# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4
categories-append science
maintainers {aronnax @lpsinger} openmaintainer
description tools for machine learning and data mining in astronomy
long_description AstroML is a Python module for machine learning and data \
mining built on numpy, scipy, scikit-learn, and \
matplotlib, and distributed under the 3-Clause BSD \
license. It contains a growing library of statistical and \
machine learning routines for analyzing astronomical data \
in python, loaders for several open astronomical datasets, \
and a large suite of examples of analyzing and visualizing \
homepage https://www.astroml.org
master_sites pypi:[string index ${python.rootname} 0]/${python.rootname}
distname ${python.rootname}-${version}
checksums rmd160 3953350b06d20c22ea7a4d27b90b7db94968ffe4 \
sha256 a4efa8acee889c92088ff2433d24793d24cfe7aba15d523e2e0cc12d81e4b899 \
if {${name} ne ${subport}} {
fs-traverse item ${worksrcpath} {
if {[file isdirectory ${item}]} {
file attributes ${item} -permissions a+rx
} elseif {[file isfile ${item}]} {
file attributes ${item} -permissions a+r
port:py${python.version}-setuptools
port:py${python.version}-numpy \
port:py${python.version}-scipy \
port:py${python.version}-matplotlib \
port:py${python.version}-scikit-learn \
port:py${python.version}-astropy
variant addons description "Install optional package py${python.version}-${python.rootname}_addons for faster C implementations of some algorithms" {
port:py${python.version}-${python.rootname}_addons