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.html ,tfdeploy.pdf |
| Vignettes: | Deploying TensorFlow Models (source,R code) Using Saved Models from R (source,R code) |
| 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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