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>).


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("cuda.ml")

0.3.1 by Yitao Li, a month ago


https://mlverse.github.io/cuda.ml/


Report a bug at https://github.com/mlverse/cuda.ml/issues


Browse source code at https://github.com/cran/cuda.ml


Authors: Yitao Li [aut, cph, cre] , Tomasz Kalinowski [cph, ctb] , Daniel Falbel [cph, ctb] , RStudio [cph, fnd]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports ellipsis, hardhat, parsnip, Rcpp, rlang

Suggests callr, glmnet, MASS, magrittr, mlbench, purrr, reticulate, testthat, xgboost

Linking to Rcpp

System requirements: RAPIDS cuML (see https://rapids.ai/start.html)


See at CRAN