On 2024-12-28 at 02:21:28 UTC-0500 (Sat, 28 Dec 2024 08:21:28 +0100)
Pierluigi Frullani
is rumored to have said:
> Hello all,
> it seems that bugzilla is not very active, at least for sa-learm stuffs.
Indeed, there are not a lot of fresh bugs in a project as old as SpamAssassin.
We do watch i
Hello all,
it seems that bugzilla is not very active, at least for sa-learm stuffs.
I have just upgraded to 4.0.1 anf found that sa-learn has a problem ( and a
workaround ) when dealing with (imap) compressed files for which I've found
a workaround, and would like to report both.
Should I file a
On 06/22/2014 05:14 AM, Paul Stead wrote:
Hi Steve,
If you run sa-learn with the -D debug option, you'll see that most of
the time is during startup.
Yeah, I kinda figured. But I'm sure I read in the wiki or somewhere that
--no-sync was supposed to be "much faster" for learning individual e
Hi Steve,
If you run sa-learn with the -D debug option, you'll see that most of the time
is during startup.
I believe - correct me if I'm wrong - that spamc is the better option to use as
it will connect to existing spamd processes and is much quicker overall
Check it out - http://spamassassi
Hi,
I just have a question about the expected performance of salearn with
the --nosync option. Working with the default backend, with a bayes_toks
file size of less and 1 MB, it's taking about 1.5 seconds to learn 1
small email message without --no-sync, and about 1.3 seconds with
--no-sync.
/.sal-ham/new
Learned tokens from 0 message(s) (0 message(s) examined)
Erm.. OK. How about
# sa-learn --ham -u virtual [EMAIL PROTECTED]/.sal-ham/cur
Learned tokens from 13 message(s) (13 message(s) examined)
Hrm.
So, it appears that in order to check the sal-ham directories I will
actually ha
On Sun, 4 Mar 2007, Mário Gamito wrote:
I use Maildir, therefore i din't have a single file for sa-learn to act upon
Sure you do. Each message is a single file. Just run:
for msg in /var/spool/spam/*; do
sa-learn --spam /var/spool/spam/${msg}
done
Or, if you really wanted to make a sing
Mário Gamito wrote:
> Hi,
>
>> If you want your users to be able to bounce/resend messages to the
>> accounts, then yes, [EMAIL PROTECTED] and [EMAIL PROTECTED] should be
>> just normal mailboxes.
>
>> Maybe I'm missing something, but isn't the answer to your question
>> right above it?
> I use Mai
Hi,
If you want your users to be able to bounce/resend messages to the
accounts, then yes, [EMAIL PROTECTED] and [EMAIL PROTECTED] should be
just normal mailboxes.
Maybe I'm missing something, but isn't the answer to your question
right above it?
I use Maildir, therefore i din't have a singl
On Sat, 3 Mar 2007, Mário Gamito wrote:
SA has not created any mail accounts anywhere.
Yes, i'm aware of that.
I wondered if i should create them so that sa-learn could fetch the messages
from there.
If you want your users to be able to bounce/resend messages to the
accounts, then yes, [EMAI
Hi
> > sa-learn --spam spammail.txt
> > sa-learn --ham nonspammail.txt
>
> Well, so now the question is: how do i feed those .txt files ?
> That's all i need to know.
One possibility is that you have file-access to the mail directory.
The other (what I use on a server) is to fetch mails with fe
Hi,
Thank you for your enlightment.
A few details if you may please.
SA has not created any mail accounts anywhere.
Yes, i'm aware of that.
I wondered if i should create them so that sa-learn could fetch the
messages from there.
spam and ham are comamnd-line parameters to the sa-learn p
Mário Gamito wrote:
> Hi,
>
> I read all about sa-learn in SA's wiki, but still have some doubts:
>
> 1) The spam and ham are regular mail accounts, right ?
SA has not created any mail accounts anywhere.
spam and ham are comamnd-line parameters to the sa-learn program. Yo
Hi,
I read all about sa-learn in SA's wiki, but still have some doubts:
1) The spam and ham are regular mail accounts, right ?
2) After a user receives a false negative or a false positive, what
should they do ? Reply to the correspondent mail account ? Forward ?
I don't think s
Tom Q Citizen wrote:
When I enable debugging in the spam_buttons plugin, I get this output:
*COMMAND USED TO REPORT:* /usr/bin/sa-learn --spam
--configpath=/etc/spamassassin [EMAIL PROTECTED] <
../data//sb_tmp_13069_1166402817
This is the command the plugin issues to when it tries to flag a
Hi! I'm running SquirrelMail 1.4.9a on a Linux-based Apache 2.0.55/php
4.3.11 server and I have SpamAssassin 3.1.7 installed. I'm currently
trying to get the SquirrelMail spam_buttons plugin working:
http://www.squirrelmail.org/plugin_view.php?id=242
and I'm running into a problem I'm wantin
Nigel Frankcom wrote:
> On Mon, 13 Nov 2006 10:49:11 +0100, Cedric BUSCHINI
> <[EMAIL PROTECTED]> wrote:
>
>
>> Hello List,
>>
>> I d just like to have a confirmation about how to use sa-learn.
>>
>> 1 - create a directory containing spams (mails tagged as spam and mails not
>> tagged as spam
On Mon, 13 Nov 2006 10:49:11 +0100, Cedric BUSCHINI
<[EMAIL PROTECTED]> wrote:
>Hello List,
>
>I d just like to have a confirmation about how to use sa-learn.
>
>1 - create a directory containing spams (mails tagged as spam and mails not
>tagged as spam but which are real spams)
>2 - create a
Hello List,
I d just like to have a confirmation about how to use sa-learn.
1 - create a directory containing spams (mails tagged as spam and mails not tagged as spam but which are real spams)
2 - create a directory containing hams (mails not tagged as spam and which are not spam at all and
On my FC4 host spamassassin -V reports;
SpamAssassin version 3.1.3
running on Perl version 5.8.6
When running spamassassin --lint --debug the output to stdout stop here:
[16034] dbg: bayes: corpus size: nspam = 2291, nham = 642
[16034] dbg: bayes: tok_get_all: token count: 20
I ran sa-learn --d
Hi there.
I'm trying to set up an IMAP based bayesian learner using the
instructions in the SA wiki for RemoteIMAPFolder, etc.
I'm diverting messages to the IMAP mailstore from MIMEDefang, and I'm
trying to set up MIMEDefang to replicate SA's "report_safe"
encapsulation format so that sa-learn
Hi there.
I'm trying to set up an IMAP based bayesian learner using the
instructions in the SA wiki for RemoteIMAPFolder, etc.
I'm diverting messages to the IMAP mailstore from MIMEDefang, and I'm
trying to set up MIMEDefang to replicate SA's "report_safe"
encapsulation format so that sa-learn
who can tell me what the sa-learn learnt, and how to see what the
sa-learn learnt.
thanx
--
StevenPan
23 matches
Mail list logo
