'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 |
| Reference manual: | rTorch.pdf |
| Vignettes: |
Installation |
| 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-devel (arm64): rTorch_0.4.2.tgz, r-release (arm64): rTorch_0.4.2.tgz, r-oldrel (arm64): rTorch_0.4.2.tgz, r-devel (x86_64): 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 |
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