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.


cloudml 0.6.0 (unreleased)

  • Fixed gcloud_install() to properly execute gcloud init in RStudio terminal under Linux (#177).

  • Default to the TensorFlow 1.9 runtime. Previous runtimes can be used through runtimeVersion in config.yml.

  • Fixed gs_rsync() to avoid creating a local destination directory when destination uses remote storage (#172).

  • Improved terminal support in Windows to launch by default correct shell.

cloudml 0.5.1

  • Added support for dry_run in cloudml_train.

  • Fixed CRAN results for cloudml.

  • Fixed packrat package missing error (#168).

cloudml 0.5.0

  • First release to CRAN.

Reference manual

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0.6.1 by Daniel Falbel, 2 years ago

Browse source code at

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

Documentation:   PDF Manual  

Task views: Model Deployment with R

Apache License 2.0 license

Imports config, jsonlite, packrat, processx, rprojroot, rstudioapi, tools, utils, withr, yaml

Depends on tfruns

Suggests tensorflow, keras, knitr, testthat

System requirements: Python (>= 2.7.0)

Suggested by tfdeploy.

See at CRAN