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| author | miwi <miwi@FreeBSD.org> | 2007-01-22 15:51:28 +0800 |
|---|---|---|
| committer | miwi <miwi@FreeBSD.org> | 2007-01-22 15:51:28 +0800 |
| commit | faec6eff2529335c6be51bcfd92f20950713cbb9 (patch) | |
| tree | 4c3565e654e56df0c6dcd667a64a0474e0782b17 /textproc | |
| parent | d3c7781e61e3bcee6eea3d493b132043a8ff91ea (diff) | |
| download | freebsd-ports-gnome-faec6eff2529335c6be51bcfd92f20950713cbb9.tar.gz freebsd-ports-gnome-faec6eff2529335c6be51bcfd92f20950713cbb9.tar.zst freebsd-ports-gnome-faec6eff2529335c6be51bcfd92f20950713cbb9.zip | |
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/
PR: ports/108143
Submitted by: Simon Olofsson <simon at olofsson.de>
Diffstat (limited to 'textproc')
| -rw-r--r-- | textproc/Makefile | 1 | ||||
| -rw-r--r-- | textproc/weka/Makefile | 37 | ||||
| -rw-r--r-- | textproc/weka/distinfo | 3 | ||||
| -rw-r--r-- | textproc/weka/files/weka.sh.in | 5 | ||||
| -rw-r--r-- | textproc/weka/pkg-descr | 7 |
5 files changed, 53 insertions, 0 deletions
diff --git a/textproc/Makefile b/textproc/Makefile index 4dca7a9849b4..3fda39c01d1d 100644 --- a/textproc/Makefile +++ b/textproc/Makefile @@ -930,6 +930,7 @@ SUBDIR += wdiff SUBDIR += webcpp SUBDIR += website + SUBDIR += weka SUBDIR += word2x SUBDIR += wordnet SUBDIR += words diff --git a/textproc/weka/Makefile b/textproc/weka/Makefile new file mode 100644 index 000000000000..8db00148c8dd --- /dev/null +++ b/textproc/weka/Makefile @@ -0,0 +1,37 @@ +# New ports collection makefile for: weka +# Date created: 2007-01-20 +# Whom: Simon Olofsson <simon@olofsson.de> +# +# $FreeBSD$ +# + +PORTNAME= weka +DISTVERSION= 3-4-9 +CATEGORIES= textproc java +MASTER_SITES= ${MASTER_SITE_SOURCEFORGE} +MASTER_SITE_SUBDIR= ${PORTNAME} + +MAINTAINER= simon@olofsson.de +COMMENT= Data Mining Software in Java + +USE_ZIP= yes +USE_JAVA= yes +JAVA_VERSION= 1.4+ +NO_BUILD= yes + +DATADIR= ${JAVASHAREDIR}/${PORTNAME} + +SUB_FILES= ${PORTNAME}.sh +SUB_LIST= JARNAME=${PORTNAME}.jar + +PLIST_FILES= %%DATADIR%%/${PORTNAME}.jar \ + bin/${PORTNAME} +PLIST_DIRS= %%DATADIR%% + +do-install: + ${MKDIR} ${DATADIR} + ${INSTALL_DATA} ${WRKSRC}/${PORTNAME}.jar \ + ${DATADIR}/${PORTNAME}.jar + ${INSTALL_SCRIPT} ${WRKDIR}/${PORTNAME}.sh ${PREFIX}/bin/${PORTNAME} + +.include <bsd.port.mk> diff --git a/textproc/weka/distinfo b/textproc/weka/distinfo new file mode 100644 index 000000000000..37e058eab673 --- /dev/null +++ b/textproc/weka/distinfo @@ -0,0 +1,3 @@ +MD5 (weka-3-4-9.zip) = a720f833dc71bc03210737d34ef8203e +SHA256 (weka-3-4-9.zip) = 93db295cdd8265be0a901738c9fead74cddbd0217a6cba258c37f77bac6ecb5e +SIZE (weka-3-4-9.zip) = 10385909 diff --git a/textproc/weka/files/weka.sh.in b/textproc/weka/files/weka.sh.in new file mode 100644 index 000000000000..4c4c27df9607 --- /dev/null +++ b/textproc/weka/files/weka.sh.in @@ -0,0 +1,5 @@ +#!/bin/sh +# +# $FreeBSD$ + +exec "%%LOCALBASE%%/bin/java" -jar "%%DATADIR%%/%%JARNAME%%" "$@" diff --git a/textproc/weka/pkg-descr b/textproc/weka/pkg-descr new file mode 100644 index 000000000000..9b54b7e837e6 --- /dev/null +++ b/textproc/weka/pkg-descr @@ -0,0 +1,7 @@ +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/ |