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:
tfdeploy_0.6.1.tar.gz
tfdeploy_0.6.1.zip(r-4.7)tfdeploy_0.6.1.zip(r-4.6)tfdeploy_0.6.1.zip(r-4.5)
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✨
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:960b67fe3f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 170 | ||
| source / vignettes | OK | 195 | ||
| linux-release-x86_64 | OK | 159 | ||
| macos-release-arm64 | OK | 131 | ||
| macos-oldrel-arm64 | OK | 413 | ||
| windows-devel | OK | 140 | ||
| windows-release | OK | 200 | ||
| windows-oldrel | OK | 152 | ||
| wasm-release | OK | 116 |
Exports:export_savedmodelload_savedmodelpredict_savedmodelserve_savedmodelview_savedmodel
Dependencies:askpassbackportsbase64enccliconfigcurlfastmapglueherehttpuvhttrjsonlitelaterlatticelifecyclemagrittrMatrixmimeopensslotelpngprocessxpromisespsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapiswaggersystensorflowtfautographtfrunstidyselectvctrswhiskerwithryaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Load a SavedModel | load_savedmodel |
| Predict using a SavedModel | predict_savedmodel |
| Predict using an Exported SavedModel | predict_savedmodel.export_prediction |
| Predict using a Loaded SavedModel | predict_savedmodel.graph_prediction |
| Predict using a Web API | predict_savedmodel.webapi_prediction |
| Serve a SavedModel | serve_savedmodel |