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:

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