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' 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 to perform calculations in CPUs as well as 'GPUs' to accelerate the process.

Version: 0.0.3
Depends: R (≥ 3.1)
Imports: logging, reticulate, jsonlite (≥ 1.2), utils, methods, R6, rstudioapi (≥ 0.7), data.table
Suggests: testthat, knitr, rmarkdown
Published: 2019-08-05
Author: Alfonso R. Reyes [aut, cre, cph], Daniel Falbel [ctb, cph], JJ Allaire [ctb, cph]
Maintainer: Alfonso R. Reyes <alfonso.reyes at oilgainsanalytics.com>
License: MIT + file LICENSE
URL: https://github.com/f0nzie/rTorch
NeedsCompilation: no
SystemRequirements: PyTorch (https://pytorch.org/)
Materials: README NEWS
CRAN checks: rTorch results


Reference manual: rTorch.pdf
Package source: rTorch_0.0.3.tar.gz
Windows binaries: r-prerelease: rTorch_0.0.3.zip, r-release: rTorch_0.0.3.zip, r-oldrel: rTorch_0.0.3.zip
macOS binaries: r-prerelease: rTorch_0.0.3.tgz, r-release: rTorch_0.0.3.tgz, r-oldrel: rTorch_0.0.3.tgz


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