{
  "id": 118202,
  "title": "Lag Features -Feature Engineering With Time Series Data-",
  "url": "/competitions/ashrae-energy-prediction/discussion/118202",
  "author_name": "Naruhiko Nakanishi",
  "post_date": "2019-11-20T02:34:14.156000",
  "votes": 2,
  "comment_count": 0,
  "views": 0,
  "content": "<p><em><strong>Feature Engineering With Time Series Data</strong></em></p>\n\n<p>Lag features are the classical way that time series forecasting problems are transformed into supervised learning problems. The simplest approach is to predict the value at the next time (t+1) given the value at the previous time (t-1). </p>\n\n<p><a href=\"https://machinelearningmastery.com/basic-feature-engineering-time-series-data-python/\">https://machinelearningmastery.com/basic-feature-engineering-time-series-data-python/</a></p>",
  "messages": [
    {
      "id": 677299,
      "postDate": "2019-11-20T02:34:14.157Z",
      "content": "<p><em><strong>Feature Engineering With Time Series Data</strong></em></p>\n\n<p>Lag features are the classical way that time series forecasting problems are transformed into supervised learning problems. The simplest approach is to predict the value at the next time (t+1) given the value at the previous time (t-1). </p>\n\n<p><a href=\"https://machinelearningmastery.com/basic-feature-engineering-time-series-data-python/\">https://machinelearningmastery.com/basic-feature-engineering-time-series-data-python/</a></p>",
      "rawMarkdown": "***Feature Engineering With Time Series Data***\n\nLag features are the classical way that time series forecasting problems are transformed into supervised learning problems. The simplest approach is to predict the value at the next time (t+1) given the value at the previous time (t-1). \n\nhttps://machinelearningmastery.com/basic-feature-engineering-time-series-data-python/\n\n",
      "votes": 2
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "677299": "***Feature Engineering With Time Series Data***\n\nLag features are the classical way that time series forecasting problems are transformed into supervised learning problems. The simplest approach is to predict the value at the next time (t+1) given the value at the previous time (t-1). \n\nhttps://machinelearningmastery.com/basic-feature-engineering-time-series-data-python/\n\n"
  }
}