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authorSébastien Fabbro <bicatali@gentoo.org>2017-08-02 16:25:58 +0000
committerSébastien Fabbro <bicatali@gentoo.org>2017-08-03 17:33:00 +0000
commit0388bc8c10481815b0e692227052c8a8d6970a44 (patch)
tree49d30cbb9e835090a0a489890b0de9220974c6bf /sci-libs/libsvm
parentprofiles: Restrict kde-apps/kalzium[solver] package.use.stable.mask (diff)
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sci-libs/libsvm: add python-3.6, edited tools description, sub-slotted the library
Package-Manager: Portage-2.3.6, Repoman-2.3.3
Diffstat (limited to 'sci-libs/libsvm')
-rw-r--r--sci-libs/libsvm/libsvm-3.22.ebuild4
-rw-r--r--sci-libs/libsvm/metadata.xml14
2 files changed, 9 insertions, 9 deletions
diff --git a/sci-libs/libsvm/libsvm-3.22.ebuild b/sci-libs/libsvm/libsvm-3.22.ebuild
index a87166cdefcc..57d4bbb5185f 100644
--- a/sci-libs/libsvm/libsvm-3.22.ebuild
+++ b/sci-libs/libsvm/libsvm-3.22.ebuild
@@ -3,7 +3,7 @@
EAPI=6
-PYTHON_COMPAT=( python{2_7,3_4,3_5} )
+PYTHON_COMPAT=( python{2_7,3_4,3_5,3_6} )
inherit flag-o-matic java-pkg-opt-2 python-r1 toolchain-funcs
@@ -12,7 +12,7 @@ HOMEPAGE="http://www.csie.ntu.edu.tw/~cjlin/libsvm/"
SRC_URI="http://www.csie.ntu.edu.tw/~cjlin/libsvm/${P}.tar.gz"
LICENSE="BSD"
-SLOT="0"
+SLOT="0/2"
KEYWORDS="~amd64 ~ppc ~ppc64 ~x86 ~amd64-linux ~x86-linux"
IUSE="java openmp python tools"
REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"
diff --git a/sci-libs/libsvm/metadata.xml b/sci-libs/libsvm/metadata.xml
index a6a14ad8fb8b..7ba70023b93f 100644
--- a/sci-libs/libsvm/metadata.xml
+++ b/sci-libs/libsvm/metadata.xml
@@ -6,13 +6,13 @@
<name>Gentoo Science Project</name>
</maintainer>
<longdescription lang="en">
- The LIBSVM library is used to calculate Support Vector Machine
- optimizations with a great variety of options. It includes
- one-class, two-class, multiclass, regression-mode, and probablistic
- output functionality. It is primarily of interest to machine-learning
- researchers and artificial intelligence application developers.
-</longdescription>
+ The LIBSVM library is used to calculate Support Vector Machine
+ optimizations with a great variety of options. It includes
+ one-class, two-class, multiclass, regression-mode, and probablistic
+ output functionality. It is primarily of interest to machine-learning
+ researchers and artificial intelligence application developers.
+ </longdescription>
<use>
- <flag name="tools">Install python based tool scripts</flag>
+ <flag name="tools">Install python based tool scripts for data selection and visualization with <pkg>sci-visualization/gnuplot</pkg></flag>
</use>
</pkgmetadata>