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 80370fcf1f625f3ca84836cbe8bb04e1 epatch a1bf4756dba418a7238f3be0cb010c54 estack 43ddf5aaffa7a8d0482df54d25a66a1f eutils 6e6c2737b59a4b982de6fb3ecefd87f8 flag-o-matic 8a43b9830f1e64a7a5fc0a276afa0275 ltprune 2729691420b6deeda2a90b1f1183fb55 multibuild 40fe59465edacd730c644ec2bc197809 multilib 1d91b03d42ab6308b5f4f6b598ed110e multiprocessing cac3169468f893670dac3e7cb940e045 preserve-libs ef207dc62baddfddfd39a164d9797648 python-r1 ce1cd23cfdc1848e8e32743efe34f299 python-utils-r1 25291c381052933ddf86bcffbfaff2ed toolchain-funcs 512eb3367f507ebaa1d1d43ab7d66e6c vcs-clean 2a0f74a496fa2b1552c4f3398258b7bf xdg-utils ff2ff954e6b17929574eee4efc5152ba _md5_=696f3e8912bde6095ae4a71b6db36e4f