{
  "id": 23523,
  "title": "Are the stations related to each other ? Is it know how?",
  "url": "/competitions/bosch-production-line-performance/discussion/23523",
  "author_name": "Jozsef Hegedus",
  "post_date": "2016-09-09T10:27:16.637000",
  "votes": 0,
  "comment_count": 0,
  "views": 272,
  "content": "<p>Is it so that S1 is followed by S2 , etc  (on a production line)? </p>\n\n<p>Would it make sense to take into account this relation ? (For example with a Hidden Markov Model / Recurrent neural network )?</p>\n\n<p>Is the feature value at S2 dependent on feature value at S1 ? </p>",
  "messages": [
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      "id": 134921,
      "postDate": "2016-09-09T10:27:16.637Z",
      "content": "<p>Is it so that S1 is followed by S2 , etc  (on a production line)? </p>\n\n<p>Would it make sense to take into account this relation ? (For example with a Hidden Markov Model / Recurrent neural network )?</p>\n\n<p>Is the feature value at S2 dependent on feature value at S1 ? </p>",
      "rawMarkdown": "\r\nIs it so that S1 is followed by S2 , etc  (on a production line)? \r\n\r\nWould it make sense to take into account this relation ? (For example with a Hidden Markov Model / Recurrent neural network )?\r\n\r\nIs the feature value at S2 dependent on feature value at S1 ? \r\n"
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  "comments": [],
  "raw_markdown_by_id": {
    "134921": "\r\nIs it so that S1 is followed by S2 , etc  (on a production line)? \r\n\r\nWould it make sense to take into account this relation ? (For example with a Hidden Markov Model / Recurrent neural network )?\r\n\r\nIs the feature value at S2 dependent on feature value at S1 ? \r\n"
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}