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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
DOI: 10.32614/CRAN.package.tfdeploy
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

Documentation:

Reference manual: tfdeploy.pdf
Vignettes: Deploying TensorFlow Models
Using Saved Models from R

Downloads:

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
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tfdeploy to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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