Here's a script I use to run sa-learn. How I manage mail is:
everything is in maildir for dovecot, delivered to via procmail
SA score >= 6 to /dev/null
SA score >= N to .spam.N for N in 1..5
other taggging from foo to .spam.foo
ham found in .spam.N filed back to INBOX
spam found in
On 8 Nov 2008, at 00:09, Matt Kettler wrote:
Matt Kettler wrote:
Neil wrote:
So maybe this is moving slightly off on a tangent, but:
Why does auto-learn sometimes learn spam with a rating of X, but not
spam with a rating of X+Y? Where's it's methodology?
First, there's several rules invo
Matt Kettler wrote:
> Neil wrote:
>
>> So maybe this is moving slightly off on a tangent, but:
>> Why does auto-learn sometimes learn spam with a rating of X, but not
>> spam with a rating of X+Y? Where's it's methodology?
>>
>
> First, there's several rules involved here.
>
> To autolearn
Neil wrote:
>
> So maybe this is moving slightly off on a tangent, but:
> Why does auto-learn sometimes learn spam with a rating of X, but not
> spam with a rating of X+Y? Where's it's methodology?
First, there's several rules involved here.
To autolearn as spam *ALL* of the following must be me
On 7 Nov 2008, at 23:43, Neil wrote:
On 7 Nov 2008, at 23:40, Matt Kettler wrote:
Neil wrote:
I'm wondering about the best way to train my Bayes filter (per-user
filtering).
I have a Junk folder, and it contains roughly three categories of
mail
(to my mind, at least):
A. Mail SpamAssass
On 7 Nov 2008, at 23:40, Matt Kettler wrote:
Neil wrote:
I'm wondering about the best way to train my Bayes filter (per-user
filtering).
I have a Junk folder, and it contains roughly three categories of
mail
(to my mind, at least):
A. Mail SpamAssassin marked spam and auto-learned as spam.
Neil wrote:
> I'm wondering about the best way to train my Bayes filter (per-user
> filtering).
>
> I have a Junk folder, and it contains roughly three categories of mail
> (to my mind, at least):
> A. Mail SpamAssassin marked spam and auto-learned as spam.
> B. Mail SpamAssassin marked spam, but d
I'm wondering about the best way to train my Bayes filter (per-user
filtering).
I have a Junk folder, and it contains roughly three categories of mail
(to my mind, at least):
A. Mail SpamAssassin marked spam and auto-learned as spam.
B. Mail SpamAssassin marked spam, but did not autolearn.
C
