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# -*- 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
PortSystem 1.0
name arowpp
version 0.1.2
categories math textproc
maintainers nomaintainer
description AROW++ An implementation of the efficient confidence-weighted classifier
long_description arowpp (AROW++) is an simple and efficient implementation of \
Adaptive Regularization of Weights online learning algorithm \
for binary classification. AROW is efficient for learning \
tasks such as natural language processing tasks that the \
data is high-dimensional, extremely sparse. AROW is an \
extension of confidence weighted (CW) algorithm that can \
achieve the good performance with a few iterations.
homepage https://code.google.com/p/arowpp/
platforms darwin
license BSD
master_sites googlecode:arowpp
distname AROW++-${version}
checksums rmd160 5f6f3718908d3eb14d359cb41e43e40a65d3f39b \
sha256 cd1637278503d1cc331c9225c4d2472f59bc5f9f9f7031133b484a37b139b344
post-destroot {
set docdir ${destroot}${prefix}/share/doc/${name}
xinstall -d ${docdir}
xinstall -m 644 -W ${worksrcpath} \
AUTHORS \
BSD \
COPYING \
ChangeLog \
README \
${docdir}
}
livecheck.regex AROW\\+\\+-(\\d+\\.\\d+\\.\\d+)\\.tar