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| author |   Sébastien Fabbro <bicatali@gentoo.org> | 2017-08-02 16:25:58 +0000 |
|---|---|---|
| committer | Sébastien Fabbro <bicatali@gentoo.org> | 2017-08-03 17:33:00 +0000 |
| commit | 0388bc8c10481815b0e692227052c8a8d6970a44 (patch) | |
| tree | 49d30cbb9e835090a0a489890b0de9220974c6bf | |
| parent | profiles: Restrict kde-apps/kalzium[solver] package.use.stable.mask (diff) | |
| download | gentoo-0388bc8c10481815b0e692227052c8a8d6970a44.tar.gz gentoo-0388bc8c10481815b0e692227052c8a8d6970a44.tar.bz2 gentoo-0388bc8c10481815b0e692227052c8a8d6970a44.zip | |
sci-libs/libsvm: add python-3.6, edited tools description, sub-slotted the library
Package-Manager: Portage-2.3.6, Repoman-2.3.3
| -rw-r--r-- | sci-libs/libsvm/libsvm-3.22.ebuild | 4 | ||||
| -rw-r--r-- | sci-libs/libsvm/metadata.xml | 14 |
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> |