tfdeploy: Deploy 'TensorFlow' Models

Tools to deploy 'TensorFlow' <https://www.tensorflow.org/> models across multiple services. Currently, it provides a local server for testing 'cloudml' compatible services.

Version: 0.6.1
Imports: httpuv, httr, jsonlite, magrittr, reticulate, swagger, tensorflow
Suggests: cloudml, knitr, pixels, processx, testthat, yaml, stringr
Published: 2019-06-14
Author: Javier Luraschi [aut, ctb], Daniel Falbel [cre, ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel at rstudio.com>
License: Apache License 2.0
NeedsCompilation: no
Materials: README
In views: ModelDeployment
CRAN checks: tfdeploy results

Downloads:

Reference manual: tfdeploy.pdf
Vignettes: Deploying TensorFlow Models
Using Saved Models from R
Package source: tfdeploy_0.6.1.tar.gz
Windows binaries: r-devel: tfdeploy_0.6.1.zip, r-release: tfdeploy_0.6.1.zip, r-oldrel: tfdeploy_0.6.1.zip
OS X binaries: r-release: tfdeploy_0.6.1.tgz, r-oldrel: tfdeploy_0.6.1.tgz
Old sources: tfdeploy archive

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