cloudml-package: Interface to the Google Cloud Machine Learning Platform

In cloudml: Interface to the Google Cloud Machine Learning Platform

Description

The cloudml package provides an R interface to Google Cloud Machine Learning Engine, a managed service that enables:

• Scalable training of models built with the keras, tfestimators, and tensorflow R packages.

• On-demand access to training on GPUs, including the new Tesla P100 GPUs from NVIDIA®.

• Hyperparameter tuning to optimize key attributes of model architectures in order to maximize predictive accuracy.

• Deployment of trained models to the Google global prediction platform that can support thousands of users and TBs of data.

Details

CloudML is a managed service where you pay only for the hardware resources that you use. Prices vary depending on configuration (e.g. CPU vs. GPU vs. multiple GPUs). See https://cloud.google.com/ml-engine/pricing for additional details.

For documentation on using the R interface to CloudML see the package website at https://tensorflow.rstudio.com/tools/cloudml/

Author(s)

Maintainer: Daniel Falbel [e-mail]

Authors:

• Javier Luraschi

• JJ Allaire

• Kevin Ushey

Other contributors:

• RStudio [copyright holder]

References

https://tensorflow.rstudio.com/tools/cloudml/

cloudml documentation built on Sept. 4, 2019, 1:04 a.m.