Date: Sat, 20 Jan 2007 11:53:19 +0100 From: "Simon Olofsson" <simon@olofsson.de> To: FreeBSD-gnats-submit@FreeBSD.org Subject: ports/108143: [NEW PORT] textproc/weka: Data Mining Software in Java Message-ID: <20070120105320.227B43027ED@mail-in-07.arcor-online.net> Resent-Message-ID: <200701201100.l0KB0gpX065411@freefall.freebsd.org>
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>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@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@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:
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