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onnx: R Interface to 'ONNX'

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 TangORCID iD [aut, cre], ONNX Authors [aut, cph], Facebook, Inc. [cph], Microsoft Corporation [cph]
Maintainer:Yuan Tang <terrytangyuan at gmail.com>
BugReports:https://github.com/onnx/onnx-r/issues
License:MIT License + fileLICENSE
URL:https://github.com/onnx/onnx-r
NeedsCompilation:no
Materials:README,NEWS
In views:ModelDeployment
CRAN checks:onnx results

Documentation:

Reference manual:onnx.html ,onnx.pdf
Vignettes:Load and Run an ONNX Model (source,R code)
Creating ONNX Protobuf (source,R code)

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=onnxto link to this page.


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