Package: tfdeploy 0.6.1

Daniel Falbel

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.

Authors:Javier Luraschi [aut, ctb], Daniel Falbel [cre, ctb], RStudio [cph]

tfdeploy_0.6.1.tar.gz
tfdeploy_0.6.1.zip(r-4.7-any)tfdeploy_0.6.1.zip(r-4.6-any)tfdeploy_0.6.1.zip(r-4.5-any)
tfdeploy_0.6.1.tgz(r-4.6-any)tfdeploy_0.6.1.tgz(r-4.5-any)
tfdeploy_0.6.1.tar.gz(r-4.7-any)tfdeploy_0.6.1.tar.gz(r-4.6-any)
tfdeploy_0.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tfdeploy/json (API)

# Install 'tfdeploy' in R:
install.packages('tfdeploy', repos = c('https://dfalbel.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.68 score 48 scripts 293 downloads 5 exports 42 dependencies

Last updated from:960b67fe3f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK161
source / vignettesOK194
linux-releaseOK158
macos-releaseOK122
macos-oldrelOK116
windows-develOK140
windows-releaseOK186
windows-oldrelOK110
wasm-releaseOK125

Exports:export_savedmodelload_savedmodelpredict_savedmodelserve_savedmodelview_savedmodel

Dependencies:askpassbackportsbase64enccliconfigcurlfastmapglueherehttpuvhttrjsonlitelaterlatticelifecyclemagrittrMatrixmimeopensslotelpngprocessxpromisespsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapiswaggersystensorflowtfautographtfrunstidyselectvctrswhiskerwithryaml

Deploying TensorFlow Models
Overview | Getting Started | MNIST Model | Exporting the Model | Using the Exported Model | Deploying the Model | Model Export | keras | tfestimators | tensorflow | Model Deployment | CloudML | RStudio Connect | TensorFlow Serving
Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2019-02-05
Started: 2019-02-05

Using Saved Models
Overview | Example | Model Representations | What represenation should I use?
Rendered fromsaved_models.Rmdusingknitr::rmarkdown

Last update: 2019-02-05
Started: 2019-02-05

Readme and manuals

Help Manual

Help pageTopics
Load a SavedModelload_savedmodel
Predict using a SavedModelpredict_savedmodel
Predict using an Exported SavedModelpredict_savedmodel.export_prediction
Predict using a Loaded SavedModelpredict_savedmodel.graph_prediction
Predict using a Web APIpredict_savedmodel.webapi_prediction
Serve a SavedModelserve_savedmodel