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DEFINED_PHASES=compile configure install prepare test
DEPEND=dev-python/cython[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] dev-python/numpy[lapack,python_targets_python2_7(-)?,-python_single_target_python2_7(-)] dev-python/setuptools[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] sci-libs/scipy[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] virtual/blas virtual/cblas doc? ( dev-python/joblib[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] dev-python/matplotlib[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] dev-python/sphinx[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ) python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,-python_single_target_python2_7(-)]
DESCRIPTION=Python modules for machine learning and data mining
EAPI=5
HOMEPAGE=https://scikit-learn.org
IUSE=doc examples test python_targets_python2_7
KEYWORDS=~amd64 ~x86 ~amd64-linux ~x86-linux
LICENSE=BSD
RDEPEND=dev-python/joblib[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] dev-python/matplotlib[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] dev-python/nose[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] >=dev-python/numpy-1.6.1[lapack,python_targets_python2_7(-)?,-python_single_target_python2_7(-)] sci-libs/scikits[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] >=sci-libs/scipy-0.9[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] virtual/blas virtual/cblas virtual/python-funcsigs[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,-python_single_target_python2_7(-)]
REQUIRED_USE=|| ( python_targets_python2_7 )
SLOT=0
SRC_URI=mirror://pypi/s/scikit-learn/scikit-learn-0.17.tar.gz
_eclasses_=desktop b1d22ac8bdd4679ab79c71aca235009d distutils-r1 9838160d624a44b2d56d1266a69fd473 epatch a1bf4756dba418a7238f3be0cb010c54 estack 43ddf5aaffa7a8d0482df54d25a66a1f eutils 6e6c2737b59a4b982de6fb3ecefd87f8 flag-o-matic 1b4b0d1d972613ecfb7af4c5c53f2051 ltprune 2729691420b6deeda2a90b1f1183fb55 multibuild 40fe59465edacd730c644ec2bc197809 multilib 1d91b03d42ab6308b5f4f6b598ed110e multiprocessing cac3169468f893670dac3e7cb940e045 preserve-libs ef207dc62baddfddfd39a164d9797648 python-r1 ce1cd23cfdc1848e8e32743efe34f299 python-utils-r1 08e17157a6807add7db1f8d01e7e391f toolchain-funcs 2f8b8f320bee13b71a8a54cc6d09e08a vcs-clean 2a0f74a496fa2b1552c4f3398258b7bf xdg-utils ff2ff954e6b17929574eee4efc5152ba
_md5_=696f3e8912bde6095ae4a71b6db36e4f
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