{
  "id": 77227,
  "title": "Reminder to enter the LSST Workshop challenge by the 15th!",
  "url": "/competitions/PLAsTiCC-2018/discussion/77227",
  "author_name": "",
  "post_date": "2019-01-10T20:33:35.523022900Z",
  "votes": null,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Hi Kagglers</p>\n\n<p>We wanted to remind you of the LSST Workshop challenge, which remains open until January 15th 2019, prizes include a trip to an academic conference to present your solutions (see details: <a href=\"https://www.kaggle.com/c/PLAsTiCC-2018#Prizes\">https://www.kaggle.com/c/PLAsTiCC-2018#Prizes</a>).</p>\n\n<p>As part of this challenge, we will be rewarding teams that have solutions/algorithms of scientific interest in the following areas:</p>\n\n<p>codes that yield high efficiency at class 99-specific classifications\nnovel methods that classify one type of object with high precision (purity) and high recall (completeness), particularly on objects where others have struggled\nmodels that can generate new light curves from the existing data\nmethods that work well on classifying light curves that have large flux uncertainties</p>\n\n<p>In order to enter the LSST Workshop part of the challenge, we ask that you submit a Google form here: <a href=\"https://goo.gl/forms/EjzSeBE1tYPHGVCx1\">https://goo.gl/forms/EjzSeBE1tYPHGVCx1</a> with details of the code you wish to submit for this challenge.</p>\n\n<p>We want to see your interesting solutions, so make sure to fill out the form by the 15th!</p>\n\n<p>cheers\nThe PLAsTiCC Team</p>",
  "messages": [
    {
      "id": "453813",
      "postDate": "01/10/2019 20:33:35",
      "content": "<p>Hi Kagglers</p>\n\n<p>We wanted to remind you of the LSST Workshop challenge, which remains open until January 15th 2019, prizes include a trip to an academic conference to present your solutions (see details: <a href=\"https://www.kaggle.com/c/PLAsTiCC-2018#Prizes\">https://www.kaggle.com/c/PLAsTiCC-2018#Prizes</a>).</p>\n\n<p>As part of this challenge, we will be rewarding teams that have solutions/algorithms of scientific interest in the following areas:</p>\n\n<p>codes that yield high efficiency at class 99-specific classifications\nnovel methods that classify one type of object with high precision (purity) and high recall (completeness), particularly on objects where others have struggled\nmodels that can generate new light curves from the existing data\nmethods that work well on classifying light curves that have large flux uncertainties</p>\n\n<p>In order to enter the LSST Workshop part of the challenge, we ask that you submit a Google form here: <a href=\"https://goo.gl/forms/EjzSeBE1tYPHGVCx1\">https://goo.gl/forms/EjzSeBE1tYPHGVCx1</a> with details of the code you wish to submit for this challenge.</p>\n\n<p>We want to see your interesting solutions, so make sure to fill out the form by the 15th!</p>\n\n<p>cheers\nThe PLAsTiCC Team</p>",
      "rawMarkdown": "Hi Kagglers\n\nWe wanted to remind you of the LSST Workshop challenge, which remains open until January 15th 2019, prizes include a trip to an academic conference to present your solutions (see details: https://www.kaggle.com/c/PLAsTiCC-2018#Prizes).\n\nAs part of this challenge, we will be rewarding teams that have solutions/algorithms of scientific interest in the following areas:\n\ncodes that yield high efficiency at class 99-specific classifications\nnovel methods that classify one type of object with high precision (purity) and high recall (completeness), particularly on objects where others have struggled\nmodels that can generate new light curves from the existing data\nmethods that work well on classifying light curves that have large flux uncertainties\n\nIn order to enter the LSST Workshop part of the challenge, we ask that you submit a Google form here: https://goo.gl/forms/EjzSeBE1tYPHGVCx1 with details of the code you wish to submit for this challenge.\n\nWe want to see your interesting solutions, so make sure to fill out the form by the 15th!\n\ncheers\nThe PLAsTiCC Team",
      "votes": null
    },
    {
      "id": "455773",
      "postDate": "01/14/2019 15:02:38",
      "content": "<p>hi folks, a reminder to submit your code to the LSST Workshop challenge - we are keen to see (and reward!) your innovative solutions. The deadline is the 15th (tomorrow!)</p>",
      "rawMarkdown": "hi folks, a reminder to submit your code to the LSST Workshop challenge - we are keen to see (and reward!) your innovative solutions. The deadline is the 15th (tomorrow!)",
      "votes": null
    },
    {
      "id": "456298",
      "postDate": "01/15/2019 14:15:03",
      "content": "<p>Is the test data with targets available today? I'm working on image classification of time series data, so the more data I have for training the better. I ran into issues trying data augmentation for this purpose. </p>",
      "rawMarkdown": "Is the test data with targets available today? I'm working on image classification of time series data, so the more data I have for training the better. I ran into issues trying data augmentation for this purpose.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 455773,
      "author_name": "reneehlozek",
      "author_url": "",
      "post_date": "01/14/2019 15:02:38",
      "content": "<p>hi folks, a reminder to submit your code to the LSST Workshop challenge - we are keen to see (and reward!) your innovative solutions. The deadline is the 15th (tomorrow!)</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 456298,
      "author_name": "d8an1nj4",
      "author_url": "",
      "post_date": "01/15/2019 14:15:03",
      "content": "<p>Is the test data with targets available today? I'm working on image classification of time series data, so the more data I have for training the better. I ran into issues trying data augmentation for this purpose. </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "453813": "Hi Kagglers\n\nWe wanted to remind you of the LSST Workshop challenge, which remains open until January 15th 2019, prizes include a trip to an academic conference to present your solutions (see details: https://www.kaggle.com/c/PLAsTiCC-2018#Prizes).\n\nAs part of this challenge, we will be rewarding teams that have solutions/algorithms of scientific interest in the following areas:\n\ncodes that yield high efficiency at class 99-specific classifications\nnovel methods that classify one type of object with high precision (purity) and high recall (completeness), particularly on objects where others have struggled\nmodels that can generate new light curves from the existing data\nmethods that work well on classifying light curves that have large flux uncertainties\n\nIn order to enter the LSST Workshop part of the challenge, we ask that you submit a Google form here: https://goo.gl/forms/EjzSeBE1tYPHGVCx1 with details of the code you wish to submit for this challenge.\n\nWe want to see your interesting solutions, so make sure to fill out the form by the 15th!\n\ncheers\nThe PLAsTiCC Team",
    "455773": "hi folks, a reminder to submit your code to the LSST Workshop challenge - we are keen to see (and reward!) your innovative solutions. The deadline is the 15th (tomorrow!)",
    "456298": "Is the test data with targets available today? I'm working on image classification of time series data, so the more data I have for training the better. I ran into issues trying data augmentation for this purpose."
  },
  "source": "meta"
}