SpamBayes 1.1a6 freeware

The SpamBayes project is working on developing a statistical (commonly, although a little inaccurately, referred to as 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. ...

Author SpamBayes
Released 2010-04-02
Filesize 5.00 MB
Downloads 990
OS Windows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Linux, Mac OS X
Installation Instal And Uninstall
Keywords antispam plugin, antispam filter, outlook plugin, filter, antispam, plugin, Windows Live Mail, outlook, IncrediMail, Outlook Express
Users' rating
(8 rating)
SpamBayesE-Mail ClientsWindows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Linux, Mac OS X
SpamBayes - outlook anti spam Freeware Download Notice

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SpamBayes freeware - The Latest User Reviews
SpamBayes freeware - The Latest Versions History
1.1a6 Apr 2, 2010 New Release · Update pycksum.py to try and identify more duplicates
· Add scale and charset options to ImageStripper
· Stitch spam images back together properly, add a couple more tokens
· Add support for PIL to ImageStripper.py
· Cache x-lookup_ip in a pickle instead of trying to use anydbm or zodb
· Add crude OCR capability to try and parse image-based spam using Ocrad & NetPBM
· Add x-short_runs option
· Add x-image_size option & corresponding token
· Add Matt Cowles' x-lookup_ip extension w/ slight modifications
· Add profiling using cProfile (if available) to sb_filter.py
· Delete -d and -p flags from spamcounts.py
· Refactor basic text tokenizing out of tokenize_body into a separate method, tokenize_text
· Explicitly close ZODB store in tte.py
· Fix bug in regex preventing valid IPs
· Suppress spurious duplicate From_ lines in sb_bnfilter.py
· Add simple parts of [ 824651 ] Multibyte message support

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SpamBayes

1.1a6 freeware download

What is SpamBayes? The SpamBayes project is working on developing a statistical (commonly, although a little inaccurately, referred to as Bayesian) anti-spam filter, initially based on the work of Paul ...