On Sun, 17 Mar 2019, James wrote:
I've been getting a lot of spam so I'm thinking of lowering the "required"
number.
About 50 % spam gets a 4.4 so my required=4.5 is a tiny bit high.
I run sa-learn --ham on my inboxes.
Are you also capturing a spam corpus and learning from that? Bayes
requires samples of both before it can make an evaluation.
Is there a way to whitelist all the email addresses in my inboxes?
Not automagically.
You'd have to extract the sender addresses from your inboxes and dedupe
them and format them in the manner SA expects.
--
John Hardin KA7OHZ http://www.impsec.org/~jhardin/
jhar...@impsec.org FALaholic #11174 pgpk -a jhar...@impsec.org
key: 0xB8732E79 -- 2D8C 34F4 6411 F507 136C AF76 D822 E6E6 B873 2E79
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Taking my gun away because I *might* shoot someone is like cutting
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-- Peter Venetoklis
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717 days since the first commercial re-flight of an orbital booster (SpaceX)
