On 2 Aug 2015 21:06:40 +0200
Christian Jaeger wrote:
> qpsmtpd is different here since it has a plugin architecture and then
> it definitely makes more sense to document things in the plugins,
> which are just modules. If spamassassin does not have such an
> architecture then I agree it makes sen
On August 2, 2015 7:36:36 PM CEST, RW wrote:
> In future start with
>
> man spamassassin
>
> which will lead you to:
>
> CONFIGURATION
>Mail::SpamAssassin::Conf SpamAssassin configuration files
I think I've actually seen this page rececntly. I also remember having looked
throug
On Sun, 2 Aug 2015, Christian Jaeger wrote:
On August 2, 2015 6:40:10 PM CEST, Reindl Harald wrote:
no idea what you are talking about by saying
"I can't find anything about this in the docs"
I'm talking about the bundled docs. The man / perldoc pages of
Mail::SpamAss
dled docs. The man / perldoc pages of
> Mail::SpamAssassin::Plugin::Bayes / Mail::SpamAssassin::*Bayes* and
> the default config files. That's where I expected this info to be.
In future start with
man spamassassin
which will lead you to:
CONFIGURATION
Mail::SpamAssassin::Conf
On August 2, 2015 6:40:10 PM CEST, Reindl Harald wrote:
> no idea what you are talking about by saying
> "I can't find anything about this in the docs"
I'm talking about the bundled docs. The man / perldoc pages of
Mail::SpamAssassin::Plugin::Bayes / Mail::SpamAssassi
Am 02.08.2015 um 18:36 schrieb Christian Jaeger:
On August 2, 2015 5:15:08 PM CEST, Reindl Harald wrote:
Am 02.08.2015 um 14:57 schrieb Roman Gelfand:
Could somebody post a successful bayes configuration?
??
you just need to *train* it for ham *and* spam
I think I remember from past
On August 2, 2015 5:15:08 PM CEST, Reindl Harald wrote:
>
> Am 02.08.2015 um 14:57 schrieb Roman Gelfand:
> > Could somebody post a successful bayes configuration?
>
> ??
>
> you just need to *train* it for ham *and* spam
I think I remember from past use of SA tha
Am 02.08.2015 um 14:57 schrieb Roman Gelfand:
Could somebody post a successful bayes configuration?
??
you just need to *train* it for ham *and* spam
signature.asc
Description: OpenPGP digital signature
Could somebody post a successful bayes configuration?
Thanks in advance
bled
>
>
> Nevertheless, the mtime _and_ size of ~/.spamassassin/bayes_journal
> inches forward with every delivery. Why?
Bayes keeps track of when each token last contributed to a
classification, so it knows which tokens to purge during an expiry.
That's the main reason for having a journal.
I have
bayes_auto_learn0
bayes_auto_expire 0
bayes_learn_to_journal 0
add_header all Autolearn _AUTOLEARN_
and indeed, all messages are tagged with
X-Spam-Autolearn: disabled
Nevertheless, the mtime _and_ size of ~/.spamassassin/bayes_journal
inches forward with every delivery. Why?
--
on it.
>
> Experiences with that absolutely do vary, widely.
That's rather my point.
> Keep in mind that
> Bayesian classification gives a statistical metric, not a human
> claim; the delta from 100% isn't a polite warning, it's as hard a
> fact as statis
Am 22.07.2015 um 15:52 schrieb Matus UHLAR - fantomas:
On 22.07.15 10:09, Reindl Harald wrote:
i doubt that you really want that and even if for sure not for
BAYES_99 but BAYES_999, it makes no sense - bayes alone is not the
only decision in a scoring system, it's one component
that
On 22.07.15 10:09, Reindl Harald wrote:
i doubt that you really want that and even if for sure not for
BAYES_99 but BAYES_999, it makes no sense - bayes alone is not the
only decision in a scoring system, it's one component
that said from someone scoring BAYES_999 with 7.9 while milter-r
Bayesian classification gives a statistical metric, not a human claim;
the delta from 100% isn't a polite warning, it's as hard a fact as
statistical prediction can provide, given a valid Bayes DB. 99.00% spam
certainty from Bayes will be wrong 1% of the time, on average. If you've
actually
On Wed, 22 Jul 2015 03:31:04 +
Roman Gelfand wrote:
> I think the issue was because I never ran sa-learn --sync.
That only matters if you set
bayes_learn_to_journal 1
sure not for
BAYES_99 but BAYES_999, it makes no sense - bayes alone is not the
only decision in a scoring system, it's one component
that said from someone scoring BAYES_999 with 7.9 while
milter-reject is 8.0 - the other rules are there to avoid
false-positives and false-negatives for a
nt that and even if for sure not for
> >BAYES_99 but BAYES_999, it makes no sense - bayes alone is not the
> >only decision in a scoring system, it's one component
> >
> >that said from someone scoring BAYES_999 with 7.9 while
> >milter-reject is 8.0 - the other rules are
no sense - bayes alone is not the
only decision in a scoring system, it's one component
that said from someone scoring BAYES_999 with 7.9 while milter-reject
is 8.0 - the other rules are there to avoid false-positives and
false-negatives for a good reason
So THIS explains, why you blame (us
Am 22.07.2015 um 05:05 schrieb Roman Gelfand:
shortcircuit BAYES_99 spam
shortcircuit BAYES_00 ham
On 22.07.15 10:09, Reindl Harald wrote:
i doubt that you really want that and even if for sure not for
BAYES_99 but BAYES_999, it makes no sense - bayes alone is not the
only decision in a
Am 22.07.2015 um 05:05 schrieb Roman Gelfand:
shortcircuit BAYES_99 spam
shortcircuit BAYES_00 ham
i doubt that you really want that and even if for sure not for BAYES_99
but BAYES_999, it makes no sense - bayes alone is not the only decision
in a scoring system, it's one component
I think the issue was because I never ran sa-learn --sync.
On Tue, Jul 21, 2015 at 11:09 PM Roman Gelfand wrote:
> this is my bayes config
>
> use_bayes 1
> use_bayes_rules 1
>
>
> # Bayesian classifier auto-learning (default: 1)
> #
> bayes_auto_learn 1
> baye
this is my bayes config
use_bayes 1
use_bayes_rules 1
# Bayesian classifier auto-learning (default: 1)
#
bayes_auto_learn 1
bayes_path /var/spamassassin/bayes
bayes_file_mode 0777
shortcircuit BAYES_99spam
shortcircuit BAYES_00ham
score BAYES_00 -3.5
score
I just ran spamassassin -D --lint. Below, is the bayes results.
Jul 21 22:49:41.958 [8922] dbg: bayes: learner_new
self=Mail::SpamAssassin::Plugin::Bayes=HASH(0xb54d58c),
bayes_store_module=Mail::SpamAssassin::BayesStore::DBM
Jul 21 22:49:42.063 [8922] dbg: bayes: learner_new: got
store=Mail
autolearn=no
> > version=3.3.2
>
> Are you certain that the Bayes database that you did your manual learning
> to is
> the same one that your mail filtering system is looking at?
>
> "BAYES_50" implies that your Bayes database (as used by your mail filtering
&g
,
MIME_HTML_ONLY,RDNS_NONE,T_FILL_THIS_FORM_SHORT,T_REMOTE_IMAGE
autolearn=no
version=3.3.2
Are you certain that the Bayes database that you did your manual learning to is
the same one that your mail filtering system is looking at?
"BAYES_50" implies that your Bayes database (as used by
I did numerous sa-learn on this one type of email and spamassasiin makes
the following evaluation every time. I am not sure what I am doing wrong.
X-Spam-Level: **
X-Spam-Status: No, score=2.3 required=5.0 tests=BAYES_50,HTML_MESSAGE,
MIME_HTML_ONLY,RDNS_NONE,T_FILL_THIS_FORM_SHORT,T_REMO
On Tue, 30 Jun 2015 11:41:23 -0500 (CDT)
David B Funk wrote:
> On Tue, 30 Jun 2015, Charles Sprickman wrote:
>
> > Reindl Harald wrote:
> >
> >>
> >> it can't with just 7 spam samples
> >
> > Oh my.
> >
> > So apparently my pre-spamassassin filtering is keeping all the best
> > spam away from sp
On Tue, 30 Jun 2015, Charles Sprickman wrote:
Reindl Harald wrote:
it can't with just 7 spam samples
Oh my.
So apparently my pre-spamassassin filtering is keeping all the best spam
away from spamassassin.
My autolearn threshold is set to 12 for spam. I’ll take it down a few
notches, feed
Charles Sprickman wrote:
> So apparently my pre-spamassassin filtering is keeping all the best spam
> away from spamassassin.
If you have pre-spamassassin filtering that is already classifying
message as spam then consider feeing those spam messages to
spamassassin's "sa-learn -
0 3 0 non-token data: bayes db version
>> 0.000 0 7 0 non-token data: nspam
>> 0.000 0243 0 non-token data: nham
>> 0.000 0 56976 0 non-token data: ntokens
>> 0.000
On Sun, 28 Jun 2015 19:14:40 -0400
Charles Sprickman wrote:
> 0.0000 7 0 non-token data: nspam
> ...
> But I never see any bayes rule hits in the headers of my emails. I
> have in my personal sql prefs the following:
bayes_min_ham_num (
Am 29.06.2015 um 01:14 schrieb Charles Sprickman:
If I run sa-learn and ask it to dump some info, that works:
[root@spam-b /usr/local/etc/mail/spamassassin]# sa-learn
--username=sp...@bway.net --dump magic
0.000 0 3 0 non-token data: bayes db version
0.000
This is hopefully easier than I’m thinking it is.
We’ve been running without bayes for a very long time and I thought I’d give
it a shot again with autolearning to see if it’s helpful. The last time I
touched it was 2.6.something and we had spam scanning spread across four
servers and I don’t
the default scores for the rules that
are being hit there and for the "required" threshold. A 100% certain
Bayes judgment (technically anything >99.9%) only adds up to a score of
3.7 with the default scores, and the default threshold is 5.0, so you
need *something more* than a Bayes
lve that and then consider *careful* to adjust
scores because it heavily depends on how your bayes in both directions
is trained
/etc/mail/spamassassin/local.cf
score BAYES_00 -3.5
score BAYES_05 -2.0
score BAYES_20 -1.0
score BAYES_40 -0.5
score BAYES_50 1.8
score BAYES_60 3.5
score BAYES_80 5
Periodically, I am running the following command on my spam box...
sa-learn --no-sync --spam /mbx/adomain.com/auser/Maildir/.Junk/{cur,new}
It seems to work. However, I continue to get this message type. Why?
Here is SA message.
X-Spam-Checker-Version: SpamAssassin 3.3.2 (2011-06-06) on mail.ad
Hello,
Attached you find the output of the sa-learn execution. The nine
spam E-Mails learned are there because I manually learned a mbox
file with spam. As you can see the ham part seems to work.
is there anyone who could help me on this or anyone who has the same
problem?
Or is it better to
On Sat, 20 Jun 2015 14:41:36 +0200
Dieter Scholz wrote:
> > Attached you find the output of the sa-learn execution. The nine
> > spam E-Mails learned are there because I manually learned a mbox
> > file with spam. As you can see the ham part seems to work.
> >
> is there anyone who could help me
Hello,
My problem is: The bayes filter does (auto-)learn ham mails but no
spam mails. In my logs I found spam mails that have a very high score
and should be autolearned. I think my bayes setup is correct, because
ham mails are learned as expected.
Autolearning is based on a different
Hello,
Hello,
My problem is: The bayes filter does (auto-)learn ham mails but no
spam mails. In my logs I found spam mails that have a very high score
and should be autolearned. I think my bayes setup is correct, because
ham mails are learned as expected.
Autolearning is based on a different
On 17-06-15 20:00, Dieter Scholz wrote:
> Hello,
>
>>> My problem is: The bayes filter does (auto-)learn ham mails but no
>>> spam mails. In my logs I found spam mails that have a very high score
>>> and should be autolearned. I think my bayes setup is correct,
Hello,
My problem is: The bayes filter does (auto-)learn ham mails but no
spam mails. In my logs I found spam mails that have a very high score
and should be autolearned. I think my bayes setup is correct, because
ham mails are learned as expected.
Autolearning is based on a different score to
Hello
you need to find out how these values are set
* bayes_auto_learn_threshold_nonspam -0.001
* bayes_auto_learn_threshold_spam 9.0
I have set these lines today. Do these differ from the default values?
Dieter
On Wed, 17 Jun 2015 17:19:43 +0200
Dieter Scholz wrote:
> My problem is: The bayes filter does (auto-)learn ham mails but no
> spam mails. In my logs I found spam mails that have a very high score
> and should be autolearned. I think my bayes setup is correct, because
> ham mails ar
queued. Postfix calls Amavis
through the milter interface.
My problem is: The bayes filter does (auto-)learn ham mails but no
spam mails. In my logs I found spam mails that have a very high score
and should be autolearned. I think my bayes setup is correct, because
ham mails are learned as expected
the milter interface.
My problem is: The bayes filter does (auto-)learn ham mails but no
spam mails. In my logs I found spam mails that have a very high score
and should be autolearned. I think my bayes setup is correct, because
ham mails are learned as expected.
What could be the problem
the milter interface.
My problem is: The bayes filter does (auto-)learn ham mails but no spam
mails. In my logs I found spam mails that have a very high score and
should be autolearned. I think my bayes setup is correct, because ham
mails are learned as expected.
What could be the problem
n the other
subthread, I was wrong with that assumption.
another simple solution is use SQL or redis storage for bayes database :-)
--
Matus UHLAR - fantomas, uh...@fantomas.sk ; http://www.fantomas.sk/
Warning: I wish NOT to receive e-mail advertising to this address.
Varovanie: na tuto adresu c
On 2015-05-25 09:43 +0200, Matus UHLAR - fantomas wrote:
Ian> But, in fact I already have a cronjob running "sa-learn
Ian> --force-expire". The reason I would prefer to remove it (and so
Ian> the reason for my original post) is that it does a journal sync as
Ian> well, which I didn't intend and w
On Sun, 24 May 2015 15:26:32 -0700
Ian Zimmerman wrote:
> On 2015-05-24 23:25 +0200, Mark Martinec wrote:
>
> Mark> With other bayes back-ends the traditional expiration mechanisms
> Mark> need to be used, either auto-expiration runs triggered from time
> Mark> to
On 2015-05-24 23:25 +0200, Mark Martinec wrote:
Mark> With other bayes back-ends the traditional expiration mechanisms
Mark> need to be used, either auto-expiration runs triggered from time
Mark> to time by SpamAssassin, or explicit expiration runs, e.g. from a
Mark> cron job
On 2015-05-24 23:25 +0200, Mark Martinec wrote:
Mark> With other bayes back-ends the traditional expiration mechanisms
Mark> need to be used, either auto-expiration runs triggered from time
Mark> to time by SpamAssassin, or explicit expiration runs, e.g. from a
Mark> cron job
Ian Zimmerman wrote:
I am very confused by the various features involving expiry from Bayes.
perldoc Mail::SpamAssassin::Conf :
bayes_expiry_max_db_size (default: 15)
What should be the maximum size of the Bayes tokens
database?
When expiry occurs
I am very confused by the various features involving expiry from Bayes.
perldoc Mail::SpamAssassin::Conf :
bayes_expiry_max_db_size (default: 15)
What should be the maximum size of the Bayes tokens database?
When expiry occurs, the Bayes system will keep
On 20.05.2015 18:29, Steve Rainwater wrote:
I've set up spamassassin with a site-wide bayes configuration. I have
some spamtrap email addresses that supply fresh spam into bayes for
training on a cron job. However, from what I've read, bayes needs to
have ongoing ham as well as spam fo
On 5/20/2015 12:29 PM, Steve Rainwater wrote:
I've set up spamassassin with a site-wide bayes configuration. I have
some spamtrap email addresses that supply fresh spam into bayes for
training on a cron job. However, from what I've read, bayes needs to
have ongoing ham as well a
I've set up spamassassin with a site-wide bayes configuration. I have
some spamtrap email addresses that supply fresh spam into bayes for
training on a cron job. However, from what I've read, bayes needs to
have ongoing ham as well as spam for training in order to work well.
What&#
On 2015-05-03 10:55, Reindl Harald wrote:
recently i observed by playing around with bayes-training that some junk
(maybe unintentional) is using the mimetype 'application/octet-stream'
instead 'text/html' containing the payload of a form with javascript
prevets the attach
Hi
recently i observed by playing around with bayes-training that some junk
(maybe unintentional) is using the mimetype 'application/octet-stream'
instead 'text/html' containing the payload of a form with javascript
prevets the attach
/sh
#
# sa-learn-systemwide
#
# Run sa-lean against user Maildir folders for ham / spam token learning
#
#
LOGFILE="/var/log/sa-learn-run.log"
SALEARNBIN="/usr/bin/sa-learn"
SAUSERNAME="Debian-exim"
SADBPATH="/var/spool/exim4/.spamassassin/bayes"
SAFOLDER
On 27 Mar 2015, at 13:03 , Michael wrote:
> Yes, that's true. But if I'm right, new mails stay in "new" until the
> appropriate folder in the IMAP client has been opened, right?
No. As soon as a client access the folder, it is moved to cur.
This has nothing to do with a user opening the folder.
xchange, they've disabled IMAP on public folders.
We have one setup where we forward the mail to their internal Exchange
system. We used to have spam and ham folders where users would place
mail for us to review then train bayes, but we haven't been able to do
it for a while because of this lack of IMAP issue.
Thanks,
Alex
hen it
works, autotraining does have the advantage of happening in real-time.
> And then maybe the default config which auto learns spam and
> ham is already the best...
the default doesn't learn ham well, I'd only do that as a last resort.
> My setup is already
On 27.03.2015 19:54, Matus UHLAR - fantomas wrote:
the easiest way is to train on false positives and false negatives.
dovecot imapd has plugin to train when mail is moved from/to spam.
On 27.03.15 20:10, Michael wrote:
My concerns are the following:
Sometimes new kind of spam is appearing. Th
On 27.03.2015 19:54, Matus UHLAR - fantomas wrote:
> On 27.03.15 15:16, Michael wrote:
>> I would like automatically learn each users Bayes database in the
>> following way:
>>
>> Do the following once a day for each user:
>> 1.) sa-learn -u username --ham
On 27.03.2015 16:21, Reindl Harald wrote:
>
>
> Am 27.03.2015 um 16:16 schrieb Michael:
>> I would like automatically learn each users Bayes database in the
>> following way:
>>
>> Do the following once a day for each user:
>> 1.) sa-learn -u username
On 27.03.2015 19:09, RW wrote:
> On Fri, 27 Mar 2015 15:16:13 +
> Michael wrote:
>
>> Hi,
>>
>> I would like automatically learn each users Bayes database in the
>> following way:
>>
>> Do the following once a day for each user:
>> 1.)
On 27.03.15 15:16, Michael wrote:
I would like automatically learn each users Bayes database in the
following way:
Do the following once a day for each user:
1.) sa-learn -u username --ham ../maildir/cur
2.) sa-learn -u username --spam ../maildir/.Spam/cur
What do you think about this
On Fri, 27 Mar 2015 15:16:13 +
Michael wrote:
> Hi,
>
> I would like automatically learn each users Bayes database in the
> following way:
>
> Do the following once a day for each user:
> 1.) sa-learn -u username --ham ../maildir/cur
> 2.) sa-learn -u username --s
Am 27.03.2015 um 16:16 schrieb Michael:
I would like automatically learn each users Bayes database in the
following way:
Do the following once a day for each user:
1.) sa-learn -u username --ham ../maildir/cur
2.) sa-learn -u username --spam ../maildir/.Spam/cur
The idea is to train the
Hi,
I would like automatically learn each users Bayes database in the
following way:
Do the following once a day for each user:
1.) sa-learn -u username --ham ../maildir/cur
2.) sa-learn -u username --spam ../maildir/.Spam/cur
The idea is to train the Bayes for each user without the need to
>
> Am 14.03.2015 um 16:45 schrieb Matus UHLAR - fantomas :
> ...but as I mentioned before, training spam from mail to non-existent
> recipients may be even a good thing…
I would not train from mail to non-existent recipients, but would restrict to a
defined set of spamtraps (which may have bee
UHLAR - fantomas napsal(a):
Filip Havlí?ek wrote:
I would like to ask you, how can I *allow **only **legitimate* email
addresses (existing users) for bayes learning?
On 13.03.15 14:54, Filip Havlíček wrote:
there is my configuration:
/etc/spamassassin/local.cf: http://pastebin.com/PM5jN8wi
/etc/po
I manage email through ISPConfig, I think wildcard for any domain is not
set.
Dne 13.3.2015 v 16:02 Matus UHLAR - fantomas napsal(a):
Filip Havlí?ek wrote:
I would like to ask you, how can I *allow **only **legitimate* email
addresses (existing users) for bayes learning?
On 13.03.15 14:54
Filip Havlí?ek wrote:
I would like to ask you, how can I *allow **only **legitimate* email
addresses (existing users) for bayes learning?
On 13.03.15 14:54, Filip Havlíček wrote:
there is my configuration:
/etc/spamassassin/local.cf: http://pastebin.com/PM5jN8wi
/etc/postfix/main.cf: http
19:57 schrieb Matus UHLAR - fantomas:
On Wed, 04 Mar 2015 13:35:55 +0100
Filip Havlí?ek wrote:
I would like to ask you, how can I *allow **only **legitimate* email
addresses (existing users) for bayes learning?
On 04.03.15 14:37, RW wrote:
Why send them through SpamAssassin in the first place
Am 11.03.2015 um 19:53 schrieb @lbutlr:
Non-token data: last expire time delta and last expire reduction count are
currently 0. What is the time before these fields might start to see data?
0.000 0 3 0 non-token data: bayes db version
0.000 0 2928
On 11.03.15 12:53, @lbutlr wrote:
Non-token data: last expire time delta and last expire reduction count are
currently 0. What is the time before these fields might start to see
data?
you must either allow auto-expire (which many people discourage) or run
expire manually (once per time)
--
Mat
Non-token data: last expire time delta and last expire reduction count are
currently 0. What is the time before these fields might start to see data?
0.000 0 3 0 non-token data: bayes db version
0.000 0 2928 0 non-token data: nspam
0.000
itete Nachricht
Betreff:RE: Re: questions about the internal bayes-storage
(KMM152616938V77165L0KM) :ppNA
Datum: Wed, 11 Mar 2015 12:33:32 + (UTC)
Von:ppkana1-kana
An: Reindl Harald
PayPal Email
It appears you're contacting us with an email address that is not
registered on
Am 11.03.2015 um 13:20 schrieb RW:
On Wed, 11 Mar 2015 12:49:55 +0100
Reindl Harald wrote:
"sa-learn --backup" looks like the tokens are stored as CRC32 which
(in case if i am right) brings the question which software /
library / implementation does the checksums
It's truncated sha1
ah ok
On Wed, 11 Mar 2015 12:49:55 +0100
Reindl Harald wrote:
> "sa-learn --backup" looks like the tokens are stored as CRC32 which
> (in case if i am right) brings the question which software /
> library / implementation does the checksums
It's truncated sha1.
"sa-learn --backup" looks like the tokens are stored as CRC32 which (in
case if i am right) brings the question which software / library /
implementation does the checksums
i recently faced that message after upgrade to MariaDB 10
150311 8:38:01 [Note] InnoDB: Using CPU crc32 instructions
loo
th no logging
and "spamc -s 2000 --port=10029 < sample.eml" results with only the
bayes hits in the report header for grep - perfect
test skript with 7 messages:
real0m1.153s
user0m0.043s
sys 0m0.093s
maybe stil tuneable to not give back the whole message, but that&#
On Thu, 05 Mar 2015 14:57:25 +0100
Benny Pedersen wrote:
> Joolee skrev den 2015-03-05 14:52:
> > Configure the rules directory as an empty folder.
>
> not working imho, it will be the same as when 3.4 is not complete
> installed
it wouldn't be an empty folder, you'd need a
23_bayes.cf (or sim
Am 05.03.2015 um 14:57 schrieb Benny Pedersen:
Joolee skrev den 2015-03-05 14:52:
Configure the rules directory as an empty folder.
not working imho, it will be the same as when 3.4 is not complete installed
disbled all plugins except check and bayes
check it still lint
and *how* to
Joolee skrev den 2015-03-05 14:52:
Configure the rules directory as an empty folder.
not working imho, it will be the same as when 3.4 is not complete
installed
disbled all plugins except check and bayes
check it still lint
On 5 March 2015 at 14:38, Reindl Harald
wrote:
is there a
Configure the rules directory as an empty folder.
On 5 March 2015 at 14:38, Reindl Harald wrote:
> is there a way to disable *all* tests except bayes without list a
> bazillion "score TEST 0"?
>
> the idea is a seperate spamd instance with '--siteconfigpath='
is there a way to disable *all* tests except bayes without list a
bazillion "score TEST 0"?
the idea is a seperate spamd instance with '--siteconfigpath=' for
automated classification tests of the whole spam/ham corpus with "spamc
-s 2000 --port=10029 < samp
Am 04.03.2015 um 19:57 schrieb Matus UHLAR - fantomas:
On Wed, 04 Mar 2015 13:35:55 +0100
Filip Havlí?ek wrote:
I would like to ask you, how can I *allow **only **legitimate* email
addresses (existing users) for bayes learning?
On 04.03.15 14:37, RW wrote:
Why send them through
On Wed, 04 Mar 2015 13:35:55 +0100
Filip Havlí?ek wrote:
I would like to ask you, how can I *allow **only **legitimate* email
addresses (existing users) for bayes learning?
On 04.03.15 14:37, RW wrote:
Why send them through SpamAssassin in the first place?
He apparently wants to filter mail
On Wed, 4 Mar 2015, Filip Havlíček wrote:
I would like to ask you, how can I *allow **only **legitimate* email
addresses (existing users) for bayes learning?
Reject invalid users at the MTA level during SMTP before the message even
hits SA.
--
John Hardin KA7OHZhttp
On Wed, 04 Mar 2015 13:35:55 +0100
Filip Havlí?ek wrote:
> Hi,
>
> I would like to ask you, how can I *allow **only **legitimate* email
> addresses (existing users) for bayes learning?
Why send them through SpamAssassin in the first place?
> Table bayes_token grow up to
amassassin/
no idea what "bayes_vars" is
Dne 4.3.2015 v 13:45 Reindl Harald napsal(a):
Am 04.03.2015 um 13:35 schrieb Filip Havlíček:
I would like to ask you, how can I *allow **only **legitimate* email
addresses (existing users) for bayes learning?
Table bayes_token grow up to
amassassin/
no idea what "bayes_vars" is
Dne 4.3.2015 v 13:45 Reindl Harald napsal(a):
Am 04.03.2015 um 13:35 schrieb Filip Havlíček:
I would like to ask you, how can I *allow **only **legitimate* email
addresses (existing users) for bayes learning?
Table bayes_token grow up to
Am 04.03.2015 um 13:35 schrieb Filip Havlíček:
I would like to ask you, how can I *allow **only **legitimate* email
addresses (existing users) for bayes learning?
Table bayes_token grow up to 0,5GB right now, because there are
thounsands of unknown email addresses like:
a...@hotmail.com
ablewi
Hi,
I would like to ask you, how can I *allow **only **legitimate* email
addresses (existing users) for bayes learning?
Table bayes_token grow up to 0,5GB right now, because there are
thounsands of unknown email addresses like:
a...@hotmail.com
ablewi...@hotmail.com
abl...@hotmail.com
mply the total
number of emails learned by Bayes.
rs is that these counts are above 200
(otherwise bayes is disabled).
You may get the number of tokens that are actually in the redis
database (not expired) by counting the number of lines produced
on stdout by 'sa-learn --backup' or 'sa-learn --dump data'.
The format of field
801 - 900 of 4925 matches
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