I read spamassassin docs... I found out the following: Sa-learn --spam Learn the input message(s) as spam. If you have previously learnt any of the messages as ham, SpamAssassin will forget them first, then re-learn them as spam. Alternatively, if you have previously learnt them as spam, it'll skip them this time around. If the messages have already been filtered through SpamAssassin, the learner will ignore any modifications SpamAssassin may have made.
...and the following bayes_min_ham_num (Default: 200) bayes_min_spam_num (Default: 200) To be accurate, the Bayes system does not activate until a certain number of ham (non-spam) and spam have been learned. The default is 200 of each ham and spam, but you can tune these up or down with these two settings. I changed the value on "1"(I use this for testing and my self-learning its my homework). According to me - spam bayes learning was activated. When I use sa-learning so bayes learn that the mail is spam. And bayes learn the signatures... Therefore is for me strange when I send the same mail again so bayes dont mark this mail like spam? I dont understand this. I realize all conditions - sa-learn --spam --file mail. "bayes_min_spam_num 1". The date the databaze was too changed(but the size stay the same). nspam was increased... I really dont understand what use is SA-LEARN! I have feel that the bayes dont work correctly- bayes ignore sa-learn. I am perhaps silly but I dont understand how it works:(( I am interesred how tell to bayes THIS MAIL IS SPAM(by using sa-learn), WHEN THIS SAME MAIL COME AGAIN SO YOU HAVE TO MARK LIKE SPAM! I know that bayes find similar element between mail and according to decide. But when I mark mail like spam a next mail have 100% similarity so bayes HAVE TO mark it like SPAM. It is logical acording to me. -- View this message in context: http://www.nabble.com/SA-learn-%28spamassassin%29-tp24773517p24777034.html Sent from the SpamAssassin - Users mailing list archive at Nabble.com.