gentoo-overlay/metadata/md5-cache/sci-libs/scikits_learn-0.13-r1

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DEFINED_PHASES=compile configure install prepare test
DEPEND=dev-python/cython dev-python/setuptools[python_targets_python2_6(-)?,python_targets_python2_7(-)?,-python_single_target_python2_6(-),-python_single_target_python2_7(-)] sci-libs/scipy[python_targets_python2_6(-)?,python_targets_python2_7(-)?,-python_single_target_python2_6(-),-python_single_target_python2_7(-)] doc? ( dev-python/sphinx[python_targets_python2_6(-)?,python_targets_python2_7(-)?,-python_single_target_python2_6(-),-python_single_target_python2_7(-)] dev-python/matplotlib[python_targets_python2_6(-)?,python_targets_python2_7(-)?,-python_single_target_python2_6(-),-python_single_target_python2_7(-)] ) python_targets_python2_6? ( dev-lang/python:2.6 ) python_targets_python2_7? ( dev-lang/python:2.7 ) dev-python/python-exec[python_targets_python2_6(-)?,python_targets_python2_7(-)?,-python_single_target_python2_6(-),-python_single_target_python2_7(-)]
DESCRIPTION=Python modules for machine learning and data mining
EAPI=5
HOMEPAGE=http://scikit-learn.org
IUSE=doc examples python_targets_python2_6 python_targets_python2_7
KEYWORDS=~amd64 ~x86 ~amd64-linux ~x86-linux
LICENSE=BSD
RDEPEND=sci-libs/scikits[python_targets_python2_6(-)?,python_targets_python2_7(-)?,-python_single_target_python2_6(-),-python_single_target_python2_7(-)] sci-libs/scipy[python_targets_python2_6(-)?,python_targets_python2_7(-)?,-python_single_target_python2_6(-),-python_single_target_python2_7(-)] dev-python/matplotlib[python_targets_python2_6(-)?,python_targets_python2_7(-)?,-python_single_target_python2_6(-),-python_single_target_python2_7(-)] python_targets_python2_6? ( dev-lang/python:2.6 ) python_targets_python2_7? ( dev-lang/python:2.7 ) dev-python/python-exec[python_targets_python2_6(-)?,python_targets_python2_7(-)?,-python_single_target_python2_6(-),-python_single_target_python2_7(-)]
SLOT=0
SRC_URI=mirror://sourceforge/scikit-learn/scikit-learn-0.13.tar.gz
_eclasses_=distutils-r1 c43389ef760cd7e42d7bf53666cfa6e0 eutils 2824df7f5dc9f47aee293af8a6b517ed flag-o-matic d900015de4e092f26d8c0a18b6bd60de multilib ded93e450747134a079e647d888aa80b multiprocessing a2130e6fc4aa4c6a24b265ca0cbcc2b6 python-r1 8a2f7fb683287f1c6a95198ff0fb21e5 python-utils-r1 120bfd06803274b3d1b986d506302851 toolchain-funcs 69a2016af67775a812f4c03ba4b0e03e user d0a4d0735a6c0183d707ca919bd72f28
_md5_=afd33b6b4931ab2fe93377813c36f6dc