cuml4r: R Interface for the RAPIDS cuML Suite of Libraries
The purpose of 'cuml4r' is to provide a simple and intuitive R interface for cuML (<https://github.com/rapidsai/cuml>). CuML is a suite of GPU-accelerated machine learning libraries powered by CUDA (<https://en.wikipedia.org/wiki/CUDA>).
| Version: | 0.1.0 |
| Imports: | magrittr, Rcpp (≥ 1.0.6), rlang (≥ 0.1.4), zeallot (≥ 0.1.0) |
| LinkingTo: | Rcpp |
| Suggests: | MASS, purrr |
| OS_type: | unix |
| Published: | 2021-07-26 |
| Author: | Yitao Li  [aut,
cre] |
| Maintainer: | Yitao Li <yitao at rstudio.com> |
| License: | Apache License (≥ 2.0) |
| NeedsCompilation: | yes |
| SystemRequirements: | RAPIDS cuML (see https://rapids.ai/start.html) |
| CRAN checks: | cuml4r results |
Documentation:
| Reference manual: | cuml4r.pdf |
Downloads:
| Package source: | cuml4r_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): cuml4r_0.1.0.tgz, r-oldrel (arm64): cuml4r_0.1.0.tgz, r-release (x86_64): cuml4r_0.1.0.tgz, r-oldrel (x86_64): cuml4r_0.1.0.tgz |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=cuml4r to link to this page.