'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-devel: rTorch_0.0.3.zip, r-release: rTorch_0.0.3.zip, r-oldrel: rTorch_0.0.3.zip |
| macOS binaries: | r-release: rTorch_0.0.3.tgz, r-oldrel: rTorch_0.0.3.tgz |
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