New port: vowpal_wabbit.

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

1 files changed, 22 insertions, 0 deletions

diff --git a/math/vowpal_wabbit/Makefile b/math/vowpal_wabbit/Makefile
new file mode 100644
index 000000000000..6eec527ee280
--- /dev/null
+++ b/math/vowpal_wabbit/Makefile
@@ -0,0 +1,22 @@
+# Created by: Dmitry Sivachenko <demon@FreeBSD.org>
+# $FreeBSD$
+
+PORTNAME=	vowpal_wabbit
+PORTVERSION=	7.9
+CATEGORIES=	math
+MASTER_SITES=	http://github.com/JohnLangford/vowpal_wabbit/archive/
+DISTFILES=	${PORTVERSION}${EXTRACT_SUFX}
+DIST_SUBDIR=	${PORTNAME}
+
+MAINTAINER=	demon@FreeBSD.org
+COMMENT=	Fast out-of-core learning system
+
+LIB_DEPENDS=	libboost_thread.so:${PORTSDIR}/devel/boost-libs
+
+USES=		libtool
+GNU_CONFIGURE=	yes
+USE_LDCONFIG=	yes
+
+CONFIGURE_ARGS=	--enable-shared=no --with-boost=${LOCALBASE}
+
+.include <bsd.port.mk>