761e09d280
The Vowpal Wabbit (VW) project is a fast out-of-core learning system sponsored by Microsoft Research and (previously) Yahoo! Research. There are two ways to have a fast learning algorithm: (a) start with a slow algorithm and speed it up, or (b) build an intrinsically fast learning algorithm. This project is about approach (b), and it's reached a state where it may be useful to others as a platform for research and experimentation. There are several optimization algorithms available with the baseline being sparse gradient descent (GD) on a loss function (several are available). WWW: https://github.com/JohnLangford/vowpal_wabbit/wiki
22 lines
531 B
Makefile
22 lines
531 B
Makefile
# Created by: Dmitry Sivachenko <demon@FreeBSD.org>
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# $FreeBSD$
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PORTNAME= vowpal_wabbit
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PORTVERSION= 7.9
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CATEGORIES= math
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MASTER_SITES= http://github.com/JohnLangford/vowpal_wabbit/archive/
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DISTFILES= ${PORTVERSION}${EXTRACT_SUFX}
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DIST_SUBDIR= ${PORTNAME}
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MAINTAINER= demon@FreeBSD.org
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COMMENT= Fast out-of-core learning system
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LIB_DEPENDS= libboost_thread.so:${PORTSDIR}/devel/boost-libs
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USES= libtool
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GNU_CONFIGURE= yes
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USE_LDCONFIG= yes
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CONFIGURE_ARGS= --enable-shared=no --with-boost=${LOCALBASE}
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.include <bsd.port.mk>
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