Add libsvm 2.33, a library for Support Vector Machines.

PR:		32997
Submitted by:	Chia-Hsing Yu <davidyu@oio.cx>

science/Makefile

@@ -3,6 +3,7 @@
 
     SUBDIR += chemtool
     SUBDIR += clhep
+    SUBDIR += libsvm
     SUBDIR += mpqc
     SUBDIR += xmakemol
 

science/libsvm/Makefile

@@ -0,0 +1,22 @@
+# New ports collection Makefile for: libsvm
+# Date created:         Oct 28 2001
+# Whom:                 Chia-Hsing Yu <davidyu@oio.cx>
+#
+# $FreeBSD$
+#
+
+PORTNAME=	libsvm
+PORTVERSION=	2.33
+CATEGORIES=	science math
+MASTER_SITES=	http://www.csie.ntu.edu.tw/~cjlin/libsvm/
+
+MAINTAINER=	davidyu@oio.cx
+
+post-install:
+.if !defined(NOPORTDOCS)
+	@${MKDIR} ${DOCSDIR}
+	${INSTALL_DATA} ${WRKSRC}/README ${PREFIX}/share/doc/libsvm
+	${INSTALL_DATA} ${WRKSRC}/COPYRIGHT ${PREFIX}/share/doc/libsvm
+.endif
+
+.include <bsd.port.mk>

science/libsvm/distinfo

@@ -0,0 +1 @@
+MD5 (libsvm-2.33.tar.gz) = 7a8a37463ef2fc95e8f85a3e2d7f1a26

science/libsvm/files/patch-Makefile

@@ -0,0 +1,20 @@
+$FreeBSD$
+
+--- Makefile.orig	Sat Sep 22 11:04:16 2001
++++ Makefile	Tue Dec 18 22:39:11 2001
+@@ -1,5 +1,5 @@
+-CXXC = g++
+-CFLAGS = -Wall -O3 -g
++CXXC = ${CXX}
++CFLAGS += -g
+ 
+ all: svm-train svm-predict svm-scale
+ 
+@@ -13,3 +13,7 @@
+ 	$(CXXC) $(CFLAGS) -c svm.cpp
+ clean:
+ 	rm -f *~ svm.o svm-train svm-predict svm-scale
++
++install:
++	install -d ${PREFIX}/bin/
++	install -s -c -m 755 svm-train svm-predict svm-scale ${PREFIX}/bin/

science/libsvm/pkg-comment

@@ -0,0 +1 @@
+A library for Support Vector Machines

science/libsvm/pkg-descr

@@ -0,0 +1,19 @@
+LIBSVM is an integrated software for support vector classification, (C-SVC,
+nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation
+(one-class SVM ). It supports multi-class classification. The basic algorithm
+is a simplification of both SMO by Platt and SVMLight by Joachims. It is also
+a simplification of the modification 2 of SMO by Keerthi et al. 
+
+Our goal is to help users from other fields to easily use SVM as a tool.
+LIBSVM provides a simple interface where users can easily link it with their
+own programs. Main features of LIBSVM include 
+
+Different SVM formulations 
+Efficient multi-class classification 
+Cross validation for model selection 
+Weighted SVM for unbalanced data 
+Both C++ and Java sources 
+GUI demonstrating SVM classification and regression 
+
+WWW: http://www.csie.ntu.edu.tw/~cjlin/libsvm/
+Author: Chih-Chung Chang and Chih-Jen Lin <cjlin@csie.ntu.edu.tw>

science/libsvm/pkg-plist

@@ -0,0 +1,6 @@
+bin/svm-predict
+bin/svm-scale
+bin/svm-train
+%%PORTDOCS%%share/doc/libsvm/README
+%%PORTDOCS%%share/doc/libsvm/COPYRIGHT
+%%PORTDOCS%%@dirrm share/doc/libsvm