kpriv/pkgsrc-wip
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity
pkgsrc-wip/py-spambayes/Makefile

18 lines
483 B
Makefile
Raw Normal View History

Replace tech-pkg@NetBSD.org with pkgsrc-users@NetBSD.org.
2006-05-19 18:51:13 +02:00
# $NetBSD: Makefile,v 1.5 2006/05/19 16:51:34 ykomatsu Exp $
The SpamBayes project is working on developing a Bayesian anti-spam filter, initially based on the work of Paul Graham. The major difference between this and other, similar projects is the emphasis on testing newer approaches to scoring messages. While most anti-spam projects are still working with the original graham algorithm, we found that a number of alternate methods yielded a more useful response. This is documented on the background page. SpamBayes is not a single application. The core code is a message classifier, however there are several applications available as part of the SpamBayes project which use the classifier in specific contexts. For the most part, the current crop of applications all operate on the client side of things, however, a number of people have experimented with using SpamBayes on mail servers to classify incoming mail for multiple users. The table below outlines the main applications which are part of the SpamBayes distribution.
2003-11-20 18:23:59 +01:00
#
DISTNAME= spambayes-1.0a7
PKGNAME= ${PYPKGPREFIX}-${DISTNAME}
CATEGORIES= textproc
Convert to buildlink3 and fix MASTER_SITES.
2004-05-02 23:27:04 +02:00
MASTER_SITES= ${MASTER_SITE_SOURCEFORGE:=spambayes/}
The SpamBayes project is working on developing a Bayesian anti-spam filter, initially based on the work of Paul Graham. The major difference between this and other, similar projects is the emphasis on testing newer approaches to scoring messages. While most anti-spam projects are still working with the original graham algorithm, we found that a number of alternate methods yielded a more useful response. This is documented on the background page. SpamBayes is not a single application. The core code is a message classifier, however there are several applications available as part of the SpamBayes project which use the classifier in specific contexts. For the most part, the current crop of applications all operate on the client side of things, however, a number of people have experimented with using SpamBayes on mail servers to classify incoming mail for multiple users. The table below outlines the main applications which are part of the SpamBayes distribution.
2003-11-20 18:23:59 +01:00
Replace tech-pkg@NetBSD.org with pkgsrc-users@NetBSD.org.
2006-05-19 18:51:13 +02:00
MAINTAINER= pkgsrc-users@NetBSD.org
The SpamBayes project is working on developing a Bayesian anti-spam filter, initially based on the work of Paul Graham. The major difference between this and other, similar projects is the emphasis on testing newer approaches to scoring messages. While most anti-spam projects are still working with the original graham algorithm, we found that a number of alternate methods yielded a more useful response. This is documented on the background page. SpamBayes is not a single application. The core code is a message classifier, however there are several applications available as part of the SpamBayes project which use the classifier in specific contexts. For the most part, the current crop of applications all operate on the client side of things, however, a number of people have experimented with using SpamBayes on mail servers to classify incoming mail for multiple users. The table below outlines the main applications which are part of the SpamBayes distribution.
2003-11-20 18:23:59 +01:00
HOMEPAGE= http://spambayes.sourceforge.net/
COMMENT= Bayesian anti-spam filter, initially based on the work of Paul Graham
PY_PATCHPLIST= yes
PYDISTUTILSPKG= yes
.include "../../lang/python/extension.mk"
.include "../../mk/bsd.pkg.mk"
Reference in a new issue Copy permalink