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 ORCID iD [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

Downloads:

Reference manual: cuml4r.pdf
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-release (x86_64): cuml4r_0.1.0.tgz, r-oldrel: cuml4r_0.1.0.tgz

Linking:

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