tfdeploy: Deploy 'TensorFlow' Models

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

Version: 0.6.1
Imports: httpuv, httr, jsonlite, magrittr, reticulate, swagger, tensorflow
Suggests: cloudml, knitr, pixels, processx, testthat, yaml, stringr
Published: 2019-06-14
DOI: 10.32614/CRAN.package.tfdeploy
Author: Javier Luraschi [aut, ctb], Daniel Falbel [cre, ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel at>
License: Apache License 2.0
NeedsCompilation: no
Materials: README
In views: ModelDeployment
CRAN checks: tfdeploy results


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:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): tfdeploy_0.6.1.tgz, r-oldrel (arm64): tfdeploy_0.6.1.tgz, r-release (x86_64): tfdeploy_0.6.1.tgz, r-oldrel (x86_64): tfdeploy_0.6.1.tgz
Old sources: tfdeploy archive


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