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authorLudovic Courtès <ludo@gnu.org>2016-01-03 14:53:03 +0100
committerLudovic Courtès <ludo@gnu.org>2016-01-03 14:53:03 +0100
commit53334dd6e9e296e17110ebcd2b1f93f117ffe36a (patch)
tree2653db2eab9a204dab892ea8b6812cadf7209e84 /gnu/packages/machine-learning.scm
parent1575dcd134f4fae7255787293f4988bbd043de95 (diff)
parent51385362f76e2f823ac8d8cf720d06c386504069 (diff)
downloadpatches-53334dd6e9e296e17110ebcd2b1f93f117ffe36a.tar
patches-53334dd6e9e296e17110ebcd2b1f93f117ffe36a.tar.gz
Merge branch 'master' into core-updates
Diffstat (limited to 'gnu/packages/machine-learning.scm')
-rw-r--r--gnu/packages/machine-learning.scm33
1 files changed, 33 insertions, 0 deletions
diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index bfa88ac964..4bc37ad86d 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -23,6 +23,7 @@
#:use-module (guix download)
#:use-module (guix build-system cmake)
#:use-module (guix build-system gnu)
+ #:use-module (guix build-system r)
#:use-module (gnu packages)
#:use-module (gnu packages boost)
#:use-module (gnu packages compression)
@@ -290,3 +291,35 @@ combine multiple data representations, algorithm classes, and general purpose
tools. This enables both rapid prototyping of data pipelines and extensibility
in terms of new algorithms.")
(license license:gpl3+)))
+
+(define-public r-adaptivesparsity
+ (package
+ (name "r-adaptivesparsity")
+ (version "1.4")
+ (source (origin
+ (method url-fetch)
+ (uri (cran-uri "AdaptiveSparsity" version))
+ (sha256
+ (base32
+ "1az7isvalf3kmdiycrfl6s9k9xqk22k1mc6rh8v0jmcz402qyq8z"))))
+ (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-rcpp" ,r-rcpp)
+ ("r-rcpparmadillo" ,r-rcpparmadillo)))
+ (home-page "http://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+)))