Module spam
source code
Uses the SpamBayes system to perform filtering and classification of
email. It's designed so that you attach a single decorator to the state
functions you need to be "spam free", and then use the
lamson.spam.Filter code to do training.
SpamBayes comes with extensive command line tools for processing
maildir and mbox for spam. A good way to train SpamBayes is to take mail
that you know is spam and stuff it into a maildir, then periodically use
the SpamBayes tools to train from that.
|
|
Filter
This code implements simple filtering and is taken from the
SpamBayes documentation.
|
|
|
spam_filter
This is a decorator you attach to states that should be protected from spam.
|