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authorSebastien Fabbro <bicatali@gentoo.org>2012-12-06 20:36:37 +0000
committerSebastien Fabbro <bicatali@gentoo.org>2012-12-06 20:36:37 +0000
commit05f1ea062f46d8c26d8042c6d3259f31f12ca55c (patch)
treea11d405a38334c1626fcba52d41cfa1fde4c56fa /sci-mathematics/mlpy
parentInitial import (diff)
downloadhistorical-05f1ea062f46d8c26d8042c6d3259f31f12ca55c.tar.gz
historical-05f1ea062f46d8c26d8042c6d3259f31f12ca55c.tar.bz2
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Keyword x86, amd64-linux and x86-linux. Added sci as herd maintainership
Package-Manager: portage-2.2.01.21313-prefix/cvs/Linux x86_64 Manifest-Sign-Key: 0x13CB1360
Diffstat (limited to 'sci-mathematics/mlpy')
-rw-r--r--sci-mathematics/mlpy/ChangeLog7
-rw-r--r--sci-mathematics/mlpy/Manifest18
-rw-r--r--sci-mathematics/mlpy/metadata.xml15
-rw-r--r--sci-mathematics/mlpy/mlpy-3.5.0.ebuild6
4 files changed, 33 insertions, 13 deletions
diff --git a/sci-mathematics/mlpy/ChangeLog b/sci-mathematics/mlpy/ChangeLog
index 490b111515b7..e739bcdae166 100644
--- a/sci-mathematics/mlpy/ChangeLog
+++ b/sci-mathematics/mlpy/ChangeLog
@@ -1,6 +1,10 @@
# ChangeLog for sci-mathematics/mlpy
# Copyright 1999-2012 Gentoo Foundation; Distributed under the GPL v2
-# $Header: /var/cvsroot/gentoo-x86/sci-mathematics/mlpy/ChangeLog,v 1.1 2012/05/11 16:11:40 dberkholz Exp $
+# $Header: /var/cvsroot/gentoo-x86/sci-mathematics/mlpy/ChangeLog,v 1.2 2012/12/06 20:36:31 bicatali Exp $
+
+ 06 Dec 2012; SĂ©bastien Fabbro <bicatali@gentoo.org> metadata.xml,
+ mlpy-3.5.0.ebuild:
+ Keyword x86, amd64-linux and x86-linux. Added sci as herd maintainership
*mlpy-3.5.0 (11 May 2012)
@@ -8,4 +12,3 @@
+metadata.xml:
New package: Machine Learning PYthon (mlpy) is a high-performance Python
library for predictive modeling.
-
diff --git a/sci-mathematics/mlpy/Manifest b/sci-mathematics/mlpy/Manifest
index a5a01fb3343d..2feaf1424ee7 100644
--- a/sci-mathematics/mlpy/Manifest
+++ b/sci-mathematics/mlpy/Manifest
@@ -1,4 +1,14 @@
-DIST mlpy-3.5.0.tar.gz 1961206 RMD160 9dfb6387214859993d66db9108d07340aacb35c6 SHA1 32f986f7f0f7cce5c773d2909d34705eab39df16 SHA256 344fa75fbf9f76af72f6a346d5309613defc4d244bac13c218e509a51d68bf6a
-EBUILD mlpy-3.5.0.ebuild 806 RMD160 97a0255d3fa3e90ea335ecca0428e44125de426e SHA1 2e91def08548ddd78a4c55dc4a6a1f197d046f8a SHA256 35f7b12ab5ee06d8204676a4a418775adf5cbdf52acf25c88f16498c5f961185
-MISC ChangeLog 446 RMD160 4f11a8f801affc834794867892e2bd84077183eb SHA1 1338dafa45658a1ee1f5e60fbe2d3ba26862a185 SHA256 ba8ba7d573aabb647dd646ee03c53209ea2cd3e34fc88603c80f4129c0515551
-MISC metadata.xml 237 RMD160 03229478f7036946480352eea660d1e3fbe17c57 SHA1 a6c8ec7a69ee50f445c477e9da7158ec86c9f983 SHA256 f3c24a77daf83f9fcc5a23a96a5c6942f8f4e91538e014a0976141e6b0c0bbee
+-----BEGIN PGP SIGNED MESSAGE-----
+Hash: SHA256
+
+DIST mlpy-3.5.0.tar.gz 1961206 SHA256 344fa75fbf9f76af72f6a346d5309613defc4d244bac13c218e509a51d68bf6a SHA512 b6b3cf6e1d47fe58d68da81752ce9324e78a97c9fc341c93db7b2ea0c5d1730fae9535b69671fda13cb012ab0173951768c1601f2b4ad678a6065c018b34eb0f WHIRLPOOL 531cf00f31e8abb72d4d882aa41379d1214f17f04c028922f084756059d471c3e0ddead82d089262e2855d843e8e8e96233bc06937870e6f1f589906889a756f
+EBUILD mlpy-3.5.0.ebuild 798 SHA256 9421d9f4a16aa39c1368d16454b5925def0a00f4afb8cdb9a463280c2ae84c20 SHA512 734bf763693499495f8b34d8775a0aa545162a50018bbfb408527e2fd098a872ef97ccdf947d8a7fa1ceaaab05b7dc094c56ec2747c857424d70cbe292d4b9d6 WHIRLPOOL 1056ad89da41e207f028c1f533ceaec3645e4f19c0624667bc434264c0c6644d647a817dbd1c11ee7792826fc29d8b45a186e61e511ee90b8b04f06e8bc0a2fe
+MISC ChangeLog 610 SHA256 3a2ae9926110de5f0460aeb4dcde7d37edc51c14f72c19e3ba62515ddf191126 SHA512 56d048f4d1861a62559894782654f9e29f215a73731a77fbca9cd52a73afd9698ade04daa9fbaf6e69cd0b5d187c5efe57c3c8e4ce8b9187f61d1853745d1c44 WHIRLPOOL 7d76d62eace8f2cf6aa994efd8ba772d3ca1c55700a8b660f84297d0ffed2abbbaea3a2dacf7282ec93683833c8d22111898ebb5a96d0243df159f49cf704b5e
+MISC metadata.xml 549 SHA256 eef022b8c043ecf88ae6949f11a470288c6dab150aa01a8d686a9f155551bc79 SHA512 2e020062e7881300755b646ec41fc6ae5bf0d96de2b0e67cfdd10f5c3310ffba69447f5cf6e4d603c465eca47a1696770f3df9ff31e65f0a6261e537da5ada43 WHIRLPOOL 15dbb071c37f77d6c3eae4fdab2b1af2c77e6d58455817e7271565efa248d05f00475e0df8586b313d7c1e404ebae33c34995f1fb975b1fbcc0e7b9ecdb34e7d
+-----BEGIN PGP SIGNATURE-----
+Version: GnuPG v2.0.19 (GNU/Linux)
+
+iEYEAREIAAYFAlDBAdAACgkQ1ycZbhPLE2B1GwCgrJw9+ybzzE3RtJCImCuF0KbH
+JfgAn35mwdn6kaR11RyXTZRmXu3g/9YF
+=fbhH
+-----END PGP SIGNATURE-----
diff --git a/sci-mathematics/mlpy/metadata.xml b/sci-mathematics/mlpy/metadata.xml
index f48d50709994..2e8d0acb37bf 100644
--- a/sci-mathematics/mlpy/metadata.xml
+++ b/sci-mathematics/mlpy/metadata.xml
@@ -1,8 +1,15 @@
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
- <maintainer>
- <email>dberkholz@gentoo.org</email>
- <name>Donnie Berkholz</name>
- </maintainer>
+<herd>sci</herd>
+<maintainer>
+ <email>dberkholz@gentoo.org</email>
+ <name>Donnie Berkholz</name>
+</maintainer>
+<longdescription lang="en">
+ mlpy provides a wide range of state-of-the-art machine learning
+ methods for supervised and unsupervised problems and it is aimed at
+ finding a reasonable compromise among modularity, maintainability,
+ reproducibility, usability and efficiency.
+</longdescription>
</pkgmetadata>
diff --git a/sci-mathematics/mlpy/mlpy-3.5.0.ebuild b/sci-mathematics/mlpy/mlpy-3.5.0.ebuild
index 79837aa931d9..1ab2093cb732 100644
--- a/sci-mathematics/mlpy/mlpy-3.5.0.ebuild
+++ b/sci-mathematics/mlpy/mlpy-3.5.0.ebuild
@@ -1,17 +1,17 @@
# Copyright 1999-2012 Gentoo Foundation
# Distributed under the terms of the GNU General Public License v2
-# $Header: /var/cvsroot/gentoo-x86/sci-mathematics/mlpy/mlpy-3.5.0.ebuild,v 1.1 2012/05/11 16:11:40 dberkholz Exp $
+# $Header: /var/cvsroot/gentoo-x86/sci-mathematics/mlpy/mlpy-3.5.0.ebuild,v 1.2 2012/12/06 20:36:31 bicatali Exp $
EAPI=4
inherit distutils
-DESCRIPTION="Machine Learning PYthon (mlpy) is a high-performance Python library for predictive modeling"
+DESCRIPTION="High-performance Python library for predictive modeling"
HOMEPAGE="https://mlpy.fbk.eu/"
SRC_URI="mirror://sourceforge/${PN}/${P}.tar.gz"
LICENSE="GPL-3"
SLOT="0"
-KEYWORDS="~amd64"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
IUSE="doc"
RDEPEND=">=sci-libs/gsl-1.11
>=dev-python/numpy-1.3