# -*- coding: utf-8; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:et:sw=4:ts=4:sts=4
categories-append science
maintainers stromnov openmaintaner
description Easy-to-use and general-purpose machine learning in Python
long_description scikits.learn is a Python module integrating classique \
machine learning algorithmes in the tightly-nit world of \
scientific Python packages (numpy, scipy, matplotlib).
homepage http://scikit-learn.sourceforge.net/
master_sites http://pypi.python.org/packages/source/s/scikits.learn/
distname scikits.learn-${version}
checksums md5 df0dd5ce8281e7b3f9f208128339011f \
sha1 6f6ca69254be2bc6e75ca0fcb955ba0fd863687e \
rmd160 7f9b9611c5b2ca7b50414e091ed60ef3a304def4
depends_lib-append port:py26-numpy \
# scikits/__init__.py is provided by scikits-module
file delete ${destroot}${python.pkgd}/scikits/__init__.py
livecheck.url ${master_sites}
livecheck.regex "scikits.learn-(\\d+(?:\\.\\d+)*)${extract.suffix}"