Merge branch 'release/v0.0.1'

.Rbuildignore

@@ -1,2 +1,7 @@
-^.*\.Rproj$
-^\.Rproj\.user$
+^.*\.Rproj$
+^\.Rproj\.user$
+^README\.Rmd$
+^LICENSE\.md$
+vignettes/data
+vignettes/datasets
+notebooks

.Rprofile

@@ -0,0 +1 @@
+source(file.path('..', '..', 'R', 'set_env.R'), chdir = TRUE)

.gitignore

@@ -1,3 +1,13 @@
 .Rproj.user
 .Rhistory
 .RData
+inst/doc
+notebooks
+vignettes/data
+vignettes/datasets
+
+*.Rd
+
+*.pyc
+
+*.html

DESCRIPTION

@@ -1,9 +1,25 @@
 Package: rTorch
-Title: What the Package Does (one line, title case)
-Version: 0.0.0.9000
-Authors@R: person("First", "Last", email = "[email protected]", role = c("aut", "cre"))
-Description: What the package does (one paragraph).
-Depends: R (>= 3.4.3)
-License: What license is it under?
+Title: R bindings to PyTorch
+Version: 0.0.1
+Authors@R: person("Alfonso R.", "Reyes", role = c("aut", "cre"), email = "[email protected]")
+Description: R implementation of Machine Learning platform developed in Python. 
+License: MIT + file LICENSE
 Encoding: UTF-8
 LazyData: true
+Depends: R (>= 3.1)
+Imports: logging,
+    config,
+    reticulate,
+    utils,
+    yaml,
+    methods,
+    R6,
+    rstudioapi (>= 0.7),
+    data.table
+Suggests: 
+    testthat,
+    knitr,
+    rmarkdown
+RoxygenNote: 6.1.1
+URL: https://github.com/f0nzie/rTorch
+VignetteBuilder: knitr

LICENSE

@@ -0,0 +1,2 @@
+YEAR: 2018
+COPYRIGHT HOLDER: Alfonso R. Reyes

LICENSE.md

@@ -0,0 +1,21 @@
+# MIT License
+
+Copyright (c) 2018 Alfonso R. Reyes
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

NAMESPACE

@@ -1,2 +1,83 @@
-# Generated by roxygen2: fake comment so roxygen2 overwrites silently.
-exportPattern("^[^\\.]")
+# Generated by roxygen2: do not edit by hand
+
+S3method("!=",torch.Tensor)
+S3method("&",torch.Tensor)
+S3method("*",torch.Tensor)
+S3method("+",torch.Tensor)
+S3method("-",torch.Tensor)
+S3method("/",torch.Tensor)
+S3method("<",torch.Tensor)
+S3method("<=",torch.Tensor)
+S3method("==",torch.Tensor)
+S3method(">",torch.Tensor)
+S3method(">=",torch.Tensor)
+S3method("[",torch.Tensor)
+S3method("^",torch.Tensor)
+S3method("|",torch.Tensor)
+S3method(.DollarNames,torch.python.platform.flags._FlagValues)
+S3method(dim,torch.Tensor)
+S3method(exp,torch.Tensor)
+S3method(length,torch.Tensor)
+S3method(log,torch.Tensor)
+S3method(log10,torch.Tensor)
+S3method(log2,torch.Tensor)
+S3method(print,pytorch_config)
+S3method(print,torch.Tensor)
+S3method(py_str,torch.python.ops.variables.Variable)
+export("%**%")
+export("%.*%")
+export("%as%")
+export(all_dims)
+export(array_reshape)
+export(dataset_mnist)
+export(dict)
+export(import)
+export(import_builtins)
+export(import_from_path)
+export(iter_next)
+export(iterate)
+export(np)
+export(np_array)
+export(py_eval)
+export(py_get_item)
+export(py_run_string)
+export(py_to_r)
+export(r_to_py)
+export(shape)
+export(torch)
+export(torch_config)
+export(torch_extract_opts)
+export(torch_getLogger)
+export(torch_size)
+export(torch_version)
+export(torchvision)
+export(tuple)
+export(use_condaenv)
+export(use_python)
+export(use_virtualenv)
+import(R6)
+import(logging)
+import(methods)
+import(reticulate)
+importFrom(graphics,par)
+importFrom(graphics,plot)
+importFrom(graphics,points)
+importFrom(reticulate,array_reshape)
+importFrom(reticulate,dict)
+importFrom(reticulate,import)
+importFrom(reticulate,import_from_path)
+importFrom(reticulate,iterate)
+importFrom(reticulate,np_array)
+importFrom(reticulate,py_call)
+importFrom(reticulate,py_capture_output)
+importFrom(reticulate,py_get_attr)
+importFrom(reticulate,py_has_attr)
+importFrom(reticulate,py_is_null_xptr)
+importFrom(reticulate,py_iterator)
+importFrom(reticulate,py_run_file)
+importFrom(reticulate,py_run_string)
+importFrom(reticulate,py_to_r)
+importFrom(reticulate,r_to_py)
+importFrom(reticulate,tuple)
+importFrom(utils,.DollarNames)
+importFrom(utils,str)

NEWS.md

@@ -0,0 +1,11 @@
+# rTorch 0.0.1
+* July 21 2019
+* alpha version
+* first release to Github
+* package coming after publication of `rpystats-apollo11`
+* still examples to be added
+
+
+# rTorch 0.0.0.9000
+
+* Added a `NEWS.md` file to track changes to the package.

R/datasets.R

@@ -0,0 +1,20 @@
+
+
+#' MNIST database of handwritten digits
+#'
+#' Dataset of 60,000 28x28 grayscale images of the 10 digits, along with a test set of 10,000 images.
+#'
+#' @param ntrain number of training samples
+#' @param ntest number of test samples
+#' @param onehot boolean
+#' @family datasets
+#'
+#' @export
+dataset_mnist <- function(ntrain = 60000L, ntest = 10000L, onehot = TRUE) {
+    # import data_utils module
+    python_path <- system.file("python", package = "rTorch")
+    tools <- import_from_path("torchtools", path = python_path)
+    tools$data_util$load_mnist(ntrain, ntest, onehot)
+}
+
+