{
  "id": 21631,
  "title": "6999251  no. of rows in submission file?",
  "url": "/competitions/grupo-bimbo-inventory-demand/discussion/21631",
  "author_name": "yogi",
  "post_date": "2016-06-13T05:04:52.047000",
  "votes": 0,
  "comment_count": 7,
  "views": 760,
  "content": "<p>I am missing something very basic. \n6999251 no. of rows in submission file ?  How ?</p>",
  "messages": [
    {
      "id": 123686,
      "postDate": "2016-06-13T13:24:26.560Z",
      "content": "<p>Looks like they want a prediction for weeks 10 and then also week 11 in at least some instances.  For example, client 60, product 33267 for week 10 is where test id=448555 and week 11 is where test id=774731.</p>",
      "rawMarkdown": "\r\nLooks like they want a prediction for weeks 10 and then also week 11 in at least some instances.  For example, client 60, product 33267 for week 10 is where test id=448555 and week 11 is where test id=774731.\r\n"
    },
    {
      "id": 123672,
      "postDate": "2016-06-13T11:54:00.687Z",
      "content": "<p>You have 2 weeks to predict (week 10 and week 11).</p>\n\n<p>Also, you must predict by {Client, Product} for specific weeks. You have to predict the demand per product for each client. We are not predicting per client only.</p>\n\n<p>For instance, if a client has 1000 different products on only one week, it will appear 1000 times in both the submission and the test files.</p>\n\n<p>If you have:</p>\n\n<ul>\n<li>1 client with 2000 different products in week 10 and 1000 different products in week 11</li>\n<li>1 client with 1500 different products in week 10 and 3000 different products in week 11</li>\n<li>=&gt; You have [2000+1000]+[1500+3000] = 3000+4500 = 7500 lines in the test and submission files</li>\n</ul>\n\n<p>The test and submission files are grouped by ID. You can use those to determine what is matching with what. For instance:</p>\n\n<ul>\n<li>For the ID 0 in the test file, the adjusted demand you need to predict will be input in the submission file in the ID 0 at the column Demanda_uni_equil.</li>\n<li>For the ID 1 in the test file, the adjusted demand you need to predict will be input in the submission file in the ID 1 at the column Demanda_uni_equil.</li>\n<li>etc...</li>\n</ul>",
      "rawMarkdown": "You have 2 weeks to predict (week 10 and week 11).\r\n\r\nAlso, you must predict by {Client, Product} for specific weeks. You have to predict the demand per product for each client. We are not predicting per client only.\r\n\r\nFor instance, if a client has 1000 different products on only one week, it will appear 1000 times in both the submission and the test files.\r\n\r\nIf you have:\r\n\r\n* 1 client with 2000 different products in week 10 and 1000 different products in week 11\r\n* 1 client with 1500 different products in week 10 and 3000 different products in week 11\r\n* => You have [2000+1000]+[1500+3000] = 3000+4500 = 7500 lines in the test and submission files\r\n\r\nThe test and submission files are grouped by ID. You can use those to determine what is matching with what. For instance:\r\n\r\n* For the ID 0 in the test file, the adjusted demand you need to predict will be input in the submission file in the ID 0 at the column Demanda_uni_equil.\r\n* For the ID 1 in the test file, the adjusted demand you need to predict will be input in the submission file in the ID 1 at the column Demanda_uni_equil.\r\n* etc..."
    },
    {
      "id": 123669,
      "postDate": "2016-06-13T11:34:34.290Z",
      "content": "<p>I don't agree with FredR</p>",
      "rawMarkdown": "I don't agree with FredR"
    },
    {
      "id": 123620,
      "postDate": "2016-06-13T06:06:57.140Z",
      "content": "<p>Fred . Missing something badly here , as may be I am reading file as a sample .</p>\n\n<p>As per definition \n&quot; you will forecast the demand of a product for a given week, at a particular store &quot;</p>\n\n<p>My question is \nI believe total no. of prediction i.e. \n6999251 = No. of stores X 7 \nor             =  No. of stores X no. of products X 7  something ... </p>\n\n<p>more precisely  how we get to this no.   </p>",
      "rawMarkdown": "Fred . Missing something badly here , as may be I am reading file as a sample .\r\n\r\nAs per definition \r\n\" you will forecast the demand of a product for a given week, at a particular store \"\r\n\r\nMy question is \r\nI believe total no. of prediction i.e. \r\n6999251 = No. of stores X 7 \r\nor             =  No. of stores X no. of products X 7  something ... \r\n\r\nmore precisely  how we get to this no.   "
    },
    {
      "id": 123609,
      "postDate": "2016-06-13T05:04:52.047Z",
      "content": "<p>I am missing something very basic. \n6999251 no. of rows in submission file ?  How ?</p>",
      "rawMarkdown": "I am missing something very basic. \r\n6999251 no. of rows in submission file ?  How ?"
    },
    {
      "id": 123631,
      "postDate": "2016-06-13T06:51:12.493Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 123611,
      "postDate": "2016-06-13T05:14:42.187Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 123633,
      "postDate": "2016-06-13T06:54:54.647Z",
      "content": "<p>Yes :) precisely , thanks FredR </p>",
      "rawMarkdown": "Yes :) precisely , thanks FredR "
    }
  ],
  "comments": [
    {
      "id": 123686,
      "author_name": "matt605",
      "author_url": "",
      "post_date": "2016-06-13T13:24:26.560000",
      "content": "<p>Looks like they want a prediction for weeks 10 and then also week 11 in at least some instances.  For example, client 60, product 33267 for week 10 is where test id=448555 and week 11 is where test id=774731.</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 123672,
      "author_name": "Laurae",
      "author_url": "",
      "post_date": "2016-06-13T11:54:00.687000",
      "content": "<p>You have 2 weeks to predict (week 10 and week 11).</p>\n\n<p>Also, you must predict by {Client, Product} for specific weeks. You have to predict the demand per product for each client. We are not predicting per client only.</p>\n\n<p>For instance, if a client has 1000 different products on only one week, it will appear 1000 times in both the submission and the test files.</p>\n\n<p>If you have:</p>\n\n<ul>\n<li>1 client with 2000 different products in week 10 and 1000 different products in week 11</li>\n<li>1 client with 1500 different products in week 10 and 3000 different products in week 11</li>\n<li>=&gt; You have [2000+1000]+[1500+3000] = 3000+4500 = 7500 lines in the test and submission files</li>\n</ul>\n\n<p>The test and submission files are grouped by ID. You can use those to determine what is matching with what. For instance:</p>\n\n<ul>\n<li>For the ID 0 in the test file, the adjusted demand you need to predict will be input in the submission file in the ID 0 at the column Demanda_uni_equil.</li>\n<li>For the ID 1 in the test file, the adjusted demand you need to predict will be input in the submission file in the ID 1 at the column Demanda_uni_equil.</li>\n<li>etc...</li>\n</ul>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 123669,
      "author_name": "bigdatafisher",
      "author_url": "",
      "post_date": "2016-06-13T11:34:34.290000",
      "content": "<p>I don't agree with FredR</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 123620,
      "author_name": "yogi",
      "author_url": "",
      "post_date": "2016-06-13T06:06:57.140000",
      "content": "<p>Fred . Missing something badly here , as may be I am reading file as a sample .</p>\n\n<p>As per definition \n&quot; you will forecast the demand of a product for a given week, at a particular store &quot;</p>\n\n<p>My question is \nI believe total no. of prediction i.e. \n6999251 = No. of stores X 7 \nor             =  No. of stores X no. of products X 7  something ... </p>\n\n<p>more precisely  how we get to this no.   </p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 123631,
      "author_name": "",
      "author_url": "",
      "post_date": "2016-06-13T06:51:12.493000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 123611,
      "author_name": "",
      "author_url": "",
      "post_date": "2016-06-13T05:14:42.187000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 123633,
      "author_name": "yogi",
      "author_url": "",
      "post_date": "2016-06-13T06:54:54.647000",
      "content": "<p>Yes :) precisely , thanks FredR </p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "123686": "\r\nLooks like they want a prediction for weeks 10 and then also week 11 in at least some instances.  For example, client 60, product 33267 for week 10 is where test id=448555 and week 11 is where test id=774731.\r\n",
    "123672": "You have 2 weeks to predict (week 10 and week 11).\r\n\r\nAlso, you must predict by {Client, Product} for specific weeks. You have to predict the demand per product for each client. We are not predicting per client only.\r\n\r\nFor instance, if a client has 1000 different products on only one week, it will appear 1000 times in both the submission and the test files.\r\n\r\nIf you have:\r\n\r\n* 1 client with 2000 different products in week 10 and 1000 different products in week 11\r\n* 1 client with 1500 different products in week 10 and 3000 different products in week 11\r\n* => You have [2000+1000]+[1500+3000] = 3000+4500 = 7500 lines in the test and submission files\r\n\r\nThe test and submission files are grouped by ID. You can use those to determine what is matching with what. For instance:\r\n\r\n* For the ID 0 in the test file, the adjusted demand you need to predict will be input in the submission file in the ID 0 at the column Demanda_uni_equil.\r\n* For the ID 1 in the test file, the adjusted demand you need to predict will be input in the submission file in the ID 1 at the column Demanda_uni_equil.\r\n* etc...",
    "123669": "I don't agree with FredR",
    "123620": "Fred . Missing something badly here , as may be I am reading file as a sample .\r\n\r\nAs per definition \r\n\" you will forecast the demand of a product for a given week, at a particular store \"\r\n\r\nMy question is \r\nI believe total no. of prediction i.e. \r\n6999251 = No. of stores X 7 \r\nor             =  No. of stores X no. of products X 7  something ... \r\n\r\nmore precisely  how we get to this no.   ",
    "123609": "I am missing something very basic. \r\n6999251 no. of rows in submission file ?  How ?",
    "123631": "",
    "123611": "",
    "123633": "Yes :) precisely , thanks FredR "
  }
}