{"added":null,"apiVersion":1,"behindSince":null,"buildDepends":[],"categories":["wip","textproc"],"comment":"Bayesian anti-spam filter, initially based on the work of Paul Graham","compare":null,"dependentCount":null,"description":"The SpamBayes project is working on developing a Bayesian anti-spam filter,\ninitially based on the work of Paul Graham. The major difference between\nthis and other, similar projects is the emphasis on testing newer approaches\nto scoring messages. While most anti-spam projects are still working with\nthe original graham algorithm, we found that a number of alternate methods\nyielded a more useful response. This is documented on the background page.\n\nSpamBayes is not a single application. The core code is a message\nclassifier, however there are several applications available as part of the\nSpamBayes project which use the classifier in specific contexts. For the\nmost part, the current crop of applications all operate on the client side\nof things, however, a number of people have experimented with using\nSpamBayes on mail servers to classify incoming mail for multiple users. The\ntable below outlines the main applications which are part of the SpamBayes\ndistribution.","flavors":[],"html":"https://daemonports.org/netbsd/wip/py-spambayes/","kind":"port","lastUpdate":null,"license":["python-software-foundation"],"maintainer":"pkgsrc-users@NetBSD.org","name":"spambayes","newest":false,"newestVersion":null,"noVulnData":false,"origin":"wip/py-spambayes","otherSystems":[],"packages":null,"pkgName":"spambayes-1.1b1","related":null,"repository":"pkgsrc-wip","requiredBy":[],"requiredByCount":0,"runDepends":[],"status":null,"system":"netbsd","systemLabel":"NetBSD","version":"1.1b1","versions":null,"vulnerabilities":null,"www":"https://spambayes.sourceforge.net/"}