Add svmlight 6.01, an implementation of Support Vector Machines (SVMs)

in C.

PR:		ports/100944
Submitted by:	Gea-Suan Lin <gslin at gslin.org>

science/Makefile

@@ -81,6 +81,7 @@
     SUBDIR += ruby-dcl
     SUBDIR += ruby-gphys
     SUBDIR += simlib
+    SUBDIR += svmlight
     SUBDIR += szip
     SUBDIR += udunits
     SUBDIR += v_sim

science/svmlight/Makefile

@@ -0,0 +1,43 @@
+# New ports collection makefile for: svmlight
+# Date created:	    2006-07-18
+# Whom:	    Gea-Suan Lin <gslin@gslin.org>
+#
+# $FreeBSD$
+#
+
+PORTNAME=	svmlight
+PORTVERSION=	6.01
+CATEGORIES=	science
+MASTER_SITES=	http://kodiak.cs.cornell.edu/svm_light/current/
+DISTNAME=	svm_light
+
+PATCH_SITES=	http://search.cpan.org/src/KWILLIAMS/Algorithm-SVMLight-0.05/
+PATCHFILES=	SVMLight.patch
+
+MAINTAINER=	gslin@gslin.org
+COMMENT=	An implementation of Support Vector Machines (SVMs) in C
+
+RESTRICTED=	only for education and research
+
+INSTALLS_SHLIB=	yes
+MAKE_ARGS=	CC="${CC}" CFLAGS="${CFLAGS}" LD="${CC}" LFLAGS="${CFLAGS}"
+USE_GMAKE=	yes
+WRKSRC=		${WRKDIR}
+
+post-build:
+	${CC} ${CFLAGS} -shared -o ${WRKSRC}/libsvmlight.so.1 ${WRKSRC}/libsvmlight.a
+
+do-install:
+.for file in svm_classify svm_learn
+	${INSTALL_PROGRAM} ${WRKSRC}/${file} ${PREFIX}/bin
+.endfor
+	${INSTALL_DATA} ${WRKSRC}/libsvmlight.* ${PREFIX}/lib
+	${LN} -s ${PREFIX}/lib/libsvmlight.so.1 ${PREFIX}/lib/libsvmlight.so
+# It's license request, do not remove
+	${MKDIR} ${DOCSDIR}
+	${INSTALL_DATA} ${WRKSRC}/LICENSE.txt ${DOCSDIR}
+
+post-install:
+	@${CAT} ${WRKSRC}/LICENSE.txt
+
+.include <bsd.port.mk>

science/svmlight/distinfo

@@ -0,0 +1,6 @@
+MD5 (svm_light.tar.gz) = 22dab64a89dbb01141f87641141e75cc
+SHA256 (svm_light.tar.gz) = 213177ac93b60055439f0b6742d4b4e728e4401f017b8facbe2e808d4143fb11
+SIZE (svm_light.tar.gz) = 50121
+MD5 (SVMLight.patch) = 53426a955bfbdaa0c0a03390df6e2f35
+SHA256 (SVMLight.patch) = 926f6043d43ec174c419fe58ecf291711949daa3d4da89783a8f8cf572e09357
+SIZE (SVMLight.patch) = 10557

science/svmlight/pkg-descr

@@ -0,0 +1,18 @@
+SVMlight is an implementation of Vapnik's Support Vector Machine
+[Vapnik, 1995] for the problem of pattern recognition, for the problem
+of regression, and for the problem of learning a ranking function. The
+optimization algorithms used in SVMlight are described in [Joachims,
+2002a ]. [Joachims, 1999a]. The algorithm has scalable memory
+requirements and can handle problems with many thousands of support
+vectors efficiently.
+
+The software also provides methods for assessing the generalization
+performance efficiently. It includes two efficient estimation methods
+for both error rate and precision/recall. XiAlpha-estimates [Joachims,
+2002a, Joachims, 2000b] can be computed at essentially no
+computational expense, but they are conservatively biased. Almost
+unbiased estimates provides leave-one-out testing. SVMlight exploits
+that the results of most leave-one-outs (often more than 99%) are
+predetermined and need not be computed [Joachims, 2002a].
+
+WWW:	http://svmlight.joachims.org/

science/svmlight/pkg-plist

@@ -0,0 +1,8 @@
+@comment $FreeBSD$
+bin/svm_classify
+bin/svm_learn
+lib/libsvmlight.a
+lib/libsvmlight.so
+lib/libsvmlight.so.1
+%%DOCSDIR%%/LICENSE.txt
+@dirrm %%DOCSDIR%%