Hello, I'm a bit new to using BayesIt and I'm not sure if I'm not understanding things or if this would be bug or glitch in my setup.
If I get a new SPAM message that that I "mark as junk" and get the dialog that says "1 message was processed by 1 plug-ins", but when I view the plug-in information dialog shouldn't the "size", "capacity", and "active current base word count" increase? I seeded my BayesIt database but wanted to update it with some folders I forgot. I hoped I could do it by marking all those messages as "Junk" and "Not Junk" respectively. However, the size, capacity, and word count never seem to increase -- even if I mark 500 messages as "Junk" or "Not Junk". Is this what not-yet-implemented-"automatic learning" is? Learning new words when messages are marked as junk/not junk? If so, I'd like to plea to please implement this as soon as possible. Marking messages as junk/not junk will be a much easier way for me to train BayesIt than the built-in dialog. On a side topic: I have literally hundreds of mail folders and using the training dialog is very cumbersome; it would be nice if one could automatically update all of node's children with a single click (perhaps by holding down ctrl while clicking or something), so that way I could toggle spam/ham/ignore for an entire account or branch of nested folders without having to click hundreds of times. Thank you all for your time. -- James ________________________________________________________ Current beta is 2.00.06 | "Using TBBETA" information: http://www.silverstones.com/thebat/TBUDLInfo.html
