Interface to the Google Cloud Machine Learning Platform <https://cloud.google.com/ml-engine>, which provides cloud tools for training machine learning models.
| Version: | 0.5.1 |
| Depends: | R (≥ 3.3.0), tfruns (≥ 1.3) |
| Imports: | jsonlite, packrat, processx, rprojroot, rstudioapi, tools, utils, withr, yaml |
| Suggests: | tensorflow (≥ 1.4.2), keras (≥ 2.1.2), knitr, testthat |
| Published: | 2018-06-12 |
| Author: | Javier Luraschi [aut, cre], JJ Allaire [aut], Kevin Ushey [aut], RStudio [cph] |
| Maintainer: | Javier Luraschi <javier at rstudio.com> |
| License: | Apache License 2.0 |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 2.7.0) |
| Materials: | NEWS |
| CRAN checks: | cloudml results |
| Reference manual: | cloudml.pdf |
| Vignettes: |
Deploying Models Getting Started Google Cloud Storage Training with CloudML Hyperparameter Tuning |
| Package source: | cloudml_0.5.1.tar.gz |
| Windows binaries: | r-devel: cloudml_0.5.1.zip, r-release: cloudml_0.5.1.zip, r-oldrel: cloudml_0.5.1.zip |
| OS X binaries: | r-release: cloudml_0.5.1.tgz, r-oldrel: cloudml_0.5.1.tgz |
| Old sources: | cloudml archive |
Please use the canonical form https://CRAN.R-project.org/package=cloudml to link to this page.