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authorzimoun <zimon.toutoune@gmail.com>2020-09-11 20:08:39 +0200
committerRicardo Wurmus <rekado@elephly.net>2020-09-11 21:48:38 +0200
commitd3d38bd8f1dfe8d2968c54f081fa6d6c1488a6f1 (patch)
tree5834ce067e9d245ad0b92a32676ecdff6e9cd15c
parentb17ace24cab9724dd43484df2e28432e51755759 (diff)
downloadguix-d3d38bd8f1dfe8d2968c54f081fa6d6c1488a6f1.tar.gz
gnu: r-adaptivesparsity: Move to (gnu packages cran).
* gnu/packages/machine-learning.scm (r-adaptivesparsity): Move from here...
* gnu/packages/cran.scm (r-adaptivesparsity): ...to here.

Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
-rw-r--r--gnu/packages/cran.scm36
-rw-r--r--gnu/packages/machine-learning.scm36
2 files changed, 36 insertions, 36 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index f3693fbec5..ddbe56e52f 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -23641,6 +23641,42 @@ function that determines the current environment and returns the appropriate
 value.")
     (license license:gpl3)))
 
+(define-public r-adaptivesparsity
+  (package
+    (name "r-adaptivesparsity")
+    (version "1.6")
+    (source (origin
+              (method url-fetch)
+              (uri (cran-uri "AdaptiveSparsity" version))
+              (sha256
+               (base32
+                "0imr5m8mll9j6n4icsv6z9rl5kbnwsp9wvzrg7n90nnmcxq2cz91"))))
+    (properties
+     `((upstream-name . "AdaptiveSparsity")))
+    (build-system r-build-system)
+    (arguments
+     `(#:phases
+       (modify-phases %standard-phases
+         (add-after 'unpack 'link-against-armadillo
+           (lambda _
+             (substitute* "src/Makevars"
+               (("PKG_LIBS=" prefix)
+                (string-append prefix "-larmadillo"))))))))
+    (propagated-inputs
+     `(("r-mass" ,r-mass)
+       ("r-matrix" ,r-matrix)
+       ("r-rcpp" ,r-rcpp)
+       ("r-rcpparmadillo" ,r-rcpparmadillo)))
+    (inputs
+     `(("armadillo" ,armadillo)))
+    (home-page "https://cran.r-project.org/web/packages/AdaptiveSparsity")
+    (synopsis "Adaptive sparsity models")
+    (description
+     "This package implements the Figueiredo machine learning algorithm for
+adaptive sparsity and the Wong algorithm for adaptively sparse gaussian
+geometric models.")
+    (license license:lgpl3+)))
+
 (define-public r-workflows
   (package
     (name "r-workflows")
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index 05646dd770..89345fa5fd 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -660,42 +660,6 @@ synchronization, thread-safety, concurrent data structures, and non-blocking
 I/O.")
     (license license:asl2.0)))
 
-(define-public r-adaptivesparsity
-  (package
-    (name "r-adaptivesparsity")
-    (version "1.6")
-    (source (origin
-              (method url-fetch)
-              (uri (cran-uri "AdaptiveSparsity" version))
-              (sha256
-               (base32
-                "0imr5m8mll9j6n4icsv6z9rl5kbnwsp9wvzrg7n90nnmcxq2cz91"))))
-    (properties
-     `((upstream-name . "AdaptiveSparsity")))
-    (build-system r-build-system)
-    (arguments
-     `(#:phases
-       (modify-phases %standard-phases
-         (add-after 'unpack 'link-against-armadillo
-           (lambda _
-             (substitute* "src/Makevars"
-               (("PKG_LIBS=" prefix)
-                (string-append prefix "-larmadillo"))))))))
-    (propagated-inputs
-     `(("r-mass" ,r-mass)
-       ("r-matrix" ,r-matrix)
-       ("r-rcpp" ,r-rcpp)
-       ("r-rcpparmadillo" ,r-rcpparmadillo)))
-    (inputs
-     `(("armadillo" ,armadillo)))
-    (home-page "https://cran.r-project.org/web/packages/AdaptiveSparsity")
-    (synopsis "Adaptive sparsity models")
-    (description
-     "This package implements the Figueiredo machine learning algorithm for
-adaptive sparsity and the Wong algorithm for adaptively sparse gaussian
-geometric models.")
-    (license license:lgpl3+)))
-
 (define-public gemmlowp-for-tensorflow
   ;; The commit hash is taken from "tensorflow/workspace.bzl".
   (let ((commit "38ebac7b059e84692f53e5938f97a9943c120d98")