On Fri, 2006-01-27 at 01:51 +0100, guenther wrote:
A hack-ish workaround to train Bayes using Evo is the following: Pick at least 200 non-Junk messages, and keep them in mind. Now mark them as Junk using the Evo UI. Go to your Junk folder, and mark all those non-Junk mail we just abused in a sacrificial manner and correctly mark them as non-Junk. SA will realize it learned these messages previously, and learn them as Ham (non-Junk) only, AFAIK. Now we got the 200 Hams learned. Collecting at least 200 Spams for learning shouldn't be hard I guess. ;-) Note: This really is a *hack* only, and you should not try this unless you feel a little bit adventurous. :)
I don't think this will work. AFAIK the "not junk" button presents messages to sa-learn as "cancel this message having been learnt as junk" and not "learn this message as ham", which is really something else.
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