I sued to have a setup where IMAP users could put mail into either SPAM or Junk
mailboxes to have it auto trained and then I had a script that stepped through
and did the training, and it also processed non-new mail in the inbox as ham.
USERROOT="$HOME";
MAILP="Maildir";
J_PATH="$USERROOT/${MAILP}/.Junk";
S_PATH="$USERROOT/${MAILP}/.SPAM";
H_PATH="$USERROOT/${MAILP}/cur";
if [ `test -d $J_PATH` ]; then
/usr/local/bin/sa-learn --spam --progress $i $J_PATH/{new,cur}
fi
if [ `test -d $S_PATH` ]; then
/usr/local/bin/sa-learn --spam --progress $i $S_PATH/{new,cur}
fi
if [ `test -d $H_PATH` ]; then
/usr/local/bin/sa-learn --ham $H_PATH
fi
This all worked fine, but it was very resource intensive, and it only worked
with the very few shell users. I tried to run it (manually) a few times with
the virtual users, but I ended up with a process that ground the computer to a
halt and generated a bayes database that was massively large (GBs).
So, other than throwing more iron at the problem, is there something I can do
to make this process a little smarter? Make it work with the virtual users
without generating a massive db file?
--
'What can I do? I'm only human,' he said aloud. Someone said, Not all
of you. --Pyramids
