Interface to the Google Cloud Machine Learning Platform [R package cloudml version 0.7.1]

cloudml: Interface to the Google Cloud Machine Learning Platform

Interface to the Google Cloud Machine Learning Platform <https://cloud.google.com/vertex-ai>, which provides cloud tools for training machine learning models.

Version: 0.7.1

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, rmarkdown, testthat

Published: 2025年08月18日

DOI: 10.32614/CRAN.package.cloudml

Author: Tomasz Kalinowski [cre], Daniel Falbel [aut], Javier Luraschi [aut], JJ Allaire [aut], Kevin Ushey [aut], RStudio [cph]

Maintainer: Tomasz Kalinowski <tomasz at posit.co>

BugReports: https://github.com/rstudio/cloudml/issues

License: Apache License 2.0

URL: https://github.com/rstudio/cloudml

NeedsCompilation: no

SystemRequirements: Python (>= 2.7.0)

Materials: NEWS

In views: ModelDeployment

CRAN checks: cloudml results

Documentation:

Reference manual: cloudml.html , cloudml.pdf

Vignettes: Deploying Models (source, R code)
Getting Started (source, R code)
Google Cloud Storage (source, R code)
Training with CloudML (source, R code)
Hyperparameter Tuning (source, R code)

Downloads:

Package source: cloudml_0.7.1.tar.gz

Windows binaries: r-devel: cloudml_0.7.1.zip, r-release: cloudml_0.7.1.zip, r-oldrel: cloudml_0.7.1.zip

macOS binaries: r-release (arm64): cloudml_0.7.1.tgz, r-oldrel (arm64): cloudml_0.7.1.tgz, r-release (x86_64): cloudml_0.7.1.tgz, r-oldrel (x86_64): cloudml_0.7.1.tgz

Old sources: cloudml archive

Reverse dependencies:

Reverse suggests: tfdeploy

Linking:

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