IDEAS home Printed from https://ideas.repec.org/a/for/ijafaa/y2019i55p20-26.html
   My bibliography  Save this article

Open-Source Forecasting Tools in Python

Author

Listed:
  • Tim Januschowski
  • Jan Gasthaus
  • Yuyang Wang

Abstract

The authors from Amazon Web Services have been heavily engaged in deep learning modeling and forecasting from neural networks. Their two-part tutorial and analysis of neural forecasting appeared in the Summer and Fall 2018 issues of this journal. Here they review the state of open-source software options for forecasting, concentrating on alternative platforms to the R package.

Suggested Citation

  • Tim Januschowski & Jan Gasthaus & Yuyang Wang, 2019. "Open-Source Forecasting Tools in Python," Foresight: The International Journal of Applied Forecasting, International Institute of Forecasters, issue 55, pages 20-26, Fall.
    • Handle: RePEc:for:ijafaa:y:2019:i:55:p:20-26
    as

    Download full text from publisher

    File URL: https://foresight.forecasters.org/shop/
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:for:ijafaa:y:2019:i:55:p:20-26. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Michael Gilliland (email available below). General contact details of provider: https://edirc.repec.org/data/iiforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.