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To cite tfestimators in publications, please use:

Cheng H, Hong L, Ispir M, Mewald C, Haque Z, Polosukhin I, Roumpos G, Sculley D, Smith J, Soergel D, Tang Y, Tucker P, Wicke M, Xia C, Xie J (2017). “TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks.” In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1763–1771. ISBN 978-1-4503-4887-4, doi:10.1145/3097983.3098171, https://doi.acm.org/10.1145/3097983.3098171.

Tang Y, Allaire J, RStudio, Ushey K, Kuo K, Google Inc. (2018). tfestimators: High-level Estimator Interface to TensorFlow in R. https://github.com/rstudio/tfestimators.

Corresponding BibTeX entries:

  @InProceedings{,
    author = {Heng-Tze Cheng and Lichan Hong and Mustafa Ispir and
      Clemens Mewald and Zakaria Haque and Illia Polosukhin and
      Georgios Roumpos and D Sculley and Jamie Smith and David Soergel
      and Yuan Tang and Philipp Tucker and Martin Wicke and Cassandra
      Xia and Jianwei Xie},
    title = {TensorFlow Estimators: Managing Simplicity vs. Flexibility
      in High-Level Machine Learning Frameworks},
    booktitle = {Proceedings of the 23rd ACM SIGKDD International
      Conference on Knowledge Discovery and Data Mining},
    year = {2017},
    isbn = {978-1-4503-4887-4},
    location = {Halifax, NS, Canada},
    pages = {1763--1771},
    url = {https://doi.acm.org/10.1145/3097983.3098171},
    doi = {10.1145/3097983.3098171},
    acmid = {3098171},
    publisher = {ACM},
    address = {New York, NY, USA},
  }
  @Manual{,
    author = {Yuan Tang and JJ Allaire and {RStudio} and Kevin Ushey
      and Kevin Kuo and {Google Inc.}},
    title = {tfestimators: High-level Estimator Interface to TensorFlow
      in R},
    year = {2018},
    url = {https://github.com/rstudio/tfestimators},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.