cloudml: Interface to the Google Cloud Machine Learning Platform

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

Version: 0.6.1
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
Author: Daniel Falbel [aut, cre], Javier Luraschi [aut], JJ Allaire [aut], Kevin Ushey [aut], RStudio [cph]
Maintainer: Daniel Falbel <daniel at rstudio.com>
License: Apache License 2.0
NeedsCompilation: no
SystemRequirements: Python (>= 2.7.0)
Materials: NEWS
In views: ModelDeployment
CRAN checks: cloudml results

Documentation:

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

Downloads:

Package source: cloudml_0.6.1.tar.gz
Windows binaries: r-devel: cloudml_0.6.1.zip, r-release: cloudml_0.6.1.zip, r-oldrel: cloudml_0.6.1.zip
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
Old sources: cloudml archive

Reverse dependencies:

Reverse suggests: tfdeploy

Linking:

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