DESCRIPTION

Package: rTorch
Title: R Bindings to 'PyTorch'
Version: 0.4.2
Authors@R: c(
    person("Alfonso R.", "Reyes", role = c("aut", "cre", "cph"), email = "alfonso.reyes@oilgainsanalytics.com")
    )
Description: '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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1)
Imports: 
    reticulate (>= 1.10),
    jsonlite (>= 1.2),
    utils,
    methods,
    rstudioapi (>= 0.7),
Suggests: 
    testthat,
    knitr,
    rmarkdown
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"
RoxygenNote: 7.1.1
Roxygen: list(markdown = TRUE)
URL: https://github.com/f0nzie/rTorch
BugReports: https://github.com/f0nzie/rTorch/issues
VignetteBuilder: knitr