R Interface to 'ONNX' - Open Neural Network Exchange <https://onnx.ai/>. 'ONNX' provides an open source format for machine learning models. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.
| Version: | 0.0.3 |
| Depends: | R (≥ 3.1) |
| Imports: | reticulate (≥ 1.4) |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2021-04-16 |
| DOI: | 10.32614/CRAN.package.onnx |
| Author: | Yuan Tang |
| Maintainer: | Yuan Tang <terrytangyuan at gmail.com> |
| BugReports: | https://github.com/onnx/onnx-r/issues |
| License: | MIT License + file LICENSE |
| URL: | https://github.com/onnx/onnx-r |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| In views: | ModelDeployment |
| CRAN checks: | onnx results |
| Reference manual: | onnx.html , onnx.pdf |
| Vignettes: |
Load and Run an ONNX Model (source, R code) Creating ONNX Protobuf (source, R code) |
| Package source: | onnx_0.0.3.tar.gz |
| Windows binaries: | r-devel: onnx_0.0.3.zip, r-release: onnx_0.0.3.zip, r-oldrel: onnx_0.0.3.zip |
| macOS binaries: | r-release (arm64): onnx_0.0.3.tgz, r-oldrel (arm64): onnx_0.0.3.tgz, r-release (x86_64): onnx_0.0.3.tgz, r-oldrel (x86_64): onnx_0.0.3.tgz |
| Old sources: | onnx archive |
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