Hello, I'm trying to figure out how to use 'sa-learn' to train SA's spam filter. I have already looked at the man page.
I am not entirely sure what kind of input is acceptable to sa-learn. On teaching ham: ================ I gather that I can give sa-learn an entire mailbox and it'll know how to interpret it. Am I right? I am using mutt. Are mutt's mail-boxes similar to what sa-learn expects. On teaching spam: ================= This is the tricky one. Most of the spam I get is successfully filtered by the current SA rules. These are stored in a sepparate file. I would like to use this file to training SA. The problem is that SA alters the header siginficantly. SA's output includes an analysis explaining why it thinks that the give email is spam. This will do bad things to the statistical approach. Is there a way to use this output to train SA? -- Daniel Carrera | OpenPGP fingerprint: Mathematics Dept. | 6643 8C8B 3522 66CB D16C D779 2FDD 7DAC 9AF7 7A88 UMD, College Park | http://www.math.umd.edu/~dcarrera/pgp.html ------------------------------------------------------- This SF.net email is sponsored by: VM Ware With VMware you can run multiple operating systems on a single machine. WITHOUT REBOOTING! Mix Linux / Windows / Novell virtual machines at the same time. Free trial click here: http://www.vmware.com/wl/offer/345/0 _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
