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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