 1).\n\n`path2 = '../input/gsdc5639/submission.csv'`\n\n`path2 = '../input/gsdc5364/submission.csv'`\n\n3.Final scores:\nPrivate Score :  3.55382\nPublic   Score :  5.22766",
      "votes": null
    },
    {
      "id": "1460649",
      "postDate": "08/09/2021 02:14:16",
      "content": "<p>cooooooool👍</p>",
      "rawMarkdown": "cooooooool👍",
      "votes": null
    },
    {
      "id": "1462080",
      "postDate": "08/09/2021 17:23:27",
      "content": "<p>congratulations <a href=\"https://www.kaggle.com/pythonlan\" target=\"_blank\">@pythonlan</a> , very well deserved!</p>",
      "rawMarkdown": "congratulations @pythonlan , very well deserved!",
      "votes": null
    },
    {
      "id": "1462176",
      "postDate": "08/09/2021 18:02:09",
      "content": "<p>Wow, nice catch</p>",
      "rawMarkdown": "Wow, nice catch",
      "votes": null
    },
    {
      "id": "1462764",
      "postDate": "08/10/2021 01:55:19",
      "content": "<p>looks so easy 😂😂😂</p>",
      "rawMarkdown": "looks so easy 😂😂😂",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1460649,
      "author_name": "gutianyi0727",
      "author_url": "",
      "post_date": "08/09/2021 02:14:16",
      "content": "<p>cooooooool👍</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1462080,
      "author_name": "saurabhbagchi",
      "author_url": "",
      "post_date": "08/09/2021 17:23:27",
      "content": "<p>congratulations <a href=\"https://www.kaggle.com/pythonlan\" target=\"_blank\">@pythonlan</a> , very well deserved!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1462176,
      "author_name": "victorasso",
      "author_url": "",
      "post_date": "08/09/2021 18:02:09",
      "content": "<p>Wow, nice catch</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1462764,
      "author_name": "maoquanzhang",
      "author_url": "",
      "post_date": "08/10/2021 01:55:19",
      "content": "<p>looks so easy 😂😂😂</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1460642": "thx @gopalmahadevan , your smooth weight is great！thx @bpetrb your notebook is great!\nhttps://www.kaggle.com/gopalmahadevan/adaptive-gauss-phone-mean\nhttps://www.kaggle.com/bpetrb/adaptive-gauss-phone-mean\n\n1).change kind from 'linear' to 'quadratic'\n\n`loc = interp1d(phone_data[other][:,0], \n                               phone_data[other][:,1:], \n                               axis=0, \n                               kind='linear', \n                               copy=False, \n                               bounds_error=None, \n                               fill_value='extrapolate', \n                               assume_sorted=True)`\n\n`loc = interp1d(phone_data[other][:,0], \n                               phone_data[other][:,1:], \n                               axis=0, \n                               kind='quadratic', \n                               copy=False, \n                               bounds_error=None, \n                               fill_value='extrapolate', \n                               assume_sorted=True)`\n\nthen,  get a Public Score：5.36487\n\n2). thx @somayyehgholami , your ensemble notebook is amazing...\nhttps://www.kaggle.com/pythonlan/gsdc-smart-ensembling\n\nreplace  sub5639 with sub5364 in step 1).\n\n`path2 = '../input/gsdc5639/submission.csv'`\n\n`path2 = '../input/gsdc5364/submission.csv'`\n\n3.Final scores:\nPrivate Score :  3.55382\nPublic   Score :  5.22766",
    "1460649": "cooooooool👍",
    "1462080": "congratulations @pythonlan , very well deserved!",
    "1462176": "Wow, nice catch",
    "1462764": "looks so easy 😂😂😂"
  },
  "source": "meta"
}