Hi, > Is this normal? If so, what is the explanation for this behavior? I have
> marked dozens of nearly-identical messages with the subject "Garden hose >> expands up to three times its length" as SPAM (over the course of >> several weeks) as SPAM, and yet SA reports "not enough usable tokens >> found". >> > > If they are identical, I don't believe it will create new tokens, per se. > > > >> Is SA referring to the number of tokens in the message? Or the Bayes DB? >> > I should also mention that while training a message, use "--progress", as such (assuming you're running it on an mbox or message that's in mbox format): # sa-learn --progress --spam --mbox mymboxfile It will show you how many tokens have been learned during that run. It might also be a good idea to add the token summary flag to your config: add_header all Tok-Stat _TOKENSUMMARY_ If you run spamassassin on a message directly, and add the -t option, it will show you the number of different types of tokens found in the message: X-Spam-Tok-Stat: Tokens: new, 0; hammy, 6; neutral, 84; spammy, 36. Regards, Alex
