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 Tang ORCID 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 + file LICENSE
URL: https://github.com/onnx/onnx-r
NeedsCompilation: no
Materials: README NEWS
In views: ModelDeployment
CRAN checks: onnx results


Reference manual: onnx.pdf
Vignettes: Load and Run an ONNX Model
Creating ONNX Protobuf


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


Please use the canonical form https://CRAN.R-project.org/package=onnx to link to this page.