cloudml: Interface to the Google Cloud Machine Learning Platform

Interface to the Google Cloud Machine Learning Platform <>, which provides cloud tools for training machine learning models.

Version: 0.6.1
Depends: R (≥ 3.3.0), tfruns (≥ 1.3)
Imports: config, jsonlite, packrat, processx, rprojroot, rstudioapi, tools, utils, withr, yaml
Suggests: tensorflow (≥ 1.4.2), keras (≥ 2.1.2), knitr, testthat
Published: 2019-09-03
DOI: 10.32614/CRAN.package.cloudml
Author: Daniel Falbel [aut, cre], Javier Luraschi [aut], JJ Allaire [aut], Kevin Ushey [aut], RStudio [cph]
Maintainer: Daniel Falbel <daniel at>
License: Apache License 2.0
NeedsCompilation: no
SystemRequirements: Python (>= 2.7.0)
Materials: NEWS
In views: ModelDeployment
CRAN checks: cloudml results


Reference manual: cloudml.pdf
Vignettes: Deploying Models
Getting Started
Google Cloud Storage
Training with CloudML
Hyperparameter Tuning


Package source: cloudml_0.6.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cloudml_0.6.1.tgz, r-oldrel (arm64): cloudml_0.6.1.tgz, r-release (x86_64): cloudml_0.6.1.tgz, r-oldrel (x86_64): cloudml_0.6.1.tgz
Old sources: cloudml archive

Reverse dependencies:

Reverse suggests: tfdeploy


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