cuda.ml: R Interface for the RAPIDS cuML Suite of Libraries
R interface for RAPIDS cuML (<https://github.com/rapidsai/cuml>), a suite of GPU-accelerated machine learning libraries powered by CUDA (<https://en.wikipedia.org/wiki/CUDA>).
| Version: | 0.3.2 |
| Depends: | R (≥ 3.2) |
| Imports: | ellipsis, hardhat, parsnip, Rcpp (≥ 1.0.6), rlang (≥ 0.1.4) |
| LinkingTo: | Rcpp |
| Suggests: | callr, glmnet, MASS, magrittr, mlbench, purrr, reticulate, testthat, xgboost |
| OS_type: | unix |
| Published: | 2022-01-08 |
| Author: | Yitao Li  [aut,
cph],
Tomasz Kalinowski [cph, ctb],
Daniel Falbel [aut, cre, cph],
RStudio [cph, fnd] |
| Maintainer: | Daniel Falbel <daniel at rstudio.com> |
| BugReports: | https://github.com/mlverse/cuda.ml/issues |
| License: | MIT + file LICENSE |
| URL: | https://mlverse.github.io/cuda.ml/ |
| NeedsCompilation: | yes |
| SystemRequirements: | RAPIDS cuML (see https://rapids.ai/start.html) |
| CRAN checks: | cuda.ml results |
Documentation:
| Reference manual: | cuda.ml.pdf |
Downloads:
| Package source: | cuda.ml_0.3.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): cuda.ml_0.3.2.tgz, r-oldrel (arm64): cuda.ml_0.3.2.tgz, r-release (x86_64): cuda.ml_0.3.2.tgz, r-oldrel (x86_64): cuda.ml_0.3.2.tgz |
| Old sources: | cuda.ml archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=cuda.ml to link to this page.