Payal Rathod wrote:
> Thanks a lot for the mails all of you. For how many more messages do
> I have to train bayes? It is rather a tiring job.
#sa-learn --dump magic
0.000 0 3 0 non-token data: bayes db version
0.000 0 2563 0 non-token data: nspam
0.000 0 2963 0 non-token data: nham
0.000 0 177220 0 non-token data: ntokens
0.000 0 1096560512 0 non-token data: oldest atime
0.000 0 1096914675 0 non-token data: newest atime
0.000 0 1096913936 0 non-token data: last journal sync atime
0.000 0 1096906316 0 non-token data: last expiry atime
0.000 0 345600 0 non-token data: last expire atime delta
0.000 0 18128 0 non-token data: last expire reduction
count
Note the nspam and nham lines
Once the third number in each of these lines is over 200, SpamAssassin will
turn on the BAYES_## rules
There are threshold spam-scores that SpamAssassin uses to auto-train Bayes...
these are from a Bayes-less scoreset to avoid feedback loops.
[EMAIL PROTECTED] 805.964.4554 x902
Hispanic Business Inc./HireDiversity.com Software Engineer
perl -e"map{y/a-z/l-za-k/;print}shift" "Jjhi pcdiwtg Ptga wprztg,"
