ports/108143: [NEW PORT] textproc/weka: Data Mining Software in Java

[Simon Olofsson]

>Number:         108143
>Category:       ports
>Synopsis:       [NEW PORT] textproc/weka: Data Mining Software in Java
>Confidential:   no
>Severity:       non-critical
>Priority:       low
>Responsible:    freebsd-ports-bugs
>State:          open
>Quarter:        
>Keywords:       
>Date-Required:
>Class:          change-request
>Submitter-Id:   current-users
>Arrival-Date:   Sat Jan 20 11:00:42 GMT 2007
>Closed-Date:
>Last-Modified:
>Originator:     Simon Olofsson
>Release:        FreeBSD 6.2-STABLE i386
>Organization:
>Environment:
System: FreeBSD gul.lan.gath3n.de 6.2-STABLE FreeBSD 6.2-STABLE #43: Mon Jan 15 22:21:11 CET 2007
>Description:
Weka is a collection of machine learning algorithms for data mining tasks. The
algorithms can either be applied directly to a dataset or called from your own
Java code. Weka contains tools for data pre-processing, classification,
regression, clustering, association rules, and visualization. It is also
well-suited for developing new machine learning schemes.

WWW:	http://www.cs.waikato.ac.nz/ml/weka/

I hope textproc is the right category

Generated with FreeBSD Port Tools 0.77
>How-To-Repeat:
>Fix:

--- weka-3.4.9.shar begins here ---
# This is a shell archive.  Save it in a file, remove anything before
# this line, and then unpack it by entering "sh file".  Note, it may
# create directories; files and directories will be owned by you and
# have default permissions.
#
# This archive contains:
#
#	weka
#	weka/pkg-descr
#	weka/Makefile
#	weka/distinfo
#	weka/files
#	weka/files/weka.sh.in
#
echo c - weka
mkdir -p weka > /dev/null 2>&1
echo x - weka/pkg-descr
sed 's/^X//' >weka/pkg-descr << 'END-of-weka/pkg-descr'
XWeka is a collection of machine learning algorithms for data mining tasks. The
Xalgorithms can either be applied directly to a dataset or called from your own
XJava code. Weka contains tools for data pre-processing, classification,
Xregression, clustering, association rules, and visualization. It is also
Xwell-suited for developing new machine learning schemes.
X
XWWW:	http://www.cs.waikato.ac.nz/ml/weka/
END-of-weka/pkg-descr
echo x - weka/Makefile
sed 's/^X//' >weka/Makefile << 'END-of-weka/Makefile'
X# New ports collection makefile for:	weka
X# Date created:		2007-01-20
X# Whom:			Simon Olofsson <simon at olofsson.de>
X#
X# $FreeBSD$
X#
X
XPORTNAME=	weka
XDISTVERSION=	3-4-9
XCATEGORIES=	textproc java
XMASTER_SITES=	${MASTER_SITE_SOURCEFORGE}
XMASTER_SITE_SUBDIR=	${PORTNAME}
X
XMAINTAINER=	simon at olofsson.de
XCOMMENT=	Data Mining Software in Java
X
XUSE_ZIP=	yes
XUSE_JAVA=	yes
XJAVA_VERSION=	1.4+
XNO_BUILD=	yes
X
XDATADIR=	${JAVASHAREDIR}/${PORTNAME}
X
XSUB_FILES=	${PORTNAME}.sh
XSUB_LIST=	JARNAME=${PORTNAME}.jar
X
XPLIST_FILES=	%%DATADIR%%/${PORTNAME}.jar \
X		bin/${PORTNAME}
XPLIST_DIRS=	%%DATADIR%%
X
Xdo-install:
X	${MKDIR} ${DATADIR}
X	${INSTALL_DATA} ${WRKSRC}/${PORTNAME}.jar \
X	${DATADIR}/${PORTNAME}.jar
X	${INSTALL_SCRIPT} ${WRKDIR}/${PORTNAME}.sh ${PREFIX}/bin/${PORTNAME}
X
X.include <bsd.port.mk>
END-of-weka/Makefile
echo x - weka/distinfo
sed 's/^X//' >weka/distinfo << 'END-of-weka/distinfo'
XMD5 (weka-3-4-9.zip) = a720f833dc71bc03210737d34ef8203e
XSHA256 (weka-3-4-9.zip) = 93db295cdd8265be0a901738c9fead74cddbd0217a6cba258c37f77bac6ecb5e
XSIZE (weka-3-4-9.zip) = 10385909
END-of-weka/distinfo
echo c - weka/files
mkdir -p weka/files > /dev/null 2>&1
echo x - weka/files/weka.sh.in
sed 's/^X//' >weka/files/weka.sh.in << 'END-of-weka/files/weka.sh.in'
X#!/bin/sh
X#
X# $FreeBSD$
X
Xexec "%%LOCALBASE%%/bin/java" -jar "%%DATADIR%%/%%JARNAME%%" "$@"
END-of-weka/files/weka.sh.in
exit
--- weka-3.4.9.shar ends here ---

>Release-Note:
>Audit-Trail:
>Unformatted: