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pro vyhledávání: '"Eddelbuettel, Dirk"'
CRAN Task Views have been available on the Comprehensive R Archive Network since 2005. They provide guidance about which CRAN packages are relevant for tasks related to a certain topic, and can also facilitate automatic installation of all correspond
Externí odkaz:
http://arxiv.org/abs/2305.17573
Autor:
Curtin, Ryan R., Edel, Marcus, Shrit, Omar, Agrawal, Shubham, Basak, Suryoday, Balamuta, James J., Birmingham, Ryan, Dutt, Kartik, Eddelbuettel, Dirk, Garg, Rishabh, Jaiswal, Shikhar, Kaushik, Aakash, Kim, Sangyeon, Mukherjee, Anjishnu, Sai, Nanubala Gnana, Sharma, Nippun, Parihar, Yashwant Singh, Swain, Roshan, Sanderson, Conrad
Publikováno v:
Journal of Open Source Software, Vol. 8, No. 82, 2023
For over 15 years, the mlpack machine learning library has served as a "swiss army knife" for C++-based machine learning. Its efficient implementations of common and cutting-edge machine learning algorithms have been used in a wide variety of scienti
Externí odkaz:
http://arxiv.org/abs/2302.00820
Autor:
Eddelbuettel, Dirk
This note shows how to use Redis cache (near-)real-time market data, and utilise its publish/subscribe ("pub/sub") facility to distribute the data.
Comment: 2 figures
Comment: 2 figures
Externí odkaz:
http://arxiv.org/abs/2203.08323
Autor:
Eddelbuettel, Dirk
This note provides a brief introduction to Redis highlighting its usefulness in multi-lingual statistical computing.
Externí odkaz:
http://arxiv.org/abs/2203.06559
Autor:
Ucar, Iñaki, Eddelbuettel, Dirk
Pre-compiled binary packages provide a convenient way of efficiently distributing software that has been adopted by most Linux package management systems. However, the heterogeneity of the Linux ecosystem, combined with the growing number of R extens
Externí odkaz:
http://arxiv.org/abs/2103.08069
Autor:
Eddelbuettel, Dirk, Barbehenn, Alton
We describe how we both use and extend the PrarieLearn framework by taking advantage of its built-in support for external auto-graders. By using a custom Docker container, we can match our course requirements perfectly. Moreover, by relying on the fl
Externí odkaz:
http://arxiv.org/abs/2003.06500
Autor:
Nüst, Daniel, Eddelbuettel, Dirk, Bennett, Dom, Cannoodt, Robrecht, Clark, Dav, Daroczi, Gergely, Edmondson, Mark, Fay, Colin, Hughes, Ellis, Kjeldgaard, Lars, Lopp, Sean, Marwick, Ben, Nolis, Heather, Nolis, Jacqueline, Ooi, Hong, Ram, Karthik, Ross, Noam, Shepherd, Lori, Sólymos, Péter, Swetnam, Tyson Lee, Turaga, Nitesh, Van Petegem, Charlotte, Williams, Jason, Willis, Craig, Xiao, Nan
Publikováno v:
The R Journal (2020), 12:1, pages 437-461
The Rocker Project provides widely used Docker images for R across different application scenarios. This article surveys downstream projects that build upon the Rocker Project images and presents the current state of R packages for managing Docker im
Externí odkaz:
http://arxiv.org/abs/2001.10641
Autor:
Eddelbuettel, Dirk
Parallel computing has established itself as another standard method for applied research and data analysis. The R system, being internally constrained to mostly singly-threaded operations, can nevertheless be used along with different parallel compu
Externí odkaz:
http://arxiv.org/abs/1912.11144
Autor:
Eddelbuettel, Dirk
We desribe how we extend R with an external C++ code library by using the Rcpp package. Our working example uses the recent machine learning library and application 'Corels' providing optimal yet easily interpretable rule lists whi
Externí odkaz:
http://arxiv.org/abs/1911.06416