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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 |
| 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 |
| 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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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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