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rTorch: R Bindings to 'PyTorch'

'R' implementation and interface of the Machine Learning platform 'PyTorch' <https://pytorch.org/> developed in 'Python'. It requires a 'conda' environment with 'torch' and 'torchvision' Python packages to provide 'PyTorch' functions, methods and classes. The key object in 'PyTorch' is the tensor which is in essence a multidimensional array. These tensors are fairly flexible in performing calculations in CPUs as well as 'GPUs' to accelerate tensor operations.

Version: 0.4.2
Depends: R (≥ 3.1)
Imports: reticulate (≥ 1.10), jsonlite (≥ 1.2), utils, methods, rstudioapi (≥ 0.7)
Suggests: testthat, knitr, rmarkdown
Published: 2020-10-12
DOI: 10.32614/CRAN.package.rTorch
Author: Alfonso R. Reyes [aut, cre, cph]
Maintainer: Alfonso R. Reyes <alfonso.reyes at oilgainsanalytics.com>
BugReports: https://github.com/f0nzie/rTorch/issues
License: MIT + file LICENSE
URL: https://github.com/f0nzie/rTorch
NeedsCompilation: no
SystemRequirements: "conda (python>=3.6 pytorch torchvision cpuonly numpy ( >= 1.14.0) matplotlib pandas -c pytorch); python-minimal, pandoc pandoc-citeproc, qpdf; Python (>=3.6), pytorch (>=1.4), torchvision, cpuonly, numpy ( >= 1.14.0); pandoc (>= 2.0), qpdf ( >= 7.0) on Solaris"
Materials: README NEWS
CRAN checks: rTorch results

Documentation:

Reference manual: rTorch.pdf
Vignettes: Installation

Downloads:

Package source: rTorch_0.4.2.tar.gz
Windows binaries: r-devel: rTorch_0.4.2.zip, r-release: rTorch_0.4.2.zip, r-oldrel: rTorch_0.4.2.zip
macOS binaries: r-release (arm64): rTorch_0.4.2.tgz, r-oldrel (arm64): rTorch_0.4.2.tgz, r-release (x86_64): rTorch_0.4.2.tgz, r-oldrel (x86_64): rTorch_0.4.2.tgz
Old sources: rTorch archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.