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.">

rTorch: R Bindings to 'PyTorch' (original) (raw)

'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
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

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