cloudml-package {cloudml} | R Documentation

## 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 daniel@rstudio.com

Authors:

- Javier Luraschi

- JJ Allaire

- Kevin Ushey

Other contributors:

- RStudio [copyright holder]

### References

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

[Package cloudml version 0.6.1 Index]