This is a little embarassing, but is Spambayes only used on Unix machines? I need to change to Unix but still suffer as an ignorant Windows user.
Skip Montanaro-2 wrote: > > > taskr> My university account expired, and I switched to gmail. > taskr> Discussion on Kiernet suggested that K9 will not filter gmail > taskr> (even though I use a POP3 connection to gmail?), so I am > thinking > taskr> of trying Spambayes. > > I use Gmail with POP3. On my Mac I use fetchmail to download my mail and > pump it into procmail which runs SpamBayes' sb_bnfilter.py program. > > taskr> Will this be straight forward to set up? > > You didn't say much about your environment, but presuming you're using > POP3 > then you should be able to at least use the SpamBayes pop3proxy. > > taskr> Can I get SpamBayes to pre-train from the K9 data? > > If K9 stores its raw spam and ham messages in some file format common on > Unix systems like mbox or Maildir format you can train from that. I'd > just > start from scratch and train a few ham and spam you should be okay. Also, > note that Gmail is going to filter out the bulk of your spam (you will > need > to keep on top of things for awhile and pluck out false positives and > false > negatives). > > taskr> Must I uninstall K9 before installing SpamBayes? > > Probably not, but if K9 is an Outlook plugin and you want to use the > SpamBayes Outlook plugin it would probably be wise. > > taskr> Sorry to mention another product, but it seems those > responsible > taskr> for Spambayes and K9 are on the same ultimate mission; except, > K9 > taskr> is no longer in development. > > Never heard of K9 before... > > Skip > _______________________________________________ > [email protected] > http://mail.python.org/mailman/listinfo/spambayes > Check the FAQ before asking: http://spambayes.sf.net/faq.html > > -- View this message in context: http://www.nabble.com/just-changed-accounts-tf3649097.html#a10193631 Sent from the Python - spambayes mailing list archive at Nabble.com. _______________________________________________ [email protected] http://mail.python.org/mailman/listinfo/spambayes Check the FAQ before asking: http://spambayes.sf.net/faq.html
