tfdeploy: Deploy 'TensorFlow' Models

Tools to deploy 'TensorFlow' <> models across multiple services. Currently, it provides a local server for testing 'cloudml' compatible services.

Version: 0.6.0
Imports: httpuv, httr, jsonlite, magrittr, reticulate, swagger, tensorflow
Suggests: cloudml, knitr, pixels, processx, testthat, yaml
Published: 2019-02-05
Author: Javier Luraschi [aut, cre], RStudio [cph]
Maintainer: Javier Luraschi <javier at>
License: Apache License 2.0
NeedsCompilation: no
Materials: README
CRAN checks: tfdeploy results


Reference manual: tfdeploy.pdf
Vignettes: Deploying TensorFlow Models
Using Saved Models from R
Package source: tfdeploy_0.6.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: tfdeploy_0.6.0.tgz, r-oldrel: tfdeploy_0.6.0.tgz


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